A method, device and system for detecting fatigue life of a conductive slip ring

Abstract

The present application relates to the technical field of conductive slip ring detection, and particularly relates to a conductive slip ring fatigue life detection method, device and system. First, according to the characteristics that the life of the conductive slip ring will be reflected in the temperature rise control ability and the brush pressure stability, the actual failure time of each historical conductive slip ring is analyzed. According to the actual failure time in the historical conductive slip ring, the residual life of each reference brush at each maximum value time is measured, and on the basis of the residual life, the similar situation of the brush in the to-be-detected conductive slip ring and each maximum value time in the brush pressure and temperature is combined to comprehensively determine the more accurate brush expected life of each brush in the to-be-detected conductive slip ring, so that the accuracy of the fatigue life detection of the to-be-detected conductive slip ring according to the brush expected life is higher.

Description

Technical Field

[0001] This invention relates to the field of conductive slip ring testing technology, specifically to a method, apparatus, and system for testing the fatigue life of conductive slip rings. Background Technology

[0002] A conductive slip ring is an electrical connection device used to transmit current, signals, or data between a stationary part and a rotating part. During long-term operation, it is subjected to continuous mechanical friction, current transmission, and environmental stress, which can easily lead to problems such as increased contact resistance, brush wear, overheating, or signal interruption. Therefore, fatigue life testing is of great significance.

[0003] Existing technologies typically employ bench accelerated testing to detect the fatigue life of conductive slip rings. However, bench accelerated testing cannot accurately reproduce the wear mechanisms under complex working conditions, such as brush pressure, temperature, and resistance, resulting in low accuracy of existing technologies for detecting the fatigue life of conductive slip rings. Summary of the Invention

[0004] To address the low accuracy of existing technologies for fatigue life testing of conductive slip rings, this application aims to provide a method, apparatus, and system for testing the fatigue life of conductive slip rings. The specific technical solution adopted is as follows: The first aspect of this application provides a method for detecting the fatigue life of a conductive slip ring, comprising: Obtain the resistance timing curve, temperature timing curve, and brush voltage timing curve for each brush in each conductive slip ring; the conductive slip ring includes historical conductive slip rings and conductive slip rings under test; determine the maximum value time of each brush based on the resistance timing curve; The influence of the brush is determined based on the neighborhood fluctuation deviation at each maximum moment in the resistance time-series curve; the brush pressure deviation of each brush is determined based on the overall temperature deviation at each maximum moment in the temperature time-series curve and the corresponding influence of the brush; and the corresponding temperature index is determined based on the brush pressure deviation and the temperature of each brush at each maximum moment. Based on the resistance, temperature, brush voltage deviation, and brush influence of the main conductive brush at each corresponding maximum moment in each historical conductive slip ring, the actual failure moment of each historical conductive slip ring is determined. Based on the actual failure time and the deviations of each brush in the conductive slip ring under test from the brush pressure deviation, initial brush pressure, and the degree of influence of each brush relative to the brushes in the historical conductive slip rings, the expected brush life of each brush in the conductive slip ring under test is determined; fatigue life testing of the conductive slip ring under test is then performed based on the expected brush life.

[0005] Furthermore, the process of obtaining the degree of influence of the brush includes: On the resistance timing curve, the time corresponding to the nearest minimum value before each maximum value is taken as the first reference time; the time corresponding to the nearest minimum value after each maximum value is taken as the second reference time; based on the difference between the resistance at each maximum value and the resistance at the corresponding first reference time, a first resistance deviation value is determined; based on the difference between the resistance at each maximum value and the resistance at the corresponding second reference time, a second resistance deviation value is determined; based on the difference between the first resistance deviation value and the second resistance deviation value, a negative correlation mapping is performed to determine the degree of brush voltage anomaly. A first reference interval is determined based on the time interval between each maximum value and the corresponding first reference value; a second reference interval is determined based on the time interval between each maximum value and the corresponding second reference value; a time interval characteristic value is determined based on the maximum value between the first reference interval and the second reference interval; a resistance deviation characteristic value is determined based on the minimum value between the first resistance deviation value and the second resistance deviation value; the product of the negative correlation mapping value of the resistance deviation characteristic value and the time interval characteristic value is normalized to determine the reference influence degree of each maximum value. The degree of brush influence at each maximum value is determined by multiplying the degree of brush pressure anomaly by the degree of reference influence.

[0006] Furthermore, the process of obtaining the brush pressure deviation includes: Calculate the mean temperature at all sampling moments on the temperature time-series curve to determine the reference temperature value for each brush in each conductive slip ring; input the difference between the temperature at each maximum moment on the temperature time-series curve and the reference temperature value into a linear rectification function to output the temperature weight at each maximum moment; determine the local deviation at each maximum moment based on the product of the temperature weight and the degree of influence of the brush; determine the corresponding brush pressure deviation based on the mean of the local deviations at all maximum moments for each brush in each conductive slip ring.

[0007] Furthermore, the process of obtaining the temperature index includes: In each conductive slip ring, the corresponding reference minimum temperature is determined based on the minimum value on the temperature time-series curve of each brush; the corresponding temperature reference value is determined based on the difference between the temperature of each brush at each maximum value and the corresponding reference minimum temperature; and the temperature index of each brush at each maximum value is determined based on the product of the normalized value of the brush pressure deviation of each brush and the temperature reference value.

[0008] Furthermore, the process of obtaining the actual failure time includes: In each historical conductive slip ring, the brush corresponding to the smallest brush voltage deviation is taken as the main conductive brush; the normalized value of the brush influence of the main conductive brush at each corresponding maximum moment is negatively correlated and mapped to determine the failure characteristic value at each maximum moment; the corresponding failure index is determined based on the normalized value of the temperature index at each maximum moment, the product of the failure characteristic value and the corresponding resistance; the maximum moment with the largest failure index is taken as the actual failure moment of each historical conductive slip ring.

