A method for evaluating reliability of equipment maintenance support equipment based on accelerated life test

Abstract

The present application belongs to the technical field of equipment reliability evaluation, and relates to a kind of equipment maintenance support equipment reliability evaluation method based on accelerated life test.The present application avoids the adoption of invalid or unnecessary stress and model in the test by analyzing each specified type of equipment maintenance support equipment of each acceleration stress, effectively accelerates equipment failure, and helps to more accurately understand the performance of the equipment by analyzing the performance degradation rate, performance variation coefficient, mean time between failures, failure rate and each failure mode influence degree of each specified type of equipment maintenance support equipment under each acceleration stress test condition, providing direction for the improvement of the equipment. By analyzing the reliability evaluation situation of each specified type of equipment maintenance support equipment, the equipment state is described in multiple dimensions, avoiding the one-sidedness of single index evaluation, and accurately evaluating the reliability difference of different types of equipment maintenance support equipment under the same or different use conditions.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment reliability assessment, and relates to a reliability assessment method for equipment maintenance and support equipment based on accelerated life testing. Background Art

[0002] With the rapid advancement of modern technology, various types of equipment, such as military equipment and large-scale industrial equipment, are becoming increasingly complex and sophisticated. As the key to maintaining the normal operation of these equipment and ensuring its performance and reliability, the reliability of equipment maintenance and support equipment has become crucial. For example, during military operations, a malfunction in aircraft integrated detection equipment could lead to misdiagnosis or omission of aircraft faults, exposing the aircraft to significant safety hazards during flight and, in turn, impacting the execution of the entire military mission.

[0003] Traditional reliability assessment methods typically rely on the accumulation of long-term operational data from equipment under normal operating conditions. This approach is not only time-consuming but also extremely costly. Furthermore, using traditional methods to assess reliability requires years of actual use and the collection of extensive failure data, which incurs significant human, material, and time costs. Furthermore, with the accelerating pace of equipment upgrades, traditional methods are unable to rapidly assess the reliability of new maintenance and support equipment. This can lead to new equipment being deployed without sufficient reliability assessment, increasing operational risks. Summary of the Invention

[0004] In view of this, in order to solve the problems raised in the above background technology, a reliability assessment method for equipment maintenance and support equipment based on accelerated life testing is proposed.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a reliability assessment method for equipment maintenance and support equipment based on accelerated life testing, including: S1, accelerated stress acquisition: each type of equipment maintenance and support equipment to be subjected to accelerated life testing is recorded as each specified type of equipment maintenance and support equipment, and basic information of each specified type of equipment maintenance and support equipment is extracted from the database. Based on this, the various accelerated stresses of each specified type of equipment maintenance and support equipment are analyzed, and the corresponding accelerated test model is selected.

[0006] S2. Test sample division: Group the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment according to predefined principles to obtain the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0007] S3. Acquisition of test parameter information: Acquisition of performance parameter information and fault parameter information of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition during each test.

[0008] S4. Test parameter information analysis: Analyze the performance degradation rate, performance variation coefficient, mean time between failures, failure rate and the impact of each failure mode of each specified type of equipment maintenance and support equipment under various accelerated stress test conditions.

[0009] S5. Reliability assessment: Analyze and obtain the reliability assessment of maintenance and support equipment of each specified type of equipment.

[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention extracts basic information of each specified type of equipment maintenance and support equipment from a database and analyzes the various accelerated stresses of each specified type of equipment maintenance and support equipment. Due to different functions, structures and usage environments, the failure modes and responses to accelerated stresses of each type of equipment maintenance and support equipment are also different. By understanding the basic information of the equipment and analyzing the accelerated stress and selecting the model accordingly, the use of invalid or unnecessary stresses and models in the test is avoided, and the failure of the equipment is effectively accelerated.

[0011] 2. The present invention obtains samples of each specified type of equipment maintenance and support equipment under various accelerated stress test conditions, and conducts different accelerated stress tests on different groups of samples. This helps to more accurately allocate test resources according to the needs of each group, and makes the test samples more organized, which is convenient for test personnel to manage and operate.

[0012] 3. The present invention analyzes the performance degradation rate, performance coefficient of variation, mean time between failures, failure rate, and impact of each failure mode of each specified type of equipment maintenance and support equipment under various accelerated stress test conditions. Based on the analysis results, it helps to more accurately understand the performance of each specified type of equipment maintenance and support equipment, provides direction for equipment improvement, and also helps to formulate more targeted maintenance strategies.

[0013] 4. The present invention analyzes the reliability evaluation of maintenance and support equipment of each specified type of equipment, characterizes the equipment status from multiple dimensions such as performance degradation rate, performance coefficient of variation, mean time between failures, failure rate and the impact of each failure mode, and comprehensively understands the reliability of equipment maintenance and support equipment, avoiding the one-sidedness of single indicator evaluation and accurately evaluating the reliability differences of maintenance and support equipment of different types of equipment under the same or different usage conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 It is a schematic diagram of the implementation of the method steps of the present invention.

