Power communication equipment aging detection method combined with electric parameter and temperature monitoring

Abstract

The application relates to the technical field of fault diagnosis, in particular to a power communication equipment aging detection method combining electric parameters and temperature monitoring, which comprises the following steps: extracting ripple characteristic coefficients by utilizing the non-stationary change characteristics of various electric parameter data in each local period in power communication power supply equipment aging detection; calculating an evaluation result of circuit ripple deterioration, calculating an overheating risk coefficient through the working temperature fluctuation of MOSFET devices in the power communication power supply, and then obtaining a coupling aging characteristic value, and based on this, calculating an evaluation result of the coupling aging risk in each equipment aging detection, which is used for judging the aging stage of the power communication power supply equipment, and then realizing the aging detection of the power communication power supply equipment. The application can improve the aging detection precision of the power communication equipment.

Description

Technical Field

[0001] This application relates to the field of fault diagnosis technology, specifically to an aging detection method for power communication equipment that combines electrical parameters and temperature monitoring. Background Technology

[0002] Power communication equipment is used for remote monitoring and control of the operating status of equipment such as transformers and transmission lines, enabling data transmission and command issuance. Therefore, power communication equipment is crucial for the safe and stable operation of the power grid. However, during long-term operation, factors such as service life, thermal stress, and load fluctuations can cause aging issues in power communication equipment, leading to a decline in communication performance within the power system and even serious communication failures, posing significant safety hazards. Therefore, regular aging inspections of power communication equipment are necessary. When aging or damage is detected, the damaged or aged power communication equipment must be replaced promptly to ensure the communication performance of the power system.

[0003] Traditional aging detection of power communication equipment primarily involves real-time monitoring of the equipment's electrical parameters and extracting aging characteristic parameters. Based on these parameters, threshold values ​​are then used to determine if aging issues exist. However, traditional aging detection methods, which rely mainly on aging characteristic indicators, struggle to effectively capture the coupled aging characteristics of abnormal electrical parameters and heat dissipation degradation. This results in inaccurate assessments of equipment aging, posing significant safety hazards. Summary of the Invention

[0004] To address the aforementioned technical problems, this application provides an aging detection method for power communication equipment that combines electrical parameters and temperature monitoring, thereby resolving the existing issues.

[0005] The aging test method for power communication equipment based on combined electrical parameter and temperature monitoring in this application adopts the following technical solution:

[0006] One embodiment of this application provides an aging detection method for power communication equipment that combines electrical parameters and temperature monitoring, including the following steps:

[0007] By utilizing the non-stationary variation characteristics of various electrical parameter data within different local time periods during the aging test of power communication power supply equipment, ripple characteristic coefficients are extracted. These electrical parameters include the output current and output voltage of the internal rectifier module of the power communication power supply. The average level of the ripple characteristic coefficients corresponding to each type of electrical parameter data and the abnormal fluctuations of each type of electrical parameter data are analyzed to obtain the assessment results of circuit ripple deterioration. The overheating risk coefficient is calculated based on the operating temperature fluctuations of the internal MOSFET devices of the power communication power supply. Combined with the assessment results of circuit ripple deterioration, coupled aging characteristic values ​​are obtained. The difference between the average levels of coupled aging characteristic values ​​in two adjacent equipment aging tests is used to obtain the assessment results of coupled aging risk in each equipment aging test. Based on the assessment results of coupled aging risk, the aging stage of the power communication power supply equipment is determined, thereby realizing the aging test of the power communication power supply equipment.

[0008] Preferably, the time-series data of various electrical parameters in each local time period during the aging test are used to form a time-series sequence of various electrical parameters for each local time period, and the absolute difference between each electrical parameter data in the time-series sequence of various electrical parameters and the mean data of various electrical parameters in all local time periods is calculated.

[0009] Preferably, the absolute values ​​of various electrical parameter data are calculated as average values ​​over all local time periods, and the ratio of the absolute difference to the average value is used as the ripple characteristic coefficient of each electrical parameter data in the time series of various electrical parameters.