[0009] Furthermore, the process for obtaining the expected lifespan of the brush includes: In each conductive slip ring, the initial brush pressure of the brush corresponding to the smallest brush pressure deviation is taken as the brush pressure threshold; the initial brush pressure is the brush pressure at the first sampling moment in the brush pressure timing curve; The reference remaining lifetime is determined based on the time interval between the maximum value time of each brush in each historical conductive slip ring and the corresponding actual failure time; the difference between the initial brush voltage of each brush in the conductive slip ring under test and the initial brush voltage of each brush in each historical conductive slip ring is negatively correlated and normalized to determine the corresponding similarity weight. The brushes in the conductive slip ring under test whose initial brush pressure is greater than or equal to the corresponding brush pressure threshold are used as the analysis brushes; the brushes in each historical conductive slip ring whose initial brush pressure is greater than or equal to the corresponding brush pressure threshold are used as the reference brushes of the analysis brushes; based on the brush pressure distribution deviation between the analysis brushes and the corresponding reference brushes, combined with the similarity weights and reference remaining lifetimes corresponding to the maximum values ​​of the corresponding reference brushes, the expected brush lifetime of the analysis brushes is determined. The brushes in the conductive slip ring under test whose initial brush pressure is less than the corresponding brush pressure threshold are designated as brushes of interest; the brushes in each historical conductive slip ring whose initial brush pressure is less than the corresponding brush pressure threshold are designated as reference brushes for the brushes of interest; based on the temperature exponential distribution deviation between the brushes of interest and the corresponding reference brushes, and combined with the similarity weights and reference remaining lifetimes corresponding to the maximum values ​​of the corresponding reference brushes, the expected brush lifetime of the brushes of interest is determined.

[0010] Further, the process of determining the expected brush life of the analytical brush based on the brush pressure distribution deviation between the analytical brush and the corresponding reference brushes, combined with the similarity weights and reference remaining lifetimes at each maximum moment of the corresponding reference brushes, includes: The difference between the initial brush pressure of each reference brush corresponding to the analysis brush and the brush pressure of the corresponding reference brush at each maximum moment is taken as the first reference difference; the difference between the initial brush pressure of the analysis brush and the brush pressure at the maximum moment closest to the current moment is taken as the second reference difference; the difference between the first reference difference and the second reference difference is negatively correlated to determine the brush pressure matching degree between the analysis brush and each of the corresponding reference brushes at each maximum moment; In all the maximum moments of each reference brush corresponding to the analyzed brush, the product of the reference remaining lifetime of the maximum moment corresponding to the maximum brush pressure matching degree and the corresponding similarity weight is used as the weighted remaining lifetime of the analyzed brush under each corresponding reference brush; the expected lifetime of the corresponding brush is determined based on the cumulative value of the weighted remaining lifetime of the analyzed brush under all corresponding reference brushes.

[0011] Further, the process of determining the expected brush life of the brush of interest based on the temperature index distribution deviation between the brush of interest and the corresponding reference brushes, combined with the similarity weights and reference remaining lifetimes at each maximum moment of the corresponding reference brushes, includes: The temperature index of the closest maximum value moment corresponding to the brush of interest is taken as the corresponding current temperature index; the difference between the current temperature index and the temperature index of each maximum value moment in each reference brush corresponding to the brush of interest is negatively correlated and mapped to determine the degree of temperature matching between the brush of interest and each maximum value moment of each corresponding reference brush. In all the maximum moments of each reference brush corresponding to the brush of interest, the product between the reference remaining lifetime of the maximum moment corresponding to the maximum temperature matching degree and the corresponding similarity weight is used as the weighted remaining lifetime of the brush of interest under each reference brush. The expected lifespan of the corresponding brush is determined by summing the weighted remaining lifespan of the brush of interest under all corresponding reference brushes.

[0012] Secondly, this application provides a conductive slip ring fatigue life testing system, the system comprising: The data acquisition and preprocessing module is used to acquire the resistance time-series curve, temperature time-series curve, and brush voltage time-series curve of each brush in each conductive slip ring; the conductive slip ring includes historical conductive slip rings and conductive slip rings under test; the maximum value time of each brush is determined based on the resistance time-series curve; The first determining module is used to determine the degree of influence of the brush based on the neighborhood fluctuation deviation at each maximum moment in the resistance time-series curve; to determine the brush pressure deviation of each brush based on the overall temperature deviation at each maximum moment in the temperature time-series curve and the corresponding degree of influence of the brush; and to determine the corresponding temperature index based on the brush pressure deviation and the temperature of each brush at each maximum moment. The second determining module is used to determine the actual failure time of each historical conductive slip ring based on the resistance, temperature, brush voltage deviation, and brush influence of the main conductive brush at each corresponding maximum value moment in each historical conductive slip ring. The conductive slip ring fatigue life detection module is used to determine the expected brush life of each brush in the conductive slip ring under test based on the actual failure time and the deviation of each brush in the brush pressure deviation, initial brush pressure, and degree of influence of each brush relative to the brushes in the historical conductive slip rings; and to perform fatigue life detection of the conductive slip ring under test based on the expected brush life.

[0013] Thirdly, this application provides a conductive slip ring fatigue life testing device, including a memory and a processor. The memory is used to store computer program code, and the processor is used to call and run the computer program code from the memory to perform the method as described in the first aspect or any embodiment of the first aspect of this application.

[0014] Fourthly, this application provides a computer program product comprising computer program code, which, when executed, performs the method as described in the first aspect of this application or any embodiment thereof.

[0015] Fifthly, this application provides a computer-readable storage medium that stores computer program code, which, when executed, performs the method as described in the first aspect of this application or any embodiment thereof.

[0016] This application has the following beneficial effects: This application first analyzes the actual failure time of each historical conductive slip ring based on the characteristics that the lifespan of the conductive slip ring is reflected in its temperature rise control capability and brush pressure stability. Then, based on the actual failure times of the historical conductive slip rings, it measures the remaining lifespan of each reference brush at each maximum value. Finally, based on this remaining lifespan and considering the similarity in brush pressure and temperature between the brushes in the conductive slip ring under test and each maximum value, it comprehensively determines a more accurate predicted lifespan for each brush in the conductive slip ring under test. This makes the fatigue life detection of the conductive slip ring under test based on the predicted brush lifespan more accurate. Attached Figure Description

[0017] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for detecting the fatigue life of a conductive slip ring according to an embodiment of the present invention; Figure 2 This is a structural diagram of a conductive slip ring fatigue life detection system provided in one embodiment of the present invention; Figure 3 This is a schematic diagram of a conductive slip ring fatigue life testing device provided in one embodiment of the present invention. Detailed Implementation

[0019] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a conductive slip ring fatigue life detection method, apparatus, and system proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of the conductive slip ring fatigue life detection method, device, and system provided by the present invention.

[0022] This application provides a method for detecting the fatigue life of a conductive slip ring. Please refer to [link to relevant documentation]. Figure 1 The diagram illustrates a flowchart of a method for detecting the fatigue life of a conductive slip ring according to an embodiment of the present invention. The method includes: Step S101: Obtain the resistance timing curve, temperature timing curve, and brush voltage timing curve for each brush in each conductive slip ring; the conductive slip rings include historical conductive slip rings and conductive slip rings under test; determine the maximum value time of each brush based on the resistance timing curve.