[0016] Figure 2 The present invention is a flowchart of the method of the present invention.

[0017] Figure 3 This is a flow chart of reliability evaluation analysis of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] See also Figure 1 As shown, the present invention provides a reliability assessment method for equipment maintenance and support equipment based on accelerated life testing, and the specific steps are as follows: S1, accelerated stress acquisition: each type of equipment maintenance and support equipment to be subjected to accelerated life testing is recorded as each specified type of equipment maintenance and support equipment, and basic information of each specified type of equipment maintenance and support equipment is extracted from a database. Based on this information, each accelerated stress of each specified type of equipment maintenance and support equipment is analyzed, and its corresponding accelerated test model is selected.

[0020] It needs to be further explained that the method implementation process flow chart is as follows Figure 2 shown.

[0021] In a specific example, the acceleration stresses include but are not limited to temperature stress, voltage stress, vibration stress, etc.

[0022] It should be noted that temperature stress refers to the stress generated within a structure or component when expansion or contraction occurs due to temperature fluctuations. Temperature stress is a stress experienced by any object in any environment, and its magnitude depends on the environment, structure, and operating conditions.

[0023] Voltage stress refers to the voltage applied to electrical equipment or electronic components during operation. When the applied voltage exceeds the rated voltage or tolerance of the equipment or component, it can cause performance degradation or damage. For example, excessive voltage stress can cause the insulation layer of an electronic component to break down, affecting its normal operation.

[0024] Vibration stress, a type of mechanical stress, refers to the stress generated by an object's reciprocating motion around a certain equilibrium position under the influence of external environmental forces. For example, electronic products may experience vibration stress under the mechanical loads of their operating environment, particularly during transportation in a non-operating state, or when operating as vehicle-mounted or aircraft-mounted components in an operating state.

[0025] The accelerated test model corresponding to the temperature stress includes but is not limited to the Arrhenius model and the Eyring model. The accelerated test model corresponding to the voltage stress includes but is not limited to the inverse power law model. The accelerated test model corresponding to the vibration stress includes but is not limited to the Coffin-Manson model and the Miner linear cumulative damage model.

[0026] As a preferred feasible embodiment, the basic information of the maintenance and support equipment of each designated type of equipment includes equipment type, equipment function and common failure mode.

[0027] In a specific example, the maintenance and support equipment of each designated type includes but is not limited to aircraft comprehensive detection equipment, field repair vehicles, inverter welding machines, etc.

[0028] It should be further explained that the specific method for obtaining the equipment type, equipment function and common failure mode of the maintenance and support equipment of each specified type of equipment is: extracting the equipment type, equipment function and common failure mode of the maintenance and support equipment of each specified type of equipment from the instruction manual of the maintenance and support equipment of each specified type of equipment.

[0029] As a preferred feasible embodiment, the specific analysis method of each accelerated stress of each specified type of equipment maintenance and support equipment is as follows: the equipment type, equipment function, and common failure mode of each specified type of equipment maintenance and support equipment are extracted, and these are matched with the accelerated stress corresponding to each equipment type, the accelerated stress corresponding to each equipment function, and the accelerated stress corresponding to each common failure mode stored in the information database, to obtain the accelerated stress corresponding to the equipment type, the accelerated stress corresponding to the equipment function, and the accelerated stress corresponding to the common failure mode of each specified type of equipment maintenance and support equipment.

[0030] The same acceleration stresses are selected from the acceleration stresses corresponding to the equipment type and the acceleration stresses corresponding to the equipment function of each specified type of equipment maintenance and support equipment as the acceleration stresses to be applied to the maintenance and support equipment of each specified type.

[0031] The accelerated stresses corresponding to the common failure modes of each specified type of equipment maintenance and support equipment and the accelerated stresses that should be added to each specified type of equipment maintenance and support equipment are summarized to obtain the accelerated stresses of each specified type of equipment maintenance and support equipment.

[0032] The present invention extracts basic information of maintenance and support equipment of each specified type of equipment from a database and analyzes the various accelerated stresses of the maintenance and support equipment of each specified type of equipment. Since the various types of maintenance and support equipment have different functions, structures and usage environments, their failure modes and responses to accelerated stresses are also different. By understanding the basic information of the equipment and analyzing the accelerated stress and selecting a model based on it, the use of invalid or unnecessary stresses and models in the test is avoided, and the failure of the equipment is effectively accelerated.

[0033] S2. Test sample division: Group the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment according to predefined principles to obtain the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0034] As a preferred feasible embodiment, the specific content of the predefined principle is: counting the acceleration stresses of each specified type of equipment maintenance and support equipment to obtain the number of acceleration stresses of each specified type of equipment maintenance and support equipment.

[0035] Divide the total number of equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment by the number of accelerated stresses corresponding to the specified type of equipment maintenance and support equipment, and use the quotient as the preset number of divisions. Group the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment according to the preset number of divisions to obtain the equipment maintenance and support equipment samples corresponding to each group of each specified type of equipment maintenance and support equipment under each accelerated stress test condition. If there is a remainder, it will be eliminated.

