Reliability test method, device and computer-readable storage medium

Abstract

The present disclosure provides a reliability testing method, apparatus, and computer-readable storage medium, relating to the field of hydraulic technology. The method comprises: obtaining actual lifespans of a plurality of hydraulic components corresponding to target failure modes; determining shape parameter values of a Weibull distribution obeyed by the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespans of each hydraulic component; determining a target time required for reliability verification of the target lifespans of the plurality of improved hydraulic components based on the shape parameter values and preset verification parameters, wherein the verification parameters include a confidence level and a sample size; determining whether the target failure mode occurs in each test sample when the time for performing reliability testing using the sample number of improved hydraulic components as test samples reaches the target time; and determining whether the target failure mode occurs in each test sample when the target failure mode does not occur in each test sample, determining that the plurality of improved hydraulic components can reach the target lifespan under the confidence level.

Description

Technical Field

[0001] The present disclosure relates to the field of hydraulic technology, and in particular to a reliability testing method, device, and computer-readable storage medium. Background Art

[0002] Hydraulic components are widely used in aerospace, transportation, shipbuilding, engineering machinery and other fields. Their reliability affects the normal operation of the entire hydraulic system. Therefore, reliability verification of hydraulic components is of great significance.

[0003] In the related art, reliability tests of hydraulic components are usually carried out according to the reliability test methods in relevant standards (such as GB / T35023-2018 standard) to verify whether the hydraulic components can meet the predetermined reliability requirements. Summary of the Invention

[0004] The inventors have noticed that after improving a hydraulic component that exhibits a certain failure mode, it is also necessary to conduct a reliability test on the improved hydraulic component to verify its reliability. However, the method in the related art cannot verify the reliability of the improved hydraulic component.

[0005] After analysis, the inventors found that under the method in the related art, as long as the number of failures of the hydraulic component undergoing reliability test within the set test time is less than the preset threshold, it can be determined that the hydraulic component has passed the reliability test.

[0006] However, since the hydraulic component before the improvement had already passed the reliability test, if the reliability verification of the improved hydraulic component were to continue using this method, the number of failures of the improved hydraulic component during the test time would inevitably be less than the threshold, meaning that the improved hydraulic component would definitely pass the reliability test. Therefore, the reliability test method used in the related art cannot verify the reliability of the improved hydraulic component.

[0007] In order to solve the above problems, the embodiments of the present disclosure propose the following solutions.

[0008] According to one aspect of an embodiment of the present disclosure, a reliability testing method is provided, comprising: obtaining actual lifespans corresponding to target failure modes of a plurality of hydraulic components; determining shape parameter values of a Weibull distribution obeyed by the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component; determining a target time required for reliability verification of the target lifespans of the plurality of improved hydraulic components based on the shape parameter values and preset verification parameters, the verification parameters comprising a confidence level and a number of samples; determining whether the target failure mode occurs in each test sample when the time for performing a reliability test using the improved hydraulic components of the sample number as test samples reaches the target time; and determining whether the target failure mode occurs in each test sample when the target failure mode does not occur in each test sample, determining that the plurality of improved hydraulic components can reach the target lifespan under the confidence level.

[0009] In some embodiments, determining the shape parameter values of the Weibull distribution obeyed by the actual lifespans of the multiple hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component includes: determining the cumulative failure probability corresponding to the actual lifespan of each hydraulic component using a rank regression analysis method; performing data fitting on the actual lifespans of the multiple hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component based on a first Weibull distribution function to obtain Weibull parameter values of the first Weibull distribution function, wherein the Weibull parameter values include the shape parameter values.

[0010] In some embodiments, performing data fitting on the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component based on a first Weibull distribution function to obtain a Weibull parameter value of the first Weibull distribution function includes: performing a double logarithmic transformation on the first Weibull distribution function to obtain a second Weibull distribution function; performing data fitting on the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component based on the second Weibull distribution function to obtain the Weibull parameter value.

[0011] In some embodiments, using a rank regression analysis method to determine the cumulative failure probability corresponding to the actual life of each hydraulic component includes: sorting the actual lives of the multiple hydraulic components in ascending order; and determining the cumulative failure probability corresponding to the actual life of the hydraulic component based on the Bernard approximation equation and the rank of the actual life of each hydraulic component in the sorting.