[0023] Historical conductive slip rings are those whose lifespan has ended (i.e., their lifespan has been exhausted) in historical data, i.e., before the current moment. Conductive slip rings under test are those whose lifespan has not yet ended during current use and whose fatigue life needs to be tested. For both historical and under-test conductive slip rings, all corresponding resistances, temperatures, and brush voltages are collected starting from the first sampling moment of their lifespan. That is, this embodiment of the invention performs full lifespan testing on historical conductive slip rings and real-time monitoring on under-test conductive slip rings.

[0024] In one specific implementation of this invention, strain gauges are attached to each brush holder spring support to measure the deformation caused by brush pressure changes in real time, thereby calculating the pressure applied by the brush to the slip ring. The strain gauges are connected to a strain acquisition module for stress-to-voltage conversion. After calibration, the data is converted into brush pressure data in real time, allowing the brush pressure of each brush at each sampling moment to be acquired when testing is required. Then, voltage data for each brush is acquired using a voltage sensor, and current data for each brush is acquired using a current sensor. The resistance of each brush at each sampling moment is determined in real time based on the ratio between the voltage and current data. The temperature of the conductive slip ring at each sampling moment is acquired using a temperature sensor. The temperature of the conductive slip ring is then assigned to each brush for analysis; that is, the temperature of each brush in the subsequent analysis process of this invention is actually the temperature of the conductive slip ring it is located in. It should be noted that the resistance, temperature, and brush pressure acquired in this invention are all linearly normalized data, which will not be further elaborated here.

[0025] Then, the resistances of all brushes in each conductive slip ring are arranged in time sequence and curve fitted to obtain the corresponding resistance time-series curve; the temperatures of all brushes in each conductive slip ring are arranged in time sequence and curve fitted to obtain the corresponding temperature time-series curve; the brush voltages of all brushes in each conductive slip ring are arranged in time sequence and curve fitted to obtain the corresponding brush voltage time-series curve.

[0026] The presence of a maximum value in the resistance timing curve indicates a sudden change in resistance, which may correspond to abnormal brush characteristics such as poor brush voltage, unstable contact, or brush failure. Therefore, the maximum value time for each brush is first determined based on the resistance timing curve. In one specific implementation of this invention, the sampling time corresponding to the maximum value in the resistance timing curve of each brush is taken as the maximum value time. Furthermore, in another specific implementation of this invention, the sampling frequency is set to once per second.

[0027] Step S102: Determine the influence of the brushes based on the neighborhood fluctuation deviation at each maximum moment in the resistance time-series curve; determine the brush voltage deviation of each brush based on the overall temperature deviation at each maximum moment in the temperature time-series curve and the corresponding influence of the brushes; determine the corresponding temperature index based on the brush voltage deviation and the temperature of each brush at each maximum moment.

[0028] A conductive slip ring typically consists of a rotor, a stator, conductive rings, brushes, and a housing. The rotor connects to the rotating end, the stator connects to the stationary end, and the brushes maintain sliding contact with the conductive rings under the action of elastic force, enabling the transmission of current or signals between the rotating and stationary structures.

[0029] Brush pressure, or the pressure between the brush and the conductive ring, plays a crucial role in the slip ring's lifespan. Insufficient brush pressure increases current fluctuations, affecting the reliability of power or signal transmission. Furthermore, low brush pressure reduces the contact area between the brush and the conductive ring, increasing contact resistance. Under high-speed rotation, this can easily lead to localized high temperatures and arcing, potentially causing contact erosion or even sintering, shortening slip ring lifespan and posing safety risks. Conversely, excessive brush pressure increases friction and wear, further shortening slip ring lifespan. Therefore, brush pressure deviation needs analysis. Poor brush pressure or unstable contact causes a temporary increase in contact resistance. The resistance before and after the fluctuation caused by abnormal brush pressure is similar, exhibiting high amplitude and short duration characteristics. Therefore, the influence of the brush pressure can be further determined by analyzing the neighborhood fluctuation deviation at each maximum value in the resistance time-series curve.

[0030] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the degree of influence of the brush includes: On the resistance timing curve, the time corresponding to the nearest minimum value before each maximum value is taken as the first reference time; the time corresponding to the nearest minimum value after each maximum value is taken as the second reference time. Based on the difference between the resistance at each maximum value and the resistance at the corresponding first reference time, the corresponding first resistance deviation value is determined; based on the difference between the resistance at each maximum value and the resistance at the corresponding second reference time, the corresponding second resistance deviation value is determined; a negative correlation mapping is performed based on the difference between the first and second resistance deviation values ​​to determine the brush voltage anomaly degree. It should be noted that for maximum values ​​where neither a first nor a second reference time exists, the corresponding brush voltage anomaly degree and reference influence degree are not calculated; instead, the corresponding brush influence degree is directly set as the average of the brush influence degrees at other maximum values.

[0031] The difference between the first resistance deviation value and the second resistance deviation value obviously represents the deviation between the two minimum values ​​on both sides of each maximum value moment. The smaller the corresponding deviation, the more it indicates that the resistance does not change significantly after the sudden change at the corresponding maximum value moment and returns to stability. This is consistent with the characteristic that the resistance before and after the contact resistance fluctuation caused by brush pressure abnormality is relatively similar. Therefore, the greater the degree of brush pressure abnormality, the greater the influence of the brush at the corresponding maximum value moment.

[0032] A first reference interval is determined based on the time interval between each maximum value time and the corresponding first reference time; a second reference interval is determined based on the time interval between each maximum value time and the corresponding second reference time; a time interval characteristic value for each maximum value time is determined based on the maximum value between the first reference interval and the second reference interval; and a resistance deviation characteristic value for each maximum value time is determined based on the minimum value between the first resistance deviation value and the second resistance deviation value. A larger time interval characteristic value indicates that, for a given maximum value, the two nearest minimum values ​​are closer to that maximum value. In other words, a smaller time interval characteristic value indicates a shorter duration of the resistance fluctuation represented by that maximum value, consistent with the short-duration characteristics of brush voltage anomalies. Conversely, a larger minimum value between the first and second resistance deviation values, i.e., a larger resistance deviation characteristic value, indicates a relatively smaller resistance fluctuation amplitude at that maximum value, consistent with the high-amplitude characteristics of brush voltage anomalies. Therefore, the negative correlation mapping value of the resistance deviation characteristic value is further normalized to the product of the time interval characteristic value to determine the reference influence degree for each maximum value. A larger reference influence degree better matches the resistance fluctuation characteristics caused by the brush, and correspondingly, a greater brush influence degree.

[0033] Finally, based on the correlation, the brush influence at each maximum value is determined by multiplying the brush pressure anomaly degree by the reference influence degree.