[0036] The present invention obtains samples of each specified type of equipment maintenance and support equipment under various accelerated stress test conditions, and conducts different accelerated stress tests on different groups of samples. This helps to more accurately allocate test resources according to the needs of each group, and makes the test samples more organized, which is convenient for test personnel to manage and operate.

[0037] S3. Acquisition of test parameter information: Acquisition of performance parameter information and fault parameter information of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition during each test.

[0038] As a preferred feasible embodiment, the performance parameter information includes electrical performance parameter information, mechanical performance parameter information and functional performance parameter information.

[0039] The electrical performance parameter information includes various monitored electrical performance data, the mechanical performance parameter information includes various monitored mechanical performance data, and the functional performance parameter information includes various monitored functional performance data.

[0040] In a specific example, the monitored electrical performance data of each aircraft integrated detection equipment sample includes but is not limited to voltage, current, insulation resistance, etc.

[0041] It should be noted that the specific method of obtaining the voltage, current and insulation resistance of the samples of each aircraft comprehensive detection equipment is: using voltage sensors, current sensors and insulation resistance testers to directly measure the voltage, current and insulation resistance of each aircraft comprehensive detection equipment sample.

[0042] The monitored mechanical performance data of each aircraft comprehensive testing equipment sample include but are not limited to structural strength and wear resistance index, etc.

[0043] It should be noted that the specific method for obtaining the structural strength and wear resistance index of each aircraft integrated testing equipment sample is as follows: (1) Using a laser displacement sensor to directly measure the deflection of each aircraft integrated testing equipment sample during the accelerated stress test, record it as the deflection of each aircraft integrated testing equipment sample, match it with the structural strength corresponding to each deflection stored in the information library, and obtain the structural strength of each aircraft integrated testing equipment sample. (2) Using a wear sensor to directly measure the mass wear and dimensional wear of each aircraft integrated testing equipment sample, respectively compare them with the set allowable mass wear and allowable dimensional wear, and obtain the ratio of the mass wear of each aircraft integrated testing equipment sample to the allowable mass wear and the dimensional wear to the allowable dimensional wear, and then sum them and take the inverse to obtain the wear resistance index of each aircraft integrated testing equipment sample.

[0044] The monitoring function performance data of each aircraft comprehensive detection equipment sample include but are not limited to detection accuracy, response time and data processing interval time.

[0045] It should be noted that the specific method for obtaining the detection accuracy, response time and data processing interval time of each aircraft integrated detection equipment sample is as follows: (1) According to the detection items of the aircraft integrated detection equipment, select a standard test piece with high-precision known dimensions, use each aircraft integrated detection equipment sample to measure the standard test piece, obtain the dimensions of the standard test piece measured by each aircraft integrated detection equipment sample, subtract the dimensions from the standard dimensions of the standard test piece, and calculate the absolute value of the difference and then compare it with the set allowable difference. The obtained ratio is calculated and recorded as the detection accuracy of each aircraft integrated detection equipment sample. (2) According to the functional characteristics of the aircraft integrated detection equipment, determine a clear trigger event and generate a corresponding trigger signal. Use a high-precision timing device (such as an atomic clock or a high-precision timer) to use the time when the trigger signal is issued as the starting time point of the timing and the response time of each aircraft integrated detection equipment sample as the ending time point of the timing. Further, the ending time point of the timing is subtracted from the starting time point of the timing. The difference obtained is the response time of each aircraft integrated detection equipment sample. (3) Load the standard data set into each aircraft integrated test equipment sample and start the data processing program. Use a high-precision timing device to record the total time from the start of data loading to the completion of processing and output of the results for each aircraft integrated test equipment sample, which is the data processing interval of each aircraft integrated test equipment sample.

[0046] The monitored electrical performance data of each field repair vehicle sample includes but is not limited to charging system efficiency, etc.

[0047] It should be noted that the specific method of obtaining the charging system efficiency of each field repair vehicle sample is: a high-precision power analyzer or power quality analyzer is installed at the input end of the charging system of each field repair vehicle sample to measure the input electrical energy of each field repair vehicle sample during the charging process; a high-precision battery simulator is connected to the output end of the charging system of each field repair vehicle sample to measure the output electrical energy of each field repair vehicle sample charging system to the load, and then the output electrical energy of each field repair vehicle sample charging system to the load is compared with the input electrical energy during the charging process to obtain the charging system efficiency of each field repair vehicle sample.

[0048] The monitored mechanical performance data of each field repair vehicle sample include but are not limited to the maximum load-bearing capacity of the chassis and the driving performance index.

[0049] It should be noted that the specific method for obtaining the maximum load-bearing capacity and driving performance index of the chassis of each field repair vehicle sample is: select a suitable loading device (hydraulic jack) and deploy it on each field repair vehicle sample, adopt a graded loading method, and gradually increase the load-bearing weight of the chassis. After each loading, maintain it for a period of time (such as 5-10 minutes), and observe the chassis of each field repair vehicle sample with the naked eye until it shows obvious deformation. The maximum load-bearing weight of the chassis at this time is recorded as the maximum load-bearing capacity of the chassis of each field repair vehicle sample.