[0012] In some embodiments, the Weibull parameter value further includes a first characteristic life value of the plurality of hydraulic components before improvement.

[0013] In some embodiments, the target time is negatively correlated with the shape parameter value and the sample size, and positively correlated with the confidence level.

[0014] In some embodiments, the verification parameter further includes a target failure probability, and the target time is negatively correlated with the target failure probability.

[0015] In some embodiments, the shape parameter value is β, the sample size is k, the confidence level is C, the target lifespan is T, the target failure probability is i, and the target time is Wherein, k is a positive integer, β>0, T>0, 0<i<1, 0<C<1.

[0016] In some embodiments, the verification parameter also includes a target failure probability, the target time is negatively correlated with the target failure probability, and the method also includes: determining the second characteristic life value of the improved multiple hydraulic components based on the shape parameter value, the target failure probability and the target life.

[0017] In some embodiments, the second characteristic life value is negatively correlated with the target failure probability and positively correlated with the shape parameter value and the target life.

[0018] In some embodiments, the shape parameter value is β, the target failure probability is i, the target life is T, and the second characteristic life value is β>0, T>0, 0<i<1.

[0019] According to another aspect of an embodiment of the present disclosure, a reliability testing device is provided, comprising: an acquisition module configured to acquire actual lifespans of a plurality of hydraulic components corresponding to a target failure mode; a first determination module configured to determine a shape parameter value of a Weibull distribution obeyed by the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component; and, based on the shape parameter value and preset verification parameters, determining a target time required for reliability verification of the target lifespans of the plurality of improved hydraulic components, the verification parameters comprising a confidence level and a number of samples; a judgment module configured to judge whether the target failure mode occurs in each test sample when the time for performing a reliability test using the improved hydraulic components with the sample number as test samples reaches the target time; and a second determination module configured to determine, when the target failure mode does not occur in each test sample, that the plurality of improved hydraulic components can reach the target lifespan under the confidence level.

[0020] According to another aspect of an embodiment of the present disclosure, a reliability testing device is provided, including: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the method described in any one of the above embodiments based on instructions stored in the memory.

[0021] According to another aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, comprising computer program instructions, wherein when the computer program instructions are executed by a processor, the method described in any one of the above embodiments is implemented.

[0022] According to another aspect of the embodiments of the present disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the method described in any one of the above embodiments is implemented.

[0023] In the disclosed embodiment, by determining the shape parameter values of the Weibull distribution obeyed by the actual lifespans of multiple hydraulic components corresponding to the target failure mode and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component, the target time required for reliability verification of the target lifespans of the multiple improved hydraulic components can be automatically determined based on the shape parameter values and preset verification parameters. Then, when the time for reliability testing of the sample number of improved hydraulic components as test samples reaches the target time, if the target failure mode does not occur in each test sample, it can be automatically determined that the multiple improved hydraulic components can achieve the target lifespan at the confidence level. In this way, reliability verification with a high degree of confidence can be achieved for the improved hydraulic components.

[0024] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and examples. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] Figure 1 is a flow chart of a reliability test method according to some embodiments of the present disclosure;

[0027] Figure 2 is a structural schematic diagram of a hydraulic system according to some embodiments of the present disclosure;

[0028] Figure 3 is a schematic structural diagram of a reliability testing device according to some embodiments of the present disclosure;

[0029] Figure 4 It is a structural schematic diagram of a reliability testing device according to other embodiments of the present disclosure. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0031] Unless specifically stated otherwise, the relative arrangement of components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure.

[0032] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0033] Technologies, methods and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, such technologies, methods and equipment should be considered part of the authorization specification.

[0034] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0035] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0036] Figure 1 It is a flowchart of a reliability test method according to some embodiments of the present disclosure.

[0037] In step 102 , actual lifespans of a plurality of hydraulic components corresponding to target failure modes are obtained.

[0038] In some embodiments, the plurality of hydraulic components may be of the same batch and type. Here, "of the same batch and type" means that the plurality of hydraulic components have the same structure, model, manufacturing process, and assembly process. For example, the plurality of hydraulic components may be a plurality of A7V series hydraulic pumps.