[0034] In some possible implementations of this invention, the process of obtaining the degree of influence of the brush is expressed by the following formula: ;in, For conductive slip rings The Middle The brush is at the first The degree of influence of the brush at each maximum value; For conductive slip rings The Middle The brush is at the first The first resistance deviation value at each maximum value; For conductive slip rings The Middle The brush is at the first The second resistance deviation value at each maximum value; It is the absolute value symbol; It is an exponential function with the natural constant as its base; For conductive slip rings The Middle The brush is at the first The degree of abnormality in brush pressure at each maximum value; For conductive slip rings The Middle The brush is at the first The maximum value of the first and second reference intervals at each maximum time point is also the corresponding time interval characteristic value. For conductive slip rings The Middle The brush is at the first The minimum value between the first resistance deviation value and the second resistance deviation value at each maximum value moment is the corresponding resistance deviation characteristic value. It is a linear normalized function. For conductive slip rings The Middle The brush is at the first The degree of reference influence at each maximum moment.

[0035] The lifespan of a conductive slip ring is primarily reflected in its temperature rise control capability during operation. Brush voltage, as a key parameter for reliable contact between the brush and the slip ring, directly affects the continuity of current transmission and the stability of contact resistance. Insufficient or fluctuating brush voltage will lead to problems such as arcing and accelerated wear, significantly shortening the slip ring's lifespan. Temperature rise reflects the system's energy consumption and heat accumulation status. Abnormal temperature rise is often caused by brush voltage instability, contact degradation, or localized ablation, and is a direct manifestation of lifespan degradation. Therefore, when the lifespan of a conductive slip ring is low, the brushes with the highest resistance values ​​in the time series of the brushes with lower lifespans have a higher degree of influence. Thus, by further combining the overall temperature deviation at each maximum value moment in the temperature time series curve with the corresponding brush influence, the brush voltage deviation of each brush can be determined. The smaller the brush voltage deviation, the stronger the temperature rise control capability of the corresponding brush, the more stable the corresponding brush, and the higher the reference value of the initial brush voltage of the corresponding brush as standard data.

[0036] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining brush pressure deviation includes: The mean temperature at all sampling moments on the temperature-time curve is calculated to determine the reference temperature value for each brush in each conductive slip ring. The difference between the temperature at each maximum moment on the temperature-time curve and the reference temperature value is input into a linear rectification function, which outputs the temperature weight for each maximum moment. According to the definition of the linear rectification function, the larger the temperature weight, the greater the temperature at the corresponding maximum moment on the temperature-time curve relative to the mean temperature at all sampling moments. In other words, the temperature at the corresponding maximum moment deviates more from the overall temperature characteristics of the corresponding temperature-time curve, indicating an abnormal temperature rise.

[0037] Therefore, with a higher temperature weight, a larger brush voltage deviation at the corresponding maximum moment is more likely to be caused by abnormal temperature rise due to resistance fluctuations in the corresponding brush, resulting in poorer brush stability and a smaller brush voltage deviation. Thus, the local deviation at each maximum moment is further determined based on the product of the temperature weight and the brush's influence. Considering that each brush may have multiple maximum moments, the local deviations of all maximum moments for each brush are integrated. The brush voltage deviation is determined based on the average of the local deviations of all maximum moments for each brush in each conductive slip ring, ensuring that a larger brush voltage deviation indicates a more stable brush.

[0038] In one specific implementation of this invention, the process of obtaining brush pressure deviation is expressed by the following formula: ;in, For conductive slip rings The Middle Brush pressure deviation of individual brushes; For conductive slip rings The Middle The number of peak moments for each brush; For conductive slip rings The Middle The brush is at the first Temperature at the moment of maximum value; For conductive slip rings The Middle The average temperature of each brush at all sampling times; It is a linear rectified function; For conductive slip rings The Middle The brush is at the first Temperature weight at each maximum value; For conductive slip rings The Middle The brush is at the first Local deviation at each maximum moment.

[0039] Considering that the temperature time series curve essentially represents the temperature of each conductive slip ring, and the brush pressure deviation should reflect the abnormal temperature rise of each brush, we can further combine the temperature data of the conductive slip ring with the brush pressure deviation of each brush to comprehensively determine the temperature characteristics of each brush at each maximum value moment, i.e., the temperature index; so that the larger the temperature index, the more abnormal the brush state at the corresponding maximum value moment is in the temperature dimension.

[0040] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the temperature index includes: in each conductive slip ring, determining the corresponding reference minimum temperature based on the minimum value on the temperature time-series curve of each brush; and determining the corresponding temperature reference value based on the difference between the temperature of each brush at each maximum value moment and the corresponding reference minimum temperature.

[0041] Temperature anomalies manifest as abnormally high temperatures due to heat accumulation. Therefore, for each maximum value moment, the greater the temperature relative to the reference minimum temperature, the more significant the temperature anomaly characteristics exhibited by the corresponding temperature reference value. Brush pressure deviation characterizes the brush's temperature rise control capability. Therefore, further, based on the product of the normalized value of each brush's brush pressure deviation and the temperature reference value, the temperature index of each brush at each maximum value moment is determined, such that a larger temperature index indicates a more abnormal brush temperature state. It should be noted that, unless otherwise specified, all normalization methods in the embodiments of this invention employ linear normalization.

[0042] Step S103: Determine the actual failure time of each historical conductive slip ring based on the resistance, temperature, brush voltage deviation, and brush influence of the main conductive brush at each corresponding maximum value moment in each historical conductive slip ring.

[0043] Further analysis of the actual failure time of each historical slip ring allows for the matching of the real-time state of each brush in the slip ring under test with the maximum value times of each brush in the historical slip rings. This enables a more accurate prediction of the brush's lifespan based on the time intervals between each maximum value time and the actual failure time. The lifespan of a slip ring is typically determined by the brush with the shortest remaining lifespan. Therefore, analysis can be conducted based on the main brush in each historical slip ring with the worst brush condition (i.e., the largest brush voltage deviation). The actual failure time of each historical slip ring can be determined by analyzing the resistance, temperature, brush voltage deviation, and brush influence of the main brush at each corresponding maximum value time.

[0044] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the actual failure time includes: In each historical conductive slip ring, the brush corresponding to the smallest brush pressure deviation is taken as the main conductive brush; the normalized value of the brush influence of the main conductive brush at each corresponding maximum moment is negatively correlated and mapped to determine the failure characteristic value at each maximum moment; the corresponding failure index is determined based on the product of the normalized value of the temperature index, the failure characteristic value and the corresponding resistance at each maximum moment. For each maximum value moment of the main conductive brush, the larger the corresponding resistance amplitude, the more severe the overall abnormal state of the brush. At the same time, the smaller the influence of the brush, the more likely the corresponding resistance abnormality is not a recoverable abnormality caused by brush voltage, but rather an abnormal resistance change under the corresponding failure state. Furthermore, the larger the temperature index, the more abnormal the brush temperature state, and the more likely it is a structural, thermal accumulation type of failure symptom. The corresponding maximum value moment is more likely to be the moment when the corresponding main conductive brush or historical conductive slip ring truly fails. Therefore, the maximum value moment with the largest failure index is finally taken as the actual failure moment of each historical conductive slip ring.