[0010] Preferably, the process for obtaining the evaluation result of the circuit ripple degradation is as follows: In the formula, This represents the evaluation result of circuit ripple degradation during the t-th local time period. For the number of electrical parameter types, It is an exponential function with the natural constant as its base. Let be the mean of the ripple characteristic coefficients of all electrical parameter data of type j in the time series of the t-th local time period. Let be the standard deviation of all elements in the first-order difference sequence of the time series sequence of the j-th type of electrical parameters in the t-th local time period.

[0011] Preferably, the operating temperature of the MOSFET device inside the power communication power supply is obtained, the difference between the operating temperature of the MOSFET device in each local time period and the minimum operating temperature of the MOSFET device in all local time periods is calculated, and the ratio of the difference to the minimum operating temperature is used as the overheating risk coefficient for each local time period.

[0012] Preferably, the product of the overheating risk coefficient for each local time period and the assessment result of circuit ripple deterioration is recorded as the coupled aging characteristic value for each local time period.

[0013] Preferably, the process for obtaining the assessment results of coupled aging risks in each equipment aging test is as follows:

[0014] In the formula, and These are the assessment results of coupled aging risk in the s-th and s-1-th equipment aging tests, respectively. and , which are the mean values ​​of the coupled aging feature values ​​of all local time periods in the s-th and s-1-th equipment aging tests, respectively, and max() is the maximum value.

[0015] Preferably, the assessment result of the coupled aging risk in the first equipment aging test is set to 0.

[0016] Preferably, upper and lower thresholds are preset for the assessment results of coupling aging risk, and aging detection is performed on the power communication power supply equipment based on the relationship between the assessment results of coupling aging risk and the upper and lower thresholds.

[0017] Preferably, if the assessment result of the coupled aging risk is less than or equal to the preset lower threshold, the power communication power supply equipment is in the early stage of aging; if the assessment result of the coupled aging risk is greater than the preset lower threshold and less than or equal to the preset upper threshold, the power communication power supply equipment is in the middle stage of aging; if the assessment result of the coupled aging risk is greater than the preset upper threshold, the power communication power supply equipment is in the late stage of aging.

[0018] This application has at least the following beneficial effects:

[0019] First, this application fully considers the problem of ripple characteristic deterioration due to aging of power communication power supply equipment. It combines abnormal fluctuations in the electrical parameter time series with the ripple characteristics within the electrical parameter time series to more accurately assess the ripple deterioration characteristics of the rectifier module output circuit inside the power communication power supply equipment. This facilitates more effective subsequent capture of the coupled aging characteristics of abnormal electrical parameters and heat dissipation attenuation. Furthermore, considering the electrothermal coupling aging characteristics in the aging detection of power communication power supply equipment, this application, based on the assessment results of circuit ripple deterioration and combined with the overheating risk characteristics of the MOSFET devices inside the power communication power supply equipment in each local time period, accurately measures the electrothermal coupling aging characteristics in the power communication power supply equipment, more clearly reflecting the coupled aging characteristics of abnormal electrical parameters and heat dissipation attenuation. Based on the electrothermal coupling aging characteristics in the power communication power supply equipment, and simultaneously considering the increasing changes in the degree of coupled aging, this application accurately assesses the coupled aging risk within the power communication power supply equipment, thereby more accurately determining the aging stage of the power communication power supply equipment and more accurately assessing the replacement timing of aging power communication power supply equipment. Attached Figure Description

[0020] Figure 1 A flowchart illustrating the steps of the aging test method for power communication equipment with combined electrical parameters and temperature monitoring provided in this application. Detailed Implementation

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of the aging detection method for power communication equipment based on combined electrical parameters and temperature monitoring provided in this application.

[0022] This application provides an embodiment of an aging detection method for power communication equipment that combines electrical parameter and temperature monitoring. For details, please refer to [link to relevant documentation]. Figure 1 This includes the following steps:

[0023] Step 1: Utilize the non-stationary variation characteristics of various electrical parameter data in different local time periods during the aging test of power communication power supply equipment to extract ripple characteristic coefficients. The electrical parameters include the output current and output voltage of the internal rectifier module of the power communication power supply.