[0039] In some embodiments, a corresponding sensor can be installed for each hydraulic component of the same type in the hydraulic system to monitor the operating conditions of the hydraulic component. If the sensor data (e.g., operating speed) indicates that the hydraulic component has experienced a target failure mode, the actual operating time of the hydraulic component before the target failure mode occurred can be determined using a timer in the hydraulic system, i.e., the actual lifespan of the hydraulic component.

[0040] In step 104 , the actual lifespans of the plurality of hydraulic components and the shape parameter value of the Weibull distribution to which the cumulative failure probability corresponding to the actual lifespan of each hydraulic component conforms are determined.

[0041] In some embodiments, data fitting can be performed on the actual lifespans of multiple hydraulic components and the cumulative failure probabilities corresponding to the actual lifespans of each hydraulic component to obtain shape parameter values of the Weibull distribution to which the actual lifespans of multiple hydraulic components and the cumulative failure probabilities corresponding to the actual lifespans of each hydraulic component obey.

[0042] Step 104 will be further described below in conjunction with some embodiments.

[0043] It should be noted that the methods used in related art are based on the assumption that the lifespan of hydraulic components follows an exponential distribution. However, the inventors have discovered that the lifespan of hydraulic components actually follows a Weibull distribution. Only in the event of a hydraulic component's accidental failure does its lifespan follow an exponential distribution. Therefore, compared to the methods used in related art, reliability testing based on the assumption that the lifespan of hydraulic components follows a Weibull distribution yields results with higher credibility.

[0044] In step 106 , a target time required for reliability verification of the target lifespan of the improved plurality of hydraulic components is determined based on the shape parameter values and preset verification parameters.

[0045] Here, the preset verification parameters include confidence and sample size. In some implementations, the preset verification parameters may also include other parameters. The following will describe the case where the verification parameters also include other parameters in conjunction with some embodiments.

[0046] In some embodiments, the number of samples is multiple, for example, 2 or 3, or more.

[0047] In some embodiments, the target time is negatively correlated with the shape parameter value and the number of samples, and positively correlated with the confidence level.

[0048] It should be understood that the target life refers to the normal operating time of the improved hydraulic component before the target failure mode re-occurs.

[0049] Step 106 will be further described below in conjunction with some embodiments.

[0050] In step 108 , when the time for performing reliability tests on the improved hydraulic components as test samples reaches the target time, it is determined whether the target failure mode occurs in each test sample.

[0051] In some embodiments, the number of samples may be less than the total number of the modified plurality of hydraulic components.

[0052] In step 110 , when the target failure mode does not occur in each test sample, it is determined that the improved plurality of hydraulic components can reach the target life with confidence.

[0053] It should be understood that for the improved hydraulic component, the reliability test needs to verify whether the component will re-occur in the target failure mode within normal working hours, that is, whether the expected target life can be achieved.

[0054] It should also be understood that in the reliability test method provided in the embodiment of the present disclosure, if each test sample subjected to the reliability test passes the reliability test, then it can be determined that the improved multiple hydraulic components can reach the desired target life, that is, it can be determined that the improved multiple hydraulic components can meet the predetermined reliability requirements.

[0055] For example, if the confidence level is 0.9 and the target lifespan is 1000 hours, if the reliability test duration for each test sample reaches the target time and none of the test samples exhibit the target failure mode, then it can be determined that all test samples have passed the reliability test. Furthermore, it can be determined that the improved hydraulic components can achieve the target lifespan of 1000 hours at a confidence level of 0.9, meaning that the improved hydraulic components can operate normally for 1000 hours before exhibiting the target failure mode again.

[0056] In some embodiments, the result determined after executing the judgment in step 108 can be output. For example, if the target failure mode does not occur in each test sample, the result "the improved multiple hydraulic components can achieve the target life of 1000 hours at a confidence level of 0.9" can be output to the display interface. For another example, if the target failure mode occurs in at least one test sample, the result "the improved multiple hydraulic components cannot achieve the target life of 1000 hours at a confidence level of 0.9" can be output to the display interface.