[0045] In one specific implementation of this invention, the process of obtaining the failure index is expressed by the formula: ;in, Historical conductive slip rings The main conductive brush in the corresponding number The timeliness index at the maximum value; Historical conductive slip rings The main conductive brush in the corresponding number The degree of influence of the brush at each maximum value; It is an exponential function with the natural constant as its base; It is a linear normalization function; Historical conductive slip rings The main conductive brush in the corresponding number Failure characteristic values ​​at each maximum value; Historical conductive slip rings The main conductive brush in the corresponding number Resistance at a maximum value; Historical conductive slip rings The main conductive brush in the corresponding number Temperature index at a maximum value.

[0046] Step S104: Based on the actual failure time and the deviation of each brush in the conductive slip ring under test from the brush pressure deviation, initial brush pressure, and the degree of influence of each brush relative to the brushes in the historical conductive slip rings, determine the expected brush life of each brush in the conductive slip ring under test; perform fatigue life testing of the conductive slip ring under test based on the expected brush life.

[0047] After determining the actual failure time of each historical slip ring, further following the above logic, by matching the real-time state of each brush in the slip ring under test with the maximum value time of each brush in the historical slip rings, a more accurate predicted brush life can be determined based on the time interval between each maximum value time and the actual failure time. Therefore, based on the actual failure time and the deviations of each brush in the slip ring under test in terms of brush voltage deviation, initial brush voltage, and the degree of influence of each brush relative to the brushes in the historical slip rings, the predicted brush life of each brush in the slip ring under test is determined.

[0048] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the expected lifespan of the brush includes: In each conductive slip ring, the initial brush voltage of the brush corresponding to the smallest brush voltage deviation is used as the brush voltage threshold; the initial brush voltage is the brush voltage at the first sampling moment in the brush voltage time series curve; the corresponding reference remaining lifetime is determined based on the time interval between each maximum moment of each brush in each historical conductive slip ring and the corresponding actual failure moment; the difference between the initial brush voltage of each brush in the conductive slip ring under test and the initial brush voltage of each brush in each historical conductive slip ring is negatively correlated and normalized to determine the corresponding similarity weight.

[0049] For each brush in the slip ring under test, the more similar its initial brush voltage is to the initial brush voltage of brushes in historical slip rings, the more similar the two brushes should be in terms of initial brush voltage. Therefore, the greater the similarity weight, the higher the reference remaining lifetime value of the corresponding brush at each maximum moment in the historical slip ring should be. It should be noted that, in this embodiment of the invention, if the maximum moment is after the actual failure moment when measuring the reference remaining lifetime, the reference remaining lifetime at the corresponding maximum moment needs to be set to 0 to better reflect the objective reality of the implementation environment.

[0050] Both excessive and insufficient brush pressure can shorten the lifespan of conductive slip rings, but their mechanisms differ. Insufficient brush pressure leads to unstable contact, easily causing arcing, brush skipping, and sudden changes in contact resistance, resulting in discontinuous current transmission, localized high-temperature ablation, and accelerated slip ring wear. Excessive brush pressure, on the other hand, significantly increases friction, causing excessive wear between the brush and the slip ring surface, while also increasing energy consumption and operating temperature, leading to material fatigue and thermal damage. Therefore, although both result in reduced lifespan, the root causes are contact degradation and excessive heat load, respectively. Thus, a threshold needs to be set to filter out brushes with excessive and insufficient brush pressure. The brush with the smallest brush pressure deviation is the most stable brush pressure in the conductive slip ring, indicating a healthier brush pressure state; therefore, its corresponding initial brush pressure is used as the brush pressure threshold for differentiation.

[0051] First, brushes in the conductive slip ring under test with initial brush voltage greater than or equal to the corresponding brush voltage threshold are selected as analysis brushes. Analysis brushes, i.e., brushes with relatively high brush voltage, suffer from reduced lifespan due to contact degradation; therefore, their predicted lifespan needs to be analyzed based on brush voltage magnitude. Further, brushes in each historical conductive slip ring with initial brush voltage greater than or equal to the corresponding brush voltage threshold are selected as reference brushes for the analysis brushes. Based on the brush voltage distribution deviation between the analysis brushes and their corresponding reference brushes, combined with the similarity weights and reference remaining lifespans corresponding to the maximum values ​​of the reference brushes, the predicted lifespan of the analysis brushes is determined.

[0052] In one specific implementation of this invention, the process of obtaining the expected brush life of the analysis brush includes: taking the difference between the initial brush pressure of each reference brush corresponding to the analysis brush and the brush pressure of the corresponding reference brush at each maximum moment as the corresponding first reference difference; taking the difference between the initial brush pressure of the analysis brush and the brush pressure at the maximum moment closest to the current moment as the second reference difference; and performing a negative correlation mapping between the difference between the first reference difference and the second reference difference to determine the brush pressure matching degree between the analysis brush and each corresponding reference brush at each maximum moment.

[0053] When the initial brush pressure is too high, it will decrease as the conductive slip ring operates. The degree of brush pressure reduction clearly reflects the wear and fatigue of the brush. For each maximum value moment of the reference brush, the degree of brush pressure reduction compared to the initial brush pressure of the reference brush represents the wear and fatigue of the reference brush. Similarly, the degree of brush pressure reduction at the maximum value moment closest to the current moment of the analytical brush compared to the initial brush pressure of the analytical brush also reflects the wear and fatigue of the analytical brush. Therefore, for each maximum value moment of the reference brush corresponding to the analytical brush, the smaller the difference between the corresponding first reference difference and the corresponding second reference difference, the closer the state of the analytical brush at the current moment matches the state of the corresponding reference brush at the corresponding maximum value moment in terms of brush pressure reduction, and the greater the degree of brush pressure matching.

[0054] In one specific implementation of this invention, the process of obtaining the brush pressure matching degree is expressed by the formula: ;in, To analyze the brush At the current moment and the corresponding first The first reference brush The degree of pressure matching between the maximum values; To analyze the brush Initial brush pressure; To analyze the brush The brush pressure at the maximum time closest to the current time among all corresponding maximum times; To analyze the brush The second reference difference; To analyze the brush The corresponding number The initial brush pressure of a reference brush; To analyze the brush The corresponding number The first reference brush The pressure at the maximum value; To analyze the brush The corresponding number The second reference difference of the reference brush.