[0024] To ensure the communication performance of power communication equipment in the power system, multiple electrical parameters of the power communication power supply and the operating temperature of the MOSFET devices inside the power communication power supply are collected during the operation of the power communication equipment. Specifically, voltage and current sensors are used to collect the output current and output voltage of the rectifier module inside the power communication power supply at a sampling rate of 1kHz, while thermocouple temperature sensors are used to collect the operating temperature of the MOSFET devices inside the power communication power supply at a sampling rate of 10Hz.

[0025] To ensure effective analysis of the aging characteristics of power communication equipment, the data acquisition time for each equipment aging test is pre-set to 1 hour, and the time interval between two adjacent equipment aging tests is one day. This yields time-series data of various electrical parameters and operating temperature for each equipment aging test. The electrical parameter data includes output current and output voltage.

[0026] Currently, traditional aging detection methods for power communication equipment generally rely on aging characteristic indicators as the core judgment basis. These methods struggle to effectively capture the coupled aging characteristics of abnormal electrical parameters and heat dissipation degradation, making it difficult to accurately determine whether power communication equipment exhibits aging issues. Therefore, it is necessary to analyze the coupled aging characteristics during the operation of power communication equipment to more accurately determine whether aging problems exist.

[0027] Generally, if power communication power supply equipment undergoes aging after long-term operation, the ripple voltage amplitude and complexity in the output current and voltage of the internal rectifier module will increase, affecting the rectification effect of the power communication power supply equipment on the AC input. Therefore, for each equipment aging test, in order to analyze the short-time ripple characteristics in the output current and voltage of the internal rectifier module, this embodiment presets the duration of each local time period to 0.1s. The implementer can also set this duration themselves. Simultaneously, this embodiment ensures that the number of local time periods in each equipment aging test is the same as the number of time-series data points of the operating temperature of the MOSFET devices inside the power communication power supply. This facilitates the subsequent effective capture of the coupled aging characteristics of abnormal electrical parameters and heat dissipation degradation, thereby forming a time-series sequence of various electrical parameters for each local time period based on the time-series data of various electrical parameters during the aging test. Specifically, in this embodiment, the various electrical parameter data within each local time period are arranged in chronological order to obtain the time-series sequence of various electrical parameters for each local time period.

[0028] Because the output current and output voltage of the internal rectifier module contain non-stationary ripple components, in order to more accurately extract the non-stationary ripple components in the time series of various electrical parameters, for each local time period of the time series of various electrical parameters, the absolute difference between each electrical parameter data in the time series of various electrical parameters and the mean value of the data of various electrical parameters in all local time periods is calculated. This value characterizes the non-stationary change characteristics of various electrical parameter data and is used to reflect the absolute magnitude of the ripple component at each electrical parameter data position in the time series of various electrical parameters.

[0029] Furthermore, the ratio of the absolute difference to the average value is used as the ripple characteristic coefficient for each electrical parameter data in the time series of various electrical parameters. This reflects the relative magnitude of the ripple component at each electrical parameter data position in the time series of various electrical parameters, and can more clearly demonstrate the ripple characteristics at different electrical parameter data positions in the time series of electrical parameters. It should be noted that, to avoid the error of the denominator being zero during the ratio calculation, a very small positive number is added to the denominator to prevent division by zero. The value range is 0.001-0.01, and in this embodiment, the value is 0.01.

[0030] Step 2: Analyze the average level of the ripple characteristic coefficients corresponding to each type of electrical parameter data and the abnormal fluctuations of each type of electrical parameter data to obtain the assessment results of circuit ripple deterioration. Calculate the overheating risk coefficient by analyzing the operating temperature fluctuations of the MOSFET devices inside the power communication power supply to characterize the heat dissipation of the MOSFET devices. Combine the assessment results of circuit ripple deterioration to obtain the coupling aging characteristic value.