[0050] On a long, straight road meeting the test conditions, each field repair vehicle sample was tested by fully depressing the accelerator pedal to accelerate to its highest stable speed. This speed was recorded using a speed measuring device and recorded as the maximum driving speed of each field repair vehicle sample. A road section with varying slopes was selected, and each field repair vehicle sample began climbing from the bottom of the slope. The maximum slope each field repair vehicle sample successfully climbed was recorded and recorded as the maximum climbed gradient of each field repair vehicle sample. Each field repair vehicle sample was driven at different speeds and steering maneuvers were performed. The steering angle and steering force were recorded using a steering meter to determine the maximum steering angle and maximum steering force of each field repair vehicle sample. The maximum driving speed, maximum climbed gradient, maximum steering angle, and maximum steering force of each field repair vehicle sample were normalized and then comprehensively calculated using a specific weighting algorithm to determine the driving performance index of each field repair vehicle sample.

[0051] In a specific example, the weights corresponding to the maximum driving speed, the maximum climbing gradient, the maximum turning angle, and the maximum steering force in the driving performance index of each field repair vehicle sample may be 0.1, 0.45, 0.2, and 0.25, respectively.

[0052] If a field repair vehicle primarily operates in complex terrain, such as mountains and hills, with numerous steep slopes and undulating surfaces, excellent climbing ability is essential to ensure smooth arrival at the designated location for equipment repairs and avoid mission delays due to climbing difficulties. Therefore, a weight of 0.45 is assigned to the maximum climbing gradient. In complex mountainous environments, where roads are rugged, narrow, and potentially full of obstacles, achieving high speeds is difficult. Furthermore, safe driving is paramount, and fast driving can pose greater safety risks. Therefore, a lower weight is assigned to the maximum speed. Therefore, a weight of 0.1 is assigned to the maximum speed. During missions, field repair vehicles may need to frequently turn on narrow roads, forest trails, or at construction sites. Greater steering force ensures greater maneuverability and stability, enabling quicker response to driver inputs and preventing delays in adjusting direction due to steering difficulties, which could impact mission execution. Therefore, a weight of 0.25 is assigned to the maximum steering force. While maximum steering angle is also important, enabling the vehicle to steer within confined spaces, steering force has a more direct and critical impact on vehicle maneuverability in complex environments. Therefore, maximum steering angle is weighted slightly lower than maximum steering force. Therefore, a weight of 0.2 is assigned to maximum steering angle.

[0053] The monitoring function performance data of each field repair vehicle sample includes but is not limited to multi-function integration, etc.

[0054] It should be noted that the specific method for obtaining the multifunctional integration degree of each field repair vehicle sample is: actual testing of each function of each field repair vehicle sample is carried out. If a certain function of a field repair vehicle sample is normal, then the function of the field repair vehicle sample is recorded as the normal function of the field repair vehicle sample, and then the normal functions of each field repair vehicle sample are obtained, and the normal function number of each field repair vehicle sample is obtained by statistics, and further the normal function number is compared with the function number of the corresponding field repair vehicle sample. The obtained ratio is recorded as the multifunctional integration degree of each field repair vehicle sample.

[0055] The monitored electrical performance data of each inverter welding machine sample include but are not limited to input voltage, output voltage, power factor, etc.

[0056] It should be noted that the specific method of obtaining the input voltage, output voltage and power factor of each inverter welding machine sample is: using a multimeter to directly measure the input voltage, output voltage and power factor of each inverter welding machine sample.

[0057] The monitored mechanical performance data of each inverter welding machine sample include but are not limited to structural strength and heat dissipation index.

[0058] It should be noted that the specific method for obtaining the structural strength and heat dissipation index of each inverter welding machine sample is as follows: (1) Fix each inverter welding machine sample on a vibration test bench, start the vibration test, vibrate according to the set vibration frequency, and vibrate continuously for a certain period of time in different frequency bands (such as 5-10 minutes in each frequency band). Record the maximum vibration frequency when the components of each inverter welding machine sample become loose, and record it as the structural strength of each inverter welding machine sample. (2) Arrange a temperature sensor inside each inverter welding machine sample to obtain the internal temperature of each inverter welding machine sample. According to the law of conservation of energy, most of the electrical energy consumed by the welding machine is converted into heat energy. If the input power of each inverter welding machine sample is P and the operating time is t, then the heat generated by each inverter welding machine sample is Q=P*t (ignoring other energy losses). Divide the heat of each inverter welding machine sample by the difference between the internal temperature of each inverter welding machine sample and the ambient temperature. The obtained ratio is recorded as the heat dissipation index of each inverter welding machine sample.

[0059] The monitoring function performance data of each inverter welding machine sample include but are not limited to welding quality index, welding efficiency and welding mode diversity.