[0055] Further, based on the brush pressure matching degree, the most matching maximum value moment among all maximum value moments of each corresponding reference brush at the current time can be selected, that is, the moment with the most similar state. The reference remaining lifetime of the most matching maximum value moment represents the remaining lifetime of the analytical brush under each reference brush comparison. For the analytical brush, the greater the similarity weight between it and the corresponding reference brush, the higher the reference remaining lifetime of each maximum value moment of the corresponding reference brush should be. Therefore, it is necessary to further weight the reference remaining lifetime of the maximum value moment corresponding to the maximum brush pressure matching degree using the corresponding similarity weight to determine the final weighted remaining lifetime of the analytical brush under each reference brush. Specifically: among all maximum value moments of each reference brush corresponding to the analytical brush, the product of the reference remaining lifetime of the maximum value moment corresponding to the maximum brush pressure matching degree and the corresponding similarity weight is used as the weighted remaining lifetime of the analytical brush under each corresponding reference brush.

[0056] Since the analyzed brush may correspond to multiple reference brushes, the estimated brush life is further determined by comprehensively analyzing the reference brushes corresponding to the analyzed brush and summing the weighted remaining lifetimes of the analyzed brush under all corresponding reference brushes. In a specific implementation of this invention, the process of obtaining the estimated brush life of the analyzed brush is expressed by the following formula: ;in, To analyze the brush The estimated lifespan of the brush at the current moment; To analyze the brush The corresponding reference number of brushes; To analyze the brush Initial brush pressure; To analyze the brush The corresponding number The initial brush pressure of a reference brush; To analyze the brush With the corresponding first Similarity weights between reference brushes; To analyze the brush In the corresponding number Weighted remaining lifetime under a reference brush; To analyze the brush With the corresponding first The reference remaining lifetime at the maximum value moment corresponding to the maximum brush pressure matching degree among all the maximum value moments of a reference brush; for The function enables the analysis of brushes. The sum of the similarity weights between the brush and all corresponding reference brushes is 1.

[0057] When brush pressure is insufficient, inadequate contact pressure leads to increased contact resistance, frequent arcing, and localized contact instability. These factors exacerbate frictional heating and hinder uniform heat dissipation, resulting in abnormal temperature rises or high-frequency temperature fluctuations. Therefore, temperature changes can sensitively reflect the contact quality degradation characteristics caused by insufficient brush pressure. Brushes in the tested conductive slip ring with initial brush pressure less than the corresponding brush pressure threshold are designated as brushes of interest. Brushes in each historical conductive slip ring with initial brush pressure less than the corresponding brush pressure threshold are designated as reference brushes for the brushes of interest. Based on the temperature index distribution deviation between the brushes of interest and their corresponding reference brushes, combined with the similarity weights corresponding to the maximum values ​​of the reference brushes and the reference remaining lifetime, the predicted brush lifetime of the brushes of interest is determined.

[0058] In one specific implementation of this invention, the process of obtaining the expected lifespan of the brush of interest includes: taking the temperature index of the closest maximum value moment corresponding to the brush of interest as the corresponding current temperature index; performing a negative correlation mapping between the difference between the current temperature index and the temperature index of each maximum value moment in each reference brush corresponding to the brush of interest, and determining the degree of temperature matching between the brush of interest and each maximum value moment of each corresponding reference brush.

[0059] The temperature index reflects any abnormalities in the brush temperature state. Therefore, the smaller the deviation between the temperature index of the brush closest to its current maximum value and the temperature index of each maximum value in each corresponding reference brush, the closer the temperature state of the brush at the current moment matches the temperature state of the corresponding maximum value in the corresponding reference brush. Analogous to the function of brush pressure matching, the maximum value corresponding to the highest temperature matching degree that is most similar to the state of the brush at the current moment can be selected. Therefore, this embodiment of the invention further analogizes to the process of obtaining the expected brush lifespan. Among all the maximum values ​​of each reference brush corresponding to the brush of interest, the product of the reference remaining lifespan of the maximum value corresponding to the highest temperature matching degree and the corresponding similarity weight is used as the weighted remaining lifespan of the brush of interest under each corresponding reference brush. Based on the cumulative value of the weighted remaining lifespan of the brush of interest under all corresponding reference brushes, the expected brush lifespan is determined.

[0060] In one specific implementation of this invention, the process of obtaining the temperature matching degree is expressed by the formula: ;in, To focus on brushes At the current moment and the corresponding first The first reference brush The degree of temperature matching between the moments of maximum values; To focus on brushes The temperature index at the moment closest to the current maximum value; To focus on brushes The corresponding number The first reference brush Temperature index at the moment of maximum value.

[0061] In one specific implementation of this invention, the process of obtaining the expected lifespan of the brush is expressed by the formula: ;in, To focus on brushes The expected lifespan of the brushes; To focus on brushes Reference number of brushes; To focus on brushes With the corresponding first The reference remaining lifetime at the maximum moment corresponding to the maximum temperature matching degree among all the maximum moments of a reference brush; To focus on brushes Initial brush pressure; To focus on brushes The corresponding number The initial brush pressure of a reference brush; To focus on brushes With the corresponding first Similarity weights between reference brushes; To focus on brushes In the corresponding number Weighted remaining lifetime under a reference brush.

[0062] After obtaining the expected brush lifespan of each brush in the slip ring under test at the current moment, fatigue life testing of the slip ring is finally performed based on the expected brush lifespan. In a specific implementation of this invention, the minimum value of the expected brush lifespan of all brushes in the slip ring under test at the current moment is taken as the final slip ring lifespan. This is because in a slip ring system, multiple brushes participate in conduction and signal transmission. If one brush experiences severe wear, poor contact, or failure, it may lead to a decrease in the electrical performance of the entire slip ring or even functional interruption, affecting the overall reliability of the system. Therefore, the minimum expected brush lifespan is selected as the final slip ring lifespan.

[0063] In summary, this application proposes a method for detecting the fatigue life of conductive slip rings. Firstly, based on the characteristic that the lifespan of a conductive slip ring is reflected in its temperature rise control capability and brush pressure stability, the actual failure time of each historical conductive slip ring is analyzed. Then, based on the actual failure times of the historical conductive slip rings, the remaining lifespan of each reference brush at each maximum value is measured. Finally, based on this remaining lifespan and considering the similarity in brush pressure and temperature between the brushes in the conductive slip ring under test and those at each maximum value, a more accurate predicted brush lifespan is determined for each brush in the conductive slip ring under test. This results in higher accuracy in detecting the fatigue life of the conductive slip ring under test based on the predicted brush lifespan.