[0057] In the above embodiment, by determining the shape parameter values of the Weibull distribution that follows the actual lifespans of multiple hydraulic components corresponding to the target failure mode and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component, the target time required for reliability verification of the target lifespans of the multiple improved hydraulic components can be automatically determined based on the shape parameter values and preset verification parameters. Then, if the reliability test time for a preset number of improved hydraulic components as test samples reaches the target time, and if none of the test samples exhibit the target failure mode, it can be automatically determined that the multiple improved hydraulic components will achieve the target lifespan at a certain confidence level. In this way, a highly reliable reliability verification can be achieved for the improved hydraulic components.

[0058] The following is a summary of some examples Figure 1 The reliability test method shown is further explained.

[0059] In some embodiments, the shape parameter value may be determined as follows.

[0060] First, a rank regression analysis method can be used to determine the cumulative failure probability corresponding to the actual life of each hydraulic component. Then, based on the first Weibull distribution function, a data fit can be performed on the actual lifespans of multiple hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component to obtain the Weibull parameter value of the first Weibull distribution function, where the Weibull parameter value includes the shape parameter value.

[0061] In some embodiments, the Weibull parameter value further includes a first characteristic life value of the plurality of hydraulic components before improvement.

[0062] It should be understood that the first characteristic lifespan value can represent the time it takes for 63.2% of the hydraulic components before the improvement to fail. Assuming there are 1000 hydraulic pumps before the improvement, and the corresponding first characteristic lifespan value is 1050 hours, it can be determined that the time it takes for 63.2% of these 1000 hydraulic pumps to fail is 1050 hours. In other words, after 1050 hours of normal operation of these 1000 hydraulic pumps, 632 of them will fail.

[0063] As some implementations, the cumulative failure probability corresponding to the actual life of each hydraulic component may be determined according to the following steps.

[0064] First, the actual lifespans of the plurality of hydraulic components may be sorted in ascending order.

[0065] Then, based on the Bernard approximation equation and the rank of the actual life of each hydraulic component in the ranking, the cumulative failure probability corresponding to the actual life of the hydraulic component can be determined.

[0066] The Bernard approximation equation is In the embodiment of the present disclosure, j is the rank of the actual life of each hydraulic component in the ranking, k is the number of test samples for reliability testing, r is the cumulative failure probability corresponding to the actual life of the hydraulic component ranked j, j and k are both positive integers, 0<r<1.

[0067] Take the actual service life of five proportional directional control valves as an example. Assume that the actual service life of these five proportional directional control valves is 204 hours, 401 hours, 746 hours, 1619 hours and 973 hours respectively.

[0068] The actual lifespans of the five proportional directional valves are sorted in ascending order, and the results are: 204 hours, 401 hours, 746 hours, 973 hours and 1619 hours.

[0069] For example, the actual lifespan of the fifth proportional reversing valve is 973 hours, which ranks 4th in the above ranking. Assuming a sample size of 3, based on the Bernard approximation equation and this ranking, we can obtain the cumulative failure probability r = 0.794 for the actual lifespan of this proportional reversing valve.

[0070] As some implementations, the Weibull parameter value may be determined according to the following steps.

[0071] First, a double logarithmic transformation may be performed on the first Weibull distribution function to obtain a second Weibull distribution function.

[0072] Then, data fitting may be performed on the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component based on the second Weibull distribution function to obtain a Weibull parameter value.

[0073] The first Weibull distribution function is For example, performing a double logarithmic transformation on the first Weibull distribution function can yield the second Weibull distribution function: The actual life of each hydraulic component is taken as x, the cumulative failure probability corresponding to the actual life of the hydraulic component is taken as F(x), and data fitting is performed based on the second Weibull distribution function to obtain the Weibull parameter value. It should be understood that the Weibull parameter value can include the shape parameter value and the first characteristic life value.

[0074] Taking the actual lifespan of the five proportional directional valves as an example, a data fit based on the second Weibull distribution function and the corresponding cumulative failure probability for each proportional directional valve yields a shape parameter value of β = 2.25 and a first characteristic lifespan value η1 = 1074 hours. This means that 63.2% of the hydraulic components before the improvement failed within 1074 hours.