[0031] Generally, the deterioration of circuit ripple characteristics due to equipment aging in power communication equipment will cause abnormal fluctuations in the electrical parameter time series, and will also increase the ripple characteristic coefficient at different locations of the electrical parameter data in the time series. Therefore, based on the above analysis, the evaluation results of circuit ripple deterioration in each local time period during the aging detection process are calculated:

[0032] In the formula, This represents the evaluation result of circuit ripple degradation during the t-th local time period. In this embodiment, the number of electrical parameter types is [number]. The value is 2. It is an exponential function with the natural constant as its base. Let be the mean of the ripple characteristic coefficients of all electrical parameter data of type j in the time series of the t-th local time period, used to characterize the average level of the ripple characteristic coefficients corresponding to each type of electrical parameter data. Let be the standard deviation of all elements in the first-order difference sequence of the time series sequence of the j-th type of electrical parameter in the t-th local time period, which is used to characterize the abnormal fluctuation of each type of electrical parameter data.

[0033] In the above formula, based on the mean of the relative values ​​of all ripple components in the time series of various electrical parameters, an exponential function is used to amplify and map the mean of the relative values ​​of all ripple components, making the ripple characteristics in the time series of electrical parameters more prominent. Combined with the statistical method of standard deviation, abnormal fluctuations in the time series of electrical parameters are analyzed, thereby measuring the ripple degradation characteristics of the rectifier module output circuit in the power communication power supply equipment.

[0034] Among them, the evaluation results of circuit ripple degradation reflect the ripple degradation characteristics of the output circuit of the rectifier module inside the power communication power supply equipment. The more serious the aging problem of the power communication power supply equipment, the greater the evaluation result of circuit ripple degradation, which will greatly affect the rectification effect of the power communication power supply equipment on AC input and cannot effectively guarantee the reliability of power communication equipment in the power system.

[0035] Furthermore, in order to fully and effectively capture the coupled aging characteristics of abnormal electrical parameters and heat dissipation degradation, the operating temperature of the MOSFET devices inside the power communication power supply equipment in each local time period, as well as the minimum operating temperature of the MOSFET devices inside the power communication power supply equipment in all local time periods, are obtained. The difference between the operating temperature and the minimum operating temperature of the MOSFET devices in each local time period is calculated. The ratio of this difference to the minimum operating temperature is used as the overheating risk coefficient for each local time period, which is used to characterize the heat dissipation of the MOSFET devices inside the power communication power supply. The temperature units of the operating temperature and the minimum operating temperature are converted to Kelvin to maintain dimensional consistency. The more severe the aging problem of the heat dissipation components inside the power communication power supply equipment, the worse the heat dissipation performance of the MOSFET devices inside the power communication power supply equipment, and the greater the overheating risk coefficient, which makes the power communication power supply equipment have a greater heat dissipation safety hazard.

[0036] MOSFET devices, as power switching devices in the internal rectifier modules of power communication power supply equipment, will experience increased total losses and higher operating temperatures if the equipment ages and circuit ripple deteriorates. This further accelerates the aging process. Therefore, electrothermal coupling aging is a characteristic observed in the aging detection of power communication power supply equipment. To capture the coupled aging characteristics of abnormal electrical parameters and heat dissipation degradation, the product of the overheating risk coefficient and the assessment result of circuit ripple deterioration for each local time period is used as the coupled aging characteristic value for that period. This reflects the electrothermal coupling aging characteristics in the power communication power supply equipment. The higher the degree of abnormal electrical parameters and the more severe the heat dissipation degradation, the more significant the electrothermal coupling aging characteristics are, resulting in a larger coupled aging characteristic value, which will seriously affect the rectification effect of the power communication power supply equipment on AC input.

[0037] Step 3: By analyzing the difference between the average levels of coupled aging characteristic values ​​during two adjacent equipment aging tests, the assessment results of coupled aging risk in each equipment aging test are obtained.