[0064] This application also provides a conductive slip ring fatigue life testing system; please refer to [link / reference]. Figure 2 The diagram shows a structural diagram of a conductive slip ring fatigue life detection system according to an embodiment of the present invention. The system includes: a data acquisition and preprocessing module 201, a first determination module 202, a second determination module 203, and a conductive slip ring fatigue life detection module 204.

[0065] The data acquisition and preprocessing module 201 is used to acquire the resistance time-series curve, temperature time-series curve, and brush voltage time-series curve of each brush in each conductive slip ring; the conductive slip ring includes historical conductive slip rings and conductive slip rings under test; the maximum value time of each brush is determined based on the resistance time-series curve; The first determining module 202 is used to determine the degree of influence of the brush based on the neighborhood fluctuation deviation at each maximum moment in the resistance time-series curve; to determine the brush voltage deviation of each brush based on the overall temperature deviation at each maximum moment in the temperature time-series curve and the corresponding degree of influence of the brush; and to determine the corresponding temperature index based on the brush voltage deviation and the temperature of each brush at each maximum moment. The second determining module 203 is used to determine the actual failure time of each historical conductive slip ring based on the resistance, temperature, brush voltage deviation and brush influence of the main conductive brush at each corresponding maximum value moment in each historical conductive slip ring. The conductive slip ring fatigue life detection module 204 is used to determine the expected life of each brush in the conductive slip ring under test based on the actual failure time and the deviation of each brush in the test ring from the brush pressure deviation, initial brush pressure, and the degree of influence of each brush relative to the brushes in the historical conductive slip rings; and to perform fatigue life detection of the conductive slip ring under test based on the expected life of the brushes.

[0066] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above. In addition, the conductive slip ring fatigue life detection system and the conductive slip ring fatigue life detection method embodiment provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiment, which will not be repeated here.

[0067] This application also provides a conductive slip ring fatigue life testing device. Please refer to [link to relevant documentation]. Figure 3 The diagram shows a schematic of a conductive slip ring fatigue life testing device according to an embodiment of the present invention. The conductive slip ring fatigue life testing device includes a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. When the processor 302 executes the computer program 303, the conductive slip ring fatigue life testing device can perform any of the conductive slip ring fatigue life testing methods described above.

[0068] This application also provides a computer program product that, when run on a conductive slip ring fatigue life testing device, enables the conductive slip ring fatigue life testing device to execute any of the aforementioned conductive slip ring fatigue life testing methods.

[0069] This application also provides a computer-readable storage medium storing computer program code. When the computer program code is run on the conductive slip ring fatigue life testing device, the conductive slip ring fatigue life testing device can execute any of the conductive slip ring fatigue life testing methods described above.

[0070] In the embodiments provided in this application, it should be understood that the conductive slip ring fatigue life testing device, computer program product and computer-readable storage medium provided are all used to execute the corresponding methods provided above, so the beneficial effects they can achieve can be referred to the beneficial effects in the methods provided above, and will not be repeated here.

[0071] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for detecting the fatigue life of a conductive slip ring, characterized in that, The method includes: Obtain the resistance timing curve, temperature timing curve, and brush voltage timing curve for each brush in each conductive slip ring; the conductive slip ring includes historical conductive slip rings and conductive slip rings under test; determine the maximum value time of each brush based on the resistance timing curve; The influence of the brush is determined based on the neighborhood fluctuation deviation at each maximum moment in the resistance time-series curve; the brush pressure deviation of each brush is determined based on the overall temperature deviation at each maximum moment in the temperature time-series curve and the corresponding influence of the brush; and the corresponding temperature index is determined based on the brush pressure deviation and the temperature of each brush at each maximum moment. Based on the resistance, temperature, brush voltage deviation, and brush influence of the main conductive brush at each corresponding maximum value moment in each historical conductive slip ring, the actual failure moment of each historical conductive slip ring is determined; in each historical conductive slip ring, the brush corresponding to the smallest brush voltage deviation is taken as the main conductive brush. Based on the actual failure time and the deviations of each brush in the conductive slip ring under test from the brush pressure deviation, initial brush pressure, and degree of influence of each brush relative to the brushes in the historical conductive slip rings, the expected brush life of each brush in the conductive slip ring under test is determined; fatigue life testing of the conductive slip ring under test is performed based on the expected brush life. The initial brush pressure is the brush pressure at the first sampling moment in the brush pressure timing curve; The process of obtaining the brush pressure deviation includes: Calculate the mean temperature at all sampling moments on the temperature time-series curve to determine the reference temperature value for each brush in each conductive slip ring; input the difference between the temperature at each maximum moment on the temperature time-series curve and the reference temperature value into a linear rectification function to output the temperature weight at each maximum moment; determine the local deviation at each maximum moment based on the product of the temperature weight and the degree of influence of the brush; determine the corresponding brush pressure deviation based on the mean of the local deviations at all maximum moments for each brush in each conductive slip ring.

2. The method for detecting the fatigue life of a conductive slip ring according to claim 1, characterized in that, The process of obtaining the degree of influence of the brush includes: On the resistance timing curve, the time corresponding to the nearest minimum value before each maximum value is taken as the first reference time; the time corresponding to the nearest minimum value after each maximum value is taken as the second reference time; based on the difference between the resistance at each maximum value and the resistance at the corresponding first reference time, a first resistance deviation value is determined; based on the difference between the resistance at each maximum value and the resistance at the corresponding second reference time, a second resistance deviation value is determined; based on the difference between the first resistance deviation value and the second resistance deviation value, a negative correlation mapping is performed to determine the degree of brush voltage anomaly. A first reference interval is determined based on the time interval between each maximum value and the corresponding first reference value; a second reference interval is determined based on the time interval between each maximum value and the corresponding second reference value; a time interval characteristic value is determined based on the maximum value between the first reference interval and the second reference interval; a resistance deviation characteristic value is determined based on the minimum value between the first resistance deviation value and the second resistance deviation value; the product of the negative correlation mapping value of the resistance deviation characteristic value and the time interval characteristic value is normalized to determine the reference influence degree of each maximum value. The degree of brush influence at each maximum value is determined by multiplying the degree of brush pressure anomaly by the degree of reference influence.

3. The method for detecting the fatigue life of a conductive slip ring according to claim 1, characterized in that, The process of obtaining the temperature index includes: In each conductive slip ring, the corresponding reference minimum temperature is determined based on the minimum value on the temperature time-series curve of each brush; the corresponding temperature reference value is determined based on the difference between the temperature of each brush at each maximum value and the corresponding reference minimum temperature; and the temperature index of each brush at each maximum value is determined based on the product of the normalized value of the brush pressure deviation of each brush and the temperature reference value.