[0075] In some embodiments, the preset verification parameters may further include a target failure probability. The target time may be negatively correlated with the target failure probability.

[0076] In some embodiments, the target time may be determined as follows.

[0077] Assuming the shape parameter value is β, the sample size is k, the confidence level is C, the target life is T, and the target failure probability is i, the target time t can be calculated according to the following formula:

[0078]

[0079] Wherein, k is a positive integer, β>0, T>0, 0<i<1, 0<C<1.

[0080] For example, k=3, β=2.25, C=0.7, T=500, i=0.1, and calculation based on formula (1) can obtain the target time t=906 hours required for reliability verification using 3 test samples.

[0081] It should be noted that, given the same sample size, confidence level, and other related parameters, the test time (i.e., target time) required for the reliability test method provided by the embodiments of the present disclosure is only 2 / 3 to 3 / 5 of the test time required in the related art. Furthermore, if the required test time in the related art is shortened to the target time in the embodiments of the present disclosure, a larger number of samples will be required for the reliability test.

[0082] Thus, even if the reliability test method in the related art is used for reliability verification, the test time (ie, target time) required by the reliability test method provided by the embodiment of the present disclosure is shorter or the number of samples is smaller than that required in the related art.

[0083] In some embodiments, second characteristic life values of the improved plurality of hydraulic components may be determined based on the shape parameter values, the target failure probability, and the target life.

[0084] It should be understood that the second characteristic life value may represent the time at which 63.2% of the improved plurality of hydraulic components fail.

[0085] In some embodiments, the second characteristic life value may be negatively correlated with the target failure probability and positively correlated with the shape parameter value and the target life.

[0086] In some embodiments, assuming that the shape parameter value is β, the target failure probability is i, and the target life is T, the second characteristic life value η2 can be calculated according to the following formula:

[0087]

[0088] Among them, β>0, T>0, 0<i<1.

[0089] Taking the actual lifespan of the five proportional directional control valves mentioned above as an example, data fitting yields a shape parameter value of β = 2.25. Assuming T = 500 and i = 0.1, formula (2) yields a second characteristic lifespan value of η2 = 1359 hours. Since the second characteristic lifespan value η2 is greater than the first characteristic lifespan value η1, this indicates that the improved characteristic lifespan of these proportional directional control valves has been improved.

[0090] Next, combine Figure 2 The hydraulic system shown further illustrates the reliability test method provided by the embodiment of the present disclosure.

[0091] Figure 2 is a structural schematic diagram of a hydraulic system according to some embodiments of the present disclosure.

[0092] like Figure 2 As shown, the hydraulic system includes: an oil tank 1, an oil suction filter 2, a stop valve 3, an engine 4, a hydraulic pump 5, a pressure measuring joint 6, a high-pressure filter 7, a one-way valve 8, a proportional reversing valve 9, a speed regulating valve 10, a hydraulically controlled one-way valve 11, a hydraulic cylinder 12, a relief valve 13 and an oil return filter 14.

[0093] For example, the hydraulic components mentioned in the embodiment of the present disclosure may be a stop valve 3, a hydraulic pump 5, a one-way valve 8, a proportional reversing valve 9, a speed control valve 10, a hydraulically controlled one-way valve 11, a hydraulic cylinder 12 or a relief valve 13.

[0094] In addition, the hydraulic system also includes sensors for monitoring relevant parameters of the above-mentioned hydraulic components, including: acceleration sensors A1-A4, temperature sensors T1-T3, light resistance sensors G1-G4, pressure sensors P1-P9, S1 displacement sensor, D1 swing angle sensor and R1 speed sensor.

[0095] For example, the housing of the hydraulic pump 5 may be equipped with an axial acceleration sensor A1, a radial acceleration sensor A2, and a temperature sensor T1. Axial acceleration sensors A1 and A2 can be used to monitor mechanical vibration signals caused by friction pair wear, structural component fatigue cracks, bearing damage, etc. Temperature sensor T1 can be used to monitor signals indicating abnormally high pump housing temperature due to mechanical failure.

[0096] A pressure sensor P2 may be provided at the outlet of the hydraulic pump 5. The pressure sensor P2 may be used to monitor the oil pressure at the pump outlet and in the pipeline.