[0038] Since the aging of power communication equipment is an irreversible and gradual cumulative process, and the aging process of power communication equipment is a non-linear aging process, the closer the power communication equipment is to the late stage of aging, the more drastic the increase and change of the degree of coupled aging, and the higher the average level of coupled aging characteristic value. It is necessary to replace aging power communication equipment that poses a safety risk in a timely manner.

[0039] Therefore, in order to more accurately determine whether power communication equipment has aging issues, the assessment results of coupled aging risk in each equipment aging test are calculated:

[0040] In the formula, and These are the assessment results of coupled aging risk in the s-th and s-1-th equipment aging tests, respectively, with max() representing the maximum value. and These are the mean values ​​of the coupled aging characteristic values ​​for all local time periods in the s-th and s-1-th equipment aging tests, respectively. This is used to assess the difference between the average levels of coupled aging characteristics during two consecutive equipment aging tests. Specifically, for the first equipment aging test, since there is almost no coupled aging risk in the early stages of aging of power communication power supply equipment, the assessment result of coupled aging risk in the first equipment aging test is set to 0.

[0041] The above formula is based on the mean value of the coupled aging feature value in each equipment aging test. It uses an exponential function to amplify and map the mean value of the coupled aging feature value, which more clearly reflects the average level of the coupled aging feature in different equipment aging tests. Then, it uses a ratio to determine the dramatic increase and change of the coupled aging degree of power communication power supply equipment, and performs gain compensation on the coefficient of the mean value of the coupled aging feature to realize the evaluation of the coupled aging feature in each equipment aging test.

[0042] Understandably, the assessment results of coupled aging risk reflect the degree of risk of electrothermal coupled aging during the aging process of power communication power supply equipment. If the increase and change of the degree of coupled aging of power communication power supply equipment is more drastic and the average level of coupled aging characteristic value is higher, it indicates that the degree of aging of power communication power supply equipment is closer to the late stage of equipment aging, and the degree of risk of electrothermal coupled aging is higher. It is necessary to replace the aging power communication power supply equipment with safety risks in a timely manner.

[0043] Step 4: Determine the aging stage of the power communication power supply equipment based on the assessment results of the coupled aging risk, and then realize the aging detection of the power communication power supply equipment.

[0044] To more accurately determine whether power communication equipment has aging issues and to replace aging power communication power supply equipment in a timely manner, the aging stage of power communication power supply equipment is determined based on the assessment results of coupled aging risk, and upper and lower limit thresholds for the assessment results of coupled aging risk are preset.

[0045] Preferably, in this embodiment, an offline full life cycle test database of the same specification benchmark as the currently tested device is obtained, and the assessment results of coupled aging risk in all sub-device aging tests in the offline database are extracted. Then, the upper quartile and lower quartile of the above assessment results are statistically analyzed as the upper and lower limit thresholds of the assessment results of coupled aging risk in the current device testing process, which respectively characterize the boundary values ​​of different aging stages in the aging test process.

[0046] Furthermore, based on the upper and lower quartiles of the coupled aging risk assessment results during historical aging tests, it is determined whether the power communication equipment has an aging problem. Specifically, if the coupled aging risk assessment result in the current aging test of the power communication power supply equipment is less than or equal to the lower quartile of the coupled aging risk assessment result, the power communication power supply equipment is in the early stage of aging, the power communication power supply equipment is operating normally, and there is no need to replace the aging power communication power supply equipment; if the coupled aging risk assessment result in the current aging test of the power communication power supply equipment is greater than the lower quartile of the coupled aging risk assessment result, but less than or equal to the upper quartile of the coupled aging risk assessment result, the power communication power supply equipment is in the middle stage of aging, the operation of the power communication power supply equipment is less affected by the equipment aging, and the power communication power supply equipment can continue to be used without replacement; if the coupled aging risk assessment result in the current aging test of the power communication power supply equipment is greater than the upper quartile of the coupled aging risk assessment result, the power communication power supply equipment is in the late stage of aging, the operation of the power communication power supply equipment is greatly affected by the equipment aging, and the aging power communication power supply equipment needs to be replaced as soon as possible.