4. The method for detecting the fatigue life of a conductive slip ring according to claim 1, characterized in that, The process of obtaining the actual failure time includes: The normalized values ​​of the brush influence at each maximum moment of the main conductive brush are negatively correlated to determine the failure characteristic value at each maximum moment; the corresponding failure index is determined based on the normalized value of the temperature index at each maximum moment, the product of the failure characteristic value and the corresponding resistance; the maximum moment with the largest failure index is taken as the actual failure moment of each historical conductive slip ring.

5. The method for detecting the fatigue life of a conductive slip ring according to claim 1, characterized in that, The process of obtaining the expected lifespan of the brush includes: In each conductive slip ring, the initial brush pressure of the brush corresponding to the smallest brush pressure deviation is taken as the brush pressure threshold. The reference remaining lifetime is determined based on the time interval between the maximum value time of each brush in each historical conductive slip ring and the corresponding actual failure time; the difference between the initial brush voltage of each brush in the conductive slip ring under test and the initial brush voltage of each brush in each historical conductive slip ring is negatively correlated and normalized to determine the corresponding similarity weight. The brushes in the conductive slip ring under test whose initial brush pressure is greater than or equal to the corresponding brush pressure threshold are used as the analysis brushes; the brushes in each historical conductive slip ring whose initial brush pressure is greater than or equal to the corresponding brush pressure threshold are used as the reference brushes of the analysis brushes; based on the brush pressure distribution deviation between the analysis brushes and the corresponding reference brushes, combined with the similarity weights and reference remaining lifetimes corresponding to the maximum values ​​of the corresponding reference brushes, the expected brush lifetime of the analysis brushes is determined. The brushes in the conductive slip ring under test whose initial brush pressure is less than the corresponding brush pressure threshold are designated as brushes of interest; the brushes in each historical conductive slip ring whose initial brush pressure is less than the corresponding brush pressure threshold are designated as reference brushes for the brushes of interest; based on the temperature exponential distribution deviation between the brushes of interest and the corresponding reference brushes, and combined with the similarity weights and reference remaining lifetimes corresponding to the maximum values ​​of the corresponding reference brushes, the expected brush lifetime of the brushes of interest is determined.

6. The method for detecting the fatigue life of a conductive slip ring according to claim 5, characterized in that, The process of determining the expected brush life of the analytical brush based on the brush pressure distribution deviation between the analytical brush and the corresponding reference brushes, combined with the similarity weights and reference remaining lifetimes at each maximum moment of the corresponding reference brushes, includes: The difference between the initial brush pressure of each reference brush corresponding to the analysis brush and the brush pressure of the corresponding reference brush at each maximum moment is taken as the first reference difference; the difference between the initial brush pressure of the analysis brush and the brush pressure at the maximum moment closest to the current moment is taken as the second reference difference; the difference between the first reference difference and the second reference difference is negatively correlated to determine the brush pressure matching degree between the analysis brush and each of the corresponding reference brushes at each maximum moment; In all the maximum moments of each reference brush corresponding to the analyzed brush, the product of the reference remaining lifetime of the maximum moment corresponding to the maximum brush pressure matching degree and the corresponding similarity weight is used as the weighted remaining lifetime of the analyzed brush under each corresponding reference brush; the expected lifetime of the corresponding brush is determined based on the cumulative value of the weighted remaining lifetime of the analyzed brush under all corresponding reference brushes.

7. The method for detecting the fatigue life of a conductive slip ring according to claim 5, characterized in that, The process of determining the expected lifespan of the brush of interest based on the temperature index distribution deviation between the brush of interest and the corresponding reference brushes, combined with the similarity weights and reference remaining lifespans at each maximum moment of the corresponding reference brushes, includes: The temperature index of the closest maximum value moment corresponding to the brush of interest is taken as the corresponding current temperature index; the difference between the current temperature index and the temperature index of each maximum value moment in each reference brush corresponding to the brush of interest is negatively correlated and mapped to determine the degree of temperature matching between the brush of interest and each maximum value moment of each corresponding reference brush. In all the maximum moments of each reference brush corresponding to the brush of interest, the product between the reference remaining lifetime of the maximum moment corresponding to the maximum temperature matching degree and the corresponding similarity weight is used as the weighted remaining lifetime of the brush of interest under each reference brush. The expected lifespan of the corresponding brush is determined by summing the weighted remaining lifespan of the brush of interest under all corresponding reference brushes.

8. A fatigue life testing system for conductive slip rings, characterized in that, The system includes: The data acquisition and preprocessing module is used to acquire the resistance time-series curve, temperature time-series curve, and brush voltage time-series curve of each brush in each conductive slip ring; the conductive slip ring includes historical conductive slip rings and conductive slip rings under test; the maximum value time of each brush is determined based on the resistance time-series curve; The first determining module is used to determine the degree of influence of the brush based on the neighborhood fluctuation deviation at each maximum moment in the resistance time-series curve; to determine the brush pressure deviation of each brush based on the overall temperature deviation at each maximum moment in the temperature time-series curve and the corresponding degree of influence of the brush; and to determine the corresponding temperature index based on the brush pressure deviation and the temperature of each brush at each maximum moment. The process of obtaining the brush pressure deviation includes: Calculate the mean temperature at all sampling moments on the temperature time-series curve to determine the reference temperature value for each brush in each conductive slip ring; input the difference between the temperature at each maximum moment on the temperature time-series curve and the reference temperature value into a linear rectification function to output the temperature weight at each maximum moment; determine the local deviation at each maximum moment based on the product of the temperature weight and the influence degree of the brush; determine the corresponding brush pressure deviation based on the mean of the local deviations at all maximum moments for each brush in each conductive slip ring. The second determining module is used to determine the actual failure time of each historical conductive slip ring based on the resistance, temperature, brush voltage deviation, and brush influence of the main conductive brush at each corresponding maximum value moment in each historical conductive slip ring; in each historical conductive slip ring, the brush corresponding to the brush voltage deviation with the smallest value is taken as the main conductive brush; The conductive slip ring fatigue life detection module is used to determine the expected brush life of each brush in the conductive slip ring under test based on the actual failure time and the deviation of each brush in the brush pressure deviation, initial brush pressure, and influence degree of each brush relative to the brushes in the historical conductive slip rings. The module then performs fatigue life detection on the conductive slip ring under test based on the expected brush life. The initial brush pressure is the brush pressure at the first sampling time in the brush pressure time series curve.

9. A conductive slip ring fatigue life testing device, comprising a memory and a processor; wherein, The memory is used to store computer program code that can run on the processor; the processor is used to call and run the computer program code from the memory to implement the steps of the conductive slip ring fatigue life detection method as described in any one of claims 1-7.

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