[0097] Temperature sensors T2 and T3 may be provided near and far from the oil suction port of the hydraulic pump 5, respectively. The temperature sensor T2 may be used to monitor the oil temperature at the oil suction port of the hydraulic pump 5. The temperature sensor T3 may be used to detect the oil temperature in the oil tank of the hydraulic pump 5.

[0098] A swing angle sensor D1 may be provided at the control mechanism of the hydraulic pump 5 , and a rotation speed sensor R1 may be provided on the engine 4 . Both the swing angle sensor D1 and the rotation speed sensor R1 may be used to monitor the outlet flow value of the hydraulic pump 5 .

[0099] A photoresistance sensor G1 may be provided at the inlet of the hydraulic pump 5. The photoresistance sensor G1 may be used to monitor contaminant particles in the oil.

[0100] For another example, a photoresistance sensor G2 may be provided at the valve inlet of the proportional reversing valve 9. The photoresistance sensor G2 may be used to monitor contaminant particles in the oil.

[0101] A pressure sensor P3 may be provided at the valve inlet of the proportional reversing valve 9, and pressure sensors P4 and P7 may be provided at the outlet of the proportional reversing valve 9. The pressure sensors P3, P4 and P7 may all be used to monitor changes in the oil pressure in the pipeline.

[0102] An acceleration sensor A3 may be provided on the housing of the proportional reversing valve 9. The acceleration sensor A3 may be used to monitor mechanical vibration signals caused by friction pair wear, structural component fatigue cracks, bearing damage, and the like.

[0103] For another example, a pressure sensor P5 and a photoresistance sensor G3 may be provided at the outlet of the speed regulating valve 10. The pressure sensor P5 may be used to monitor changes in the oil pressure in the pipeline, while the photoresistance sensor G3 may be used to monitor contaminant particles in the oil.

[0104] For example, a pressure sensor P6 and a pressure sensor P8 may be provided at the outlet of the hydraulically controlled one-way valve 11. The pressure sensor P6 and the pressure sensor P8 may be used to monitor changes in the oil pressure in the pipeline.

[0105] For another example, a displacement sensor S1 may be provided at the piston rod of the hydraulic cylinder 12. The displacement sensor S1 may be used to monitor displacement signals caused by leakage, stagnation, or powerlessness of the hydraulic cylinder.

[0106] A photoresistance sensor G4 may be provided at the rod cavity outlet of the hydraulic cylinder 12. The photoresistance sensor G4 may be used to monitor contaminant particles in the oil.

[0107] An acceleration sensor A4 may be provided on the cylinder body of the hydraulic cylinder 12. The acceleration sensor A4 may be used to monitor mechanical vibration signals.

[0108] In one possible scenario, if axial acceleration sensor A1 and radial acceleration sensor A2 detect mechanical vibration signals, a failure analysis of hydraulic pump 5 based on these mechanical vibration signals can determine that hydraulic pump 5 has entered the "abnormal wear" failure mode. In this case, the actual lifespan of hydraulic pump 5 can be determined to be 1017 hours based on a timer in the hydraulic system.

[0109] It should be understood that the actual life of each hydraulic pump of the same batch and type as the hydraulic pump 5 can be determined in the above manner.

[0110] After improvements (e.g., structural optimization) are performed on hydraulic pumps of the same batch and type as hydraulic pump 5, reliability verification of these improved hydraulic pumps is required. A predetermined number of improved hydraulic pumps can be used as test samples and reliability tests can be performed according to the reliability test method provided in the embodiments of the present disclosure to determine whether the improved hydraulic pumps meet the predetermined reliability requirements.

[0111] In another possible scenario, if acceleration sensor A3 detects a mechanical vibration signal, a failure analysis of proportional directional valve 9 based on this signal can determine that proportional directional valve 9 has entered the "spool wear" failure mode. In this case, the actual lifespan of proportional directional valve 9 can be determined to be 395 hours based on a timer in the hydraulic system.

[0112] It should be understood that the actual life of each proportional directional valve of the same batch and type as the proportional directional valve 9 can be determined in the above manner.