[0060] It should be noted that the specific method for obtaining the welding quality index, welding efficiency and welding mode diversity of each inverter welding machine sample is as follows: (1) After each inverter welding machine sample welds the welded object, the corresponding welded object of each inverter welding machine sample is obtained, and a professional inspects it to obtain the quality score of the welded object corresponding to each inverter welding machine sample, and compares the score with the set total quality score to obtain the welding quality index of each inverter welding machine sample. (2) Select a suitable welding base material and welding process, start each inverter welding machine sample to weld, and use a stopwatch or record the welding time from the start of welding to the completion of the preset length. Ratio the preset length with the welding time of each inverter welding machine sample to complete the preset length. The obtained ratio is recorded as the welding efficiency of each inverter welding machine sample. (3) Perform actual operation on each inverter welding machine sample and test whether each welding mode is available. If a welding mode of a certain inverter welding machine sample is available, the welding mode of the inverter welding machine sample is recorded as the available welding mode of the inverter welding machine sample, and then the available welding modes of each inverter welding machine sample are obtained. The number of available welding modes of each inverter welding machine sample is statistically obtained, and the ratio is further compared with the total number of welding modes of each inverter welding machine sample to obtain the welding mode diversity of each inverter welding machine sample.

[0061] The fault parameter information data includes the number of faults and the fault occurrence mode of each fault.

[0062] It should be further explained that the specific method for obtaining the number of failures and the failure mode of each failure is to directly extract the number of failures and the failure mode of each failure from the failure information record book.

[0063] S4. Test parameter information analysis: Analyze the performance degradation rate, performance variation coefficient, mean time between failures, failure rate and the impact of each failure mode of each specified type of equipment maintenance and support equipment under various accelerated stress test conditions.

[0064] As a preferred feasible embodiment, the specific analysis method of the performance degradation rate of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is: extracting each monitoring electrical performance data, each monitoring mechanical performance data and each monitoring functional performance data of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition during each test.

[0065] The electrical degradation rate is obtained by taking the difference between the monitored electrical performance data at the current test and the monitored electrical performance data at the previous test, and then averaging the difference and multiplying the difference by the product of the monitored electrical performance data at the previous test and the length of the interval between the two monitoring times. This is then used to obtain the electrical degradation rate. This allows us to obtain the electrical degradation rate corresponding to each monitored electrical performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition for each specified type of equipment maintenance and support equipment. Similarly, the mechanical degradation rate corresponding to each monitored mechanical performance data and the functional degradation rate corresponding to each monitored functional performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition for each specified type of equipment maintenance and support equipment can be obtained.

[0066] It should be explained that the impact of the time detection interval on performance changes is taken into account when calculating the performance degradation rate. The same performance change will have different degrees of degradation at different time intervals. The shorter the time interval, the faster the degradation rate.

[0067] Then, the electrical degradation rate corresponding to each monitored electrical performance data, the mechanical degradation rate corresponding to each monitored mechanical performance data, and the functional degradation rate corresponding to each monitored functional performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition of each specified type of equipment maintenance and support equipment are averaged respectively to obtain the average electrical degradation rate, average mechanical degradation rate, and average functional degradation rate of each equipment maintenance and support equipment sample under each accelerated stress test condition of each specified type of equipment maintenance and support equipment. Further, based on the sum of the preset weight factors corresponding to the electrical performance, mechanical performance, and functional performance, the average calculation is performed to obtain the performance degradation rate of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0068] It's important to explain that equipment performance degradation is a comprehensive measure, encompassing the degradation of electrical, mechanical, and functional performance. To accurately measure performance degradation, we first calculate the degradation rates for each device sample across different performance dimensions (electrical, mechanical, and functional). We then perform a weighted average based on the importance of each performance factor to the overall performance of the device (weighting factors). Finally, we average the weighted degradation rates of all samples to determine the performance degradation rate for that type of device under specific accelerated stress test conditions. This calculation method comprehensively considers multiple performance factors and their relative importance, providing a more comprehensive picture of how device performance degrades as test conditions change.

[0069] As a specific example, if a specified type of equipment maintenance and support equipment is a field repair vehicle, the preset weight factors corresponding to the electrical performance, mechanical performance, and functional performance are 0.15, 0.63, and 0.22, respectively.

[0070] The Field Repair Vehicle integrates multiple machining and maintenance functions, enabling rapid repairs of various types of equipment under field conditions. It can manufacture parts, perform welding, cutting, and other maintenance operations, ensuring the sustained combat capability of troop equipment. Mechanical performance factors such as machining accuracy and stability are key to ensuring component quality, so a weighting factor of 0.63 was assigned to these performance factors. The diversity of machining processes and the degree of automation are crucial for meeting the processing requirements of diverse components, so a weighting factor of 0.22 was assigned to functional performance. Electrical performance, which primarily provides power and control for the equipment, carries a relatively low weighting, so a weighting factor of 0.15 was assigned to these performance factors.