[0047] Thus, based on the above process in this embodiment, aging detection of power communication equipment with combined electrical parameter and temperature monitoring can be achieved.

[0048] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for aging detection of power communication equipment based on combined electrical parameter and temperature monitoring, characterized in that, Includes the following steps: By utilizing the non-stationary variation characteristics of various electrical parameter data in different local time periods during the aging test of power communication power supply equipment, ripple characteristic coefficients are extracted. The electrical parameters include the output current and output voltage of the rectifier module inside the power communication power supply. The average level of the ripple characteristic coefficients corresponding to each type of electrical parameter data and the abnormal fluctuation of each type of electrical parameter data are analyzed to obtain the assessment results of circuit ripple deterioration. The overheating risk coefficient is calculated by the operating temperature fluctuation of the MOSFET devices inside the power communication power supply. Combined with the assessment results of circuit ripple deterioration, the coupling aging characteristic value is obtained. By analyzing the difference between the average levels of coupled aging characteristic values ​​during two adjacent equipment aging tests, the assessment result of coupled aging risk in each equipment aging test is obtained; based on the assessment result of coupled aging risk, the aging stage of the power communication power supply equipment is determined, thereby realizing the aging test of the power communication power supply equipment.

2. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 1, characterized in that, The time-series data of various electrical parameters in each local time period during the aging test are used to form the time-series sequence of various electrical parameters in each local time period. The absolute difference between each electrical parameter data in the time-series sequence and the mean of the data of various electrical parameters in all local time periods is calculated.

3. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 2, characterized in that, Calculate the average value of the absolute value of each type of electrical parameter data over all local time periods, and use the ratio of the absolute difference to the average value as the ripple characteristic coefficient of each electrical parameter data in the time series of each type of electrical parameter.

4. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 1, characterized in that, The process for obtaining the evaluation results of the circuit ripple degradation is as follows: In the formula, This represents the evaluation result of circuit ripple degradation during the t-th local time period. For the number of electrical parameter types, It is an exponential function with the natural constant as its base. Let be the mean of the ripple characteristic coefficients of all electrical parameter data of type j in the time series of the t-th local time period. Let be the standard deviation of all elements in the first-order difference sequence of the time series sequence of the j-th type of electrical parameters in the t-th local time period.

5. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 1, characterized in that, The operating temperature of the MOSFET device inside the power communication power supply is obtained. The difference between the operating temperature of the MOSFET device in each local time period and the minimum operating temperature of the MOSFET device in all local time periods is calculated. The ratio of this difference to the minimum operating temperature is used as the overheating risk coefficient for each local time period.

6. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 1, characterized in that, The product of the overheating risk coefficient for each local time period and the assessment result of circuit ripple deterioration is denoted as the coupled aging characteristic value for each local time period.

7. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 1, characterized in that, The process for obtaining the assessment results of coupled aging risks in each equipment aging test is as follows: In the formula, and These are the assessment results of coupled aging risk in the s-th and s-1-th equipment aging tests, respectively. and , which are the mean values ​​of the coupled aging feature values ​​of all local time periods in the s-th and s-1-th equipment aging tests, respectively, and max() is the maximum value.

8. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 7, characterized in that, The assessment result of the coupled aging risk in the first equipment aging test was set to 0.

9. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 1, characterized in that, The upper and lower thresholds of the assessment results of coupling aging risk are preset, and the aging test of power communication power supply equipment is carried out based on the relationship between the assessment results of coupling aging risk and the upper and lower thresholds.

10. The aging detection method for power communication equipment based on combined electrical parameter and temperature monitoring as described in claim 9, characterized in that, If the assessment result of the coupling aging risk is less than or equal to the preset lower threshold, the power communication power supply equipment is in the early stage of aging. If the assessment result of the coupled aging risk is greater than the preset lower threshold and less than or equal to the preset upper threshold, then the power communication power supply equipment is in the middle of aging. If the assessment result of the coupling aging risk is greater than the preset upper limit threshold, the power communication power supply equipment is in the late stage of aging.

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