[0113] After improvements (e.g., structural optimization) have been made to proportional directional valves of the same batch and type as the proportional directional valve 9, reliability verification of these improved proportional directional valves is required. A predetermined number of improved proportional directional valves can be used as test samples and reliability tests can be performed according to the reliability test method provided in the embodiments of the present disclosure to determine whether the improved proportional directional valves meet predetermined reliability requirements.

[0114] Each embodiment in this specification is described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the device embodiments, since they are essentially identical to the method embodiments, their descriptions are relatively simple. For relevant parts, reference can be made to the descriptions of the method embodiments.

[0115] Figure 3 It is a structural schematic diagram of a reliability testing device according to some embodiments of the present disclosure.

[0116] like Figure 3As shown, the reliability testing device 300 includes an acquisition module 301 , a first determination module 302 , a judgment module 303 and a second determination module 304 .

[0117] The acquisition module 301 is configured to acquire actual lifespans of a plurality of hydraulic components corresponding to target failure modes.

[0118] The first determination module 302 is configured to determine the shape parameter value of the Weibull distribution obeyed by the actual life of multiple hydraulic components and the cumulative failure probability corresponding to the actual life of each hydraulic component; and determine the target time required for reliability verification of the target life of the improved multiple hydraulic components based on the shape parameter value and preset verification parameters, the verification parameters including confidence level and sample size.

[0119] The judgment module 303 is configured to determine whether the target failure mode occurs in each test sample when the reliability test time of the improved hydraulic component as the test sample reaches the target time.

[0120] The second determination module 304 is configured to determine, when none of the test samples exhibits the target failure mode, whether the improved plurality of hydraulic components can reach the target lifespan with confidence.

[0121] Figure 4 It is a structural schematic diagram of a reliability testing device according to other embodiments of the present disclosure.

[0122] like Figure 4 As shown, the reliability testing device 400 includes a memory 401 and a processor 402 coupled to the memory 401 . The processor 402 is configured to execute the method of any one of the aforementioned embodiments based on instructions stored in the memory 401 .

[0123] The memory 401 may include, for example, a system memory, a fixed non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, and other programs.

[0124] Reliability testing apparatus 400 may also include input / output interfaces 403, a network interface 404, a storage interface 405, and the like. These interfaces 403, 404, and 405, as well as the memory 401 and processor 402, may be connected via, for example, a bus 406. Input / output interfaces 403 provide connection interfaces for input / output devices such as a display, mouse, keyboard, and touch screen. Network interface 404 provides connection interfaces for various networked devices. Storage interface 405 provides connection interfaces for external storage devices such as SD cards and USB flash drives.

[0125] An embodiment of the present disclosure further provides a computer-readable storage medium, comprising computer program instructions, which implement the method of any one of the above embodiments when executed by a processor.

[0126] An embodiment of the present disclosure further provides a computer program product, including a computer program, wherein when the computer program is executed by a processor, the method of any one of the above embodiments is implemented.

[0127] Thus far, various embodiments of the present disclosure have been described in detail. To avoid obscuring the concept of the present disclosure, some details known in the art have not been described. Based on the above description, those skilled in the art can fully understand how to implement the technical solutions disclosed herein.

[0128] Those skilled in the art will appreciate that embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable non-transient storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0129] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate the functions for implementing the functions specified in the flowchart. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0130] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0132] Although some specific embodiments of the present disclosure have been described in detail through examples, those skilled in the art will understand that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. Those skilled in the art will understand that the above embodiments may be modified or some technical features may be replaced with equivalents without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A reliability test method comprising: Acquire actual lifespans of a plurality of hydraulic components corresponding to target failure modes, where the actual lifespan of each hydraulic component in the plurality of hydraulic components represents a working time of each hydraulic component before the target failure mode occurs; Determine a shape parameter value of a Weibull distribution obeyed by the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component; determining a target time required for reliability verification of a target life of each of the plurality of improved hydraulic components based on the shape parameter value and preset verification parameters, the verification parameters including a confidence level and a sample size, the target life of each improved hydraulic component representing an expected operating time of each improved hydraulic component before the target failure mode reoccurs; When the time for performing reliability tests on the improved hydraulic components of the sample quantity as test samples reaches the target time, determining whether the target failure mode occurs in each test sample; In a case where the target failure mode does not occur in each test sample, it is determined that each of the improved hydraulic components in the plurality of improved hydraulic components can reach the target life under the confidence level.