[0071] It should be noted that there is no fixed weight ranking for each designated type of equipment maintenance and support equipment. Based on the different equipment types of each designated type of equipment maintenance and support equipment, targeted, scientific and reasonable weight allocation is carried out to accurately evaluate the comprehensive performance of the equipment.

[0072] As a preferred feasible embodiment, the specific analysis method of the performance variation coefficient of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is as follows: the standard deviation of each monitored electrical performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition is obtained according to the standard deviation calculation formula , Standard deviation of each monitored mechanical performance data and the standard deviation of each monitoring function performance data .

[0073] According to the mean calculation formula, the average value of each monitoring electrical performance data of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition is obtained. , Average value of each monitored mechanical performance data and the average performance data of each monitoring function .

[0074] Analyze the performance variation coefficient of each specified type of equipment maintenance support equipment under various accelerated stress test conditions ,in They are the weight factors corresponding to the preset electrical performance, mechanical performance and functional performance respectively.

[0075] A specific example, .

[0076] It's important to explain that the coefficient of variation (CV) is used to comprehensively assess the stability and consistency of equipment performance. The standard deviation measures the dispersion of data relative to the mean. The standard deviation calculation formula yields the standard deviation of each monitored electrical, mechanical, and functional performance data, reflecting the fluctuations in different performance data. The mean reflects the concentration level of the data. The mean calculation formula yields the average value of each performance data point, serving as an indicator of the concentration trend in the data. Therefore, calculating the ratio of the standard deviation to the mean (CV) eliminates the influence of magnitude and allows for more reasonable comparisons of fluctuations in different types of performance data.

[0077] As a preferred feasible embodiment, the specific analysis method of the mean time between failures of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is: extracting the total test time of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition from the information database.

[0078] The number of failures of each equipment maintenance support equipment sample of each specified type of equipment under each accelerated stress test condition during each test is extracted, and the failures are summarized and counted to obtain the total number of failures of each equipment maintenance support equipment sample of each specified type of equipment under each accelerated stress test condition.

[0079] The total test duration of each equipment maintenance and support equipment sample of each specified type of equipment under each accelerated stress test condition is compared with the total number of failures to obtain the average failure interval time of each equipment maintenance and support equipment sample of each specified type of equipment under each accelerated stress test condition. The average of these ratios is then used to obtain the average failure interval time of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0080] As a preferred feasible embodiment, the specific analysis method of the failure rate of the maintenance and support equipment of each specified type of equipment under each accelerated stress test condition is: taking the inverse of the average failure interval duration of the maintenance and support equipment of each specified type of equipment under each accelerated stress test condition to obtain the failure rate of the maintenance and support equipment of each specified type of equipment under each accelerated stress test condition.

[0081] It should be explained that the mean time between failures (MTBF) refers to the average operating time between two consecutive failures and is calculated by dividing the total operating time by the number of failures. The failure rate (Failure Rate) refers to the probability of equipment failure per unit time and is calculated by dividing the number of failures by the total operating time. Therefore, by taking the inverse of the mean time between failures for each specified type of equipment maintenance and support equipment under each accelerated stress test condition, we can determine the failure rate for each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0082] As a preferred feasible embodiment, the specific analysis method for the influence of each failure mode of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is: extracting the failure mode of each failure of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition during each inspection, and based on this, classifying the total number of failures of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition according to the failure mode, and obtaining the total number of each failure mode of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0083] The total number of failure modes of each equipment maintenance and support equipment sample under each accelerated stress test condition is ratioed to the total number of failures, and then multiplied by the corresponding impact factor of each failure mode extracted from the information database to obtain the impact degree of each failure mode of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

[0084] The present invention analyzes the performance degradation rate, performance coefficient of variation, mean time between failures, failure rate, and the impact of each failure mode of maintenance and support equipment of each specified type of equipment under various accelerated stress test conditions. Based on the analysis results, it helps to more accurately understand the performance of maintenance and support equipment of each specified type of equipment, provide direction for equipment improvement, and also help to formulate more targeted maintenance strategies.

[0085] S5. Reliability assessment: Analyze and obtain the reliability assessment of maintenance and support equipment of each specified type of equipment.

[0086] As a preferred feasible embodiment, the specific analysis method for the reliability assessment of the maintenance and support equipment of each specified type of equipment is as follows: the performance degradation rate, performance variation coefficient, mean failure interval, failure rate and influence of each failure mode of the maintenance and support equipment of each specified type of equipment under each accelerated stress test condition are normalized, and then the sum and average are calculated according to preset weights to obtain the reliability assessment coefficient of the maintenance and support equipment of each specified type of equipment.

[0087] In a specific example, the preset weights corresponding to the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the impact of each failure mode may be 0.25, 0.35, 0.17, 0.15, and 0.08, respectively.