2. The method according to claim 1, wherein Determining the shape parameter values of the Weibull distribution obeyed by the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component includes: The rank regression analysis method is used to determine the cumulative failure probability corresponding to the actual life of each hydraulic component; Based on the first Weibull distribution function, data fitting is performed on the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component to obtain Weibull parameter values of the first Weibull distribution function, where the Weibull parameter values include the shape parameter value.

3. The method according to claim 2, wherein: Performing data fitting on the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component based on the first Weibull distribution function to obtain a Weibull parameter value of the first Weibull distribution function includes: Performing a double logarithmic transformation on the first Weibull distribution function to obtain a second Weibull distribution function; Based on the second Weibull distribution function, data fitting is performed on the actual lifespans of the plurality of hydraulic components and the cumulative failure probability corresponding to the actual lifespan of each hydraulic component to obtain the Weibull parameter value.

4. The method according to claim 2 or 3, wherein: The rank regression analysis method is used to determine the cumulative failure probability corresponding to the actual life of each hydraulic component, including: sorting the actual lifespans of the plurality of hydraulic components in ascending order; Based on the Bernard approximation equation and the rank of the actual life of each hydraulic component in the ranking, the cumulative failure probability corresponding to the actual life of the hydraulic component is determined.

5. The method according to claim 2, wherein: The Weibull parameter values also include first characteristic life values of the plurality of hydraulic components before improvement.

6. The method according to claim 1, wherein The target time is negatively correlated with the shape parameter value and the sample size, and positively correlated with the confidence level.

7. The method according to claim 6, wherein: The verification parameter further includes a target failure probability, and the target time is negatively correlated with the target failure probability.

8. The method according to claim 7, wherein: The shape parameter value is β, the sample size is k, the confidence level is C, the target life is T, the target failure probability is i, and the target time is , where k is a positive integer, β>0, T>0, 0<i<1, 0<C<1.

9. The method according to claim 1, wherein The verification parameter further includes a target failure probability, the target time is negatively correlated with the target failure probability, and the method further includes: According to the shape parameter value, the target failure probability and the target life, a second characteristic life value of the plurality of hydraulic components after improvement is determined.

10. The method according to claim 9, wherein: The second characteristic life value is negatively correlated with the target failure probability and positively correlated with the shape parameter value and the target life.

11. The method according to claim 10, wherein: The shape parameter value is β, the target failure probability is i, the target life is T, and the second characteristic life value is , where β>0, T>0, 0<i<1.

12. A reliability testing device comprising: an acquisition module configured to acquire actual lifespans of a plurality of hydraulic components corresponding to target failure modes, wherein the actual lifespan of each hydraulic component in the plurality of hydraulic components represents a working time of each hydraulic component before the target failure mode occurs; a first determination module configured to determine a shape parameter value of a Weibull distribution obeyed by the actual lifespans of the plurality of hydraulic components and a cumulative failure probability corresponding to the actual lifespan of each hydraulic component; and determine a target time required for reliability verification of a target lifespan of each improved hydraulic component among the plurality of improved hydraulic components based on the shape parameter value and preset verification parameters, the verification parameters including a confidence level and a sample size, the target lifespan of each improved hydraulic component representing an expected operating time of each improved hydraulic component before the target failure mode reoccurs; A judgment module is configured to judge whether the target failure mode occurs in each test sample when the time for performing the reliability test on the improved hydraulic components of the sample quantity as test samples reaches the target time; The second determination module is configured to determine, if the target failure mode does not occur in each test sample, whether each improved hydraulic component in the plurality of improved hydraulic components can reach the target life under the confidence level.

13. A reliability testing device comprising: Memory; as well as A processor coupled to the memory is configured to execute the method according to any one of claims 1 to 11 based on instructions stored in the memory.

14. A computer-readable storage medium comprising computer program instructions, wherein: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 11 is implemented.

15. A computer program product comprising a computer program, wherein When the computer program is executed by a processor, the method according to any one of claims 1 to 11 is implemented.

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