[0088] The performance degradation rate reflects how equipment maintenance and support equipment's performance changes over time or over usage. As equipment is used, performance degradation is inevitable, and the speed of this degradation directly impacts the equipment's reliability and service life. Therefore, a preset weight of 0.25 is assigned to the performance degradation rate. The performance coefficient of variation measures the stability and consistency of equipment performance. For equipment maintenance and support equipment requiring extremely high performance stability, even small variations in performance can have serious consequences. Therefore, a preset weight of 0.35 is assigned to the performance coefficient of variation. The mean time between failures (MTBF) is a classic metric for measuring equipment reliability, directly reflecting the average time a device experiences troubleshooting during normal operation. A longer MTBF indicates more stable equipment operation, reducing maintenance and support interruptions caused by downtime. Therefore, a preset weight of 0.17 is assigned to the MTBF. The failure rate, which represents the probability of equipment failure per unit time and is closely related to the MTBF, is a key parameter for assessing equipment reliability. It intuitively reflects the likelihood of equipment failure during operation. Therefore, a preset weight of 0.15 is assigned to the failure rate. Different failure modes have different impacts on device reliability. Some failure modes may only cause temporary performance degradation, while some severe failure modes may render the device completely inoperable. Understanding the impact of each failure mode helps to more deeply evaluate device reliability. Therefore, a preset weight of 0.08 is assigned to the impact of each failure mode.

[0089] The reliability assessment coefficient of each designated type of equipment maintenance and support equipment is compared with the set reliability assessment coefficient threshold. If the reliability assessment coefficient of a designated type of equipment maintenance and support equipment is greater than the reliability assessment coefficient threshold, the reliability assessment status of the designated type of equipment maintenance and support equipment is recorded as reliable; otherwise, the reliability assessment status of the designated type of equipment maintenance and support equipment is recorded as unreliable, thereby obtaining the reliability assessment status of each designated type of equipment maintenance and support equipment.

[0090] It is necessary to further explain that the reliability assessment analysis flow chart is as follows: Figure 3 shown.

[0091] The present invention analyzes the reliability evaluation of maintenance and support equipment of each specified type of equipment, characterizes the equipment status from multiple dimensions such as performance degradation rate, performance variation coefficient, mean time between failures, failure rate and the impact of each failure mode, and comprehensively understands the reliability of equipment maintenance and support equipment, avoiding the one-sidedness of single indicator evaluation, and accurately assessing the reliability differences of maintenance and support equipment of different types of equipment under the same or different usage conditions.

[0092] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A reliability assessment method for equipment maintenance and support equipment based on accelerated life testing, characterized by: include: S1. Accelerated stress acquisition: Each type of equipment maintenance and support equipment to be subjected to the accelerated life test is recorded as each designated type of equipment maintenance and support equipment, and basic information of each designated type of equipment maintenance and support equipment is extracted from the database. Based on this information, each accelerated stress of each designated type of equipment maintenance and support equipment is analyzed, and the corresponding accelerated test model is selected; S2. Test sample division: Group the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment according to predefined principles to obtain the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment under each accelerated stress test condition; S3. Acquisition of test parameter information: Acquiring performance parameter information and fault parameter information of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition during each test; S4. Test parameter information analysis: Analyze the performance degradation rate, performance coefficient of variation, mean time between failures, failure rate, and impact of each failure mode of each specified type of equipment maintenance support equipment under various accelerated stress test conditions; S5. Reliability Assessment: Analyze and obtain the reliability assessment of maintenance and support equipment of each designated type of equipment; The basic information of each designated type of equipment maintenance and support equipment includes equipment type, equipment function and common failure mode; The performance parameter information includes electrical performance parameter information, mechanical performance parameter information and functional performance parameter information; The electrical performance parameter information includes various monitored electrical performance data, the mechanical performance parameter information includes various monitored mechanical performance data, and the functional performance parameter information includes various monitored functional performance data; The fault parameter information includes the number of faults and the fault occurrence mode of each fault; The specific analysis method for each accelerated stress of each specified type of equipment maintenance support equipment is as follows: Extract the equipment type, equipment function, and common failure mode of each specified type of equipment maintenance and support equipment, and match them with the corresponding accelerated stresses for each equipment type, each equipment function, and each common failure mode stored in the information database to obtain the corresponding accelerated stresses for each equipment type, each equipment function, and each common failure mode of each specified type of equipment maintenance and support equipment; Select the same acceleration stresses from the acceleration stresses corresponding to the equipment type and the acceleration stresses corresponding to the equipment function of each specified type of equipment maintenance and support equipment as the acceleration stresses to be applied to the maintenance and support equipment of each specified type; The accelerated stresses corresponding to the common failure modes of each specified type of equipment maintenance and support equipment and the accelerated stresses that should be added to each specified type of equipment maintenance and support equipment are summarized to obtain the accelerated stresses of each specified type of equipment maintenance and support equipment.

2. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 1, characterized in that: The specific contents of the predefined principles are: Counting the acceleration stresses of each designated type of equipment maintenance and support equipment to obtain the number of acceleration stresses of each designated type of equipment maintenance and support equipment; Divide the total number of equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment by the number of accelerated stresses corresponding to the specified type of equipment maintenance and support equipment, and use the quotient as the preset number of divisions. Group the equipment maintenance and support equipment samples of each specified type of equipment maintenance and support equipment according to the preset number of divisions to obtain the equipment maintenance and support equipment samples corresponding to each group of each specified type of equipment maintenance and support equipment under each accelerated stress test condition. If there is a remainder, it will be eliminated.

3. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 1, characterized in that: The specific analysis method for the performance degradation rate of each specified type of equipment maintenance support equipment under each accelerated stress test condition is as follows: Extract the monitored electrical performance data, monitored mechanical performance data, and monitored functional performance data of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition during each test; The result of subtracting the monitored electrical performance data at the current test from the monitored electrical performance data at the previous test and multiplying the difference by the product of the monitored electrical performance data at the previous test and the length of the interval between the two monitoring times is recorded as the electrical attenuation rate, thereby obtaining the electrical degradation rate corresponding to each monitored electrical performance data of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition. Similarly, the mechanical degradation rate corresponding to each monitored mechanical performance data and the functional degradation rate corresponding to each monitored functional performance data of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition can be obtained; Then, the electrical degradation rate corresponding to each monitored electrical performance data, the mechanical degradation rate corresponding to each monitored mechanical performance data, and the functional degradation rate corresponding to each monitored functional performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition of each specified type of equipment maintenance and support equipment are averaged respectively to obtain the average electrical degradation rate, average mechanical degradation rate, and average functional degradation rate of each equipment maintenance and support equipment sample under each accelerated stress test condition of each specified type of equipment maintenance and support equipment. Further, based on the sum of the preset weight factors corresponding to the electrical performance, mechanical performance, and functional performance, the average calculation is performed to obtain the performance degradation rate of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

4. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 3, characterized in that: The specific analysis method for the performance variation coefficient of each specified type of equipment maintenance support equipment under various accelerated stress test conditions is as follows: According to the standard deviation calculation formula, the standard deviation of each monitoring electrical performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition is obtained. , Standard deviation of each monitored mechanical performance data and the standard deviation of each monitoring function performance data ; According to the mean calculation formula, the average value of each monitoring electrical performance data of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition is obtained. , Average value of each monitored mechanical performance data and the average performance data of each monitoring function ; Analyze the performance variation coefficient of each specified type of equipment maintenance support equipment under various accelerated stress test conditions ,in They are the weight factors corresponding to the preset electrical performance, mechanical performance and functional performance respectively.

5. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 4, characterized in that: The specific analysis method for the mean time between failures of the maintenance support equipment of each specified type under various accelerated stress test conditions is as follows: Extracting the total test duration of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition from the information database; Extract the number of failures of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition during each test, and summarize and count the failures to obtain the total number of failures of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition; The total test duration of each equipment maintenance and support equipment sample of each specified type of equipment under each accelerated stress test condition is compared with the total number of failures to obtain the average failure interval time of each equipment maintenance and support equipment sample of each specified type of equipment under each accelerated stress test condition. The average of these ratios is then used to obtain the average failure interval time of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

6. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 5, characterized in that: The specific analysis method for the failure rate of each specified type of equipment maintenance support equipment under each accelerated stress test condition is as follows: The reciprocal of the average failure interval time of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is calculated to obtain the failure rate of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

7. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 6, characterized in that: The specific analysis method for the impact of each failure mode of each specified type of equipment maintenance support equipment under each accelerated stress test condition is as follows: Extracting the failure occurrence patterns of each failure of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition during each test; based on this, classifying the total number of failures of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition according to the failure occurrence patterns, thereby obtaining the total number of each failure occurrence pattern of each equipment maintenance and support equipment sample of each specified type under each accelerated stress test condition; The total number of failure modes of each equipment maintenance and support equipment sample under each accelerated stress test condition is ratioed to the total number of failures, and then multiplied by the corresponding impact factor of each failure mode extracted from the information database to obtain the impact degree of each failure mode of each specified type of equipment maintenance and support equipment under each accelerated stress test condition.

8. The reliability assessment method for equipment maintenance and support equipment based on accelerated life testing according to claim 7, characterized in that: The specific analysis method for the reliability assessment of the maintenance support equipment of each specified type of equipment is as follows: The performance degradation rate, performance variation coefficient, mean time between failures, failure rate and the impact of each failure mode of each specified type of equipment maintenance and support equipment under each accelerated stress test condition are normalized, summed and averaged according to the preset weights to obtain the reliability assessment coefficient of each specified type of equipment maintenance and support equipment; The reliability assessment coefficient of each designated type of equipment maintenance and support equipment is compared with the set reliability assessment coefficient threshold. If the reliability assessment coefficient of a designated type of equipment maintenance and support equipment is greater than the reliability assessment coefficient threshold, the reliability assessment status of the designated type of equipment maintenance and support equipment is recorded as reliable; otherwise, the reliability assessment status of the designated type of equipment maintenance and support equipment is recorded as unreliable, thereby obtaining the reliability assessment status of each designated type of equipment maintenance and support equipment.

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