Equipment maintenance support equipment reliability evaluation method based on accelerated life test

Abstract

The invention belongs to the technical field of equipment reliability evaluation, and relates to an equipment maintenance support equipment reliability evaluation method based on an accelerated life test. According to the invention, by analyzing each acceleration stress of each specified type of equipment maintenance support equipment, the adoption of invalid or unnecessary stress and model in the test is avoided, and the failure of the equipment is effectively accelerated; by analyzing the performance degradation rate, the performance variation coefficient, the average fault interval duration, the fault rate and the influence degree of each fault occurrence mode of each specified type of equipment maintenance support equipment under each accelerated stress test condition, the performance condition of the equipment maintenance support equipment can be known more accurately, and a direction is provided for the improvement of the equipment; by analyzing the reliability evaluation condition of each specified type of equipment maintenance support equipment, the equipment state is described in multiple dimensions, the one-sidedness of single index evaluation is avoided, and the reliability difference of different types of equipment maintenance support equipment under the same or different use conditions is accurately evaluated.

Description

Technical Field

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

[0002] With the rapid development of modern technology, various types of equipment such as military equipment and industrial large-scale equipment are becoming increasingly complex and precise. As the key to maintaining the normal operation of these equipment and ensuring their performance and reliability, the reliability of equipment maintenance and support equipment itself becomes crucial. For example, in military operations, if the aircraft integrated detection equipment fails, it may lead to misjudgment or missed judgment of aircraft faults, posing a huge safety hazard to the aircraft during flight, and thus affecting the execution of the entire military mission.

[0003] Traditional reliability assessment methods usually rely on the long-term accumulation of operation data of equipment under normal use conditions. This method not only takes a long time but also has extremely high costs. Moreover, if the traditional method is used to evaluate its reliability, it is necessary to go through several years of actual use and collect a large amount of fault data, during which the input of human, material and time costs is huge. In addition, with the accelerating speed of equipment replacement, the traditional method is difficult to meet the need for quickly evaluating the reliability of new equipment maintenance and support equipment, which may lead to the new equipment being put into use without fully evaluating its reliability, increasing the use risk. Summary of the Invention

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

[0005] The object of the present invention can be achieved through the following technical solutions: The present invention provides a method for assessing the reliability of equipment maintenance and support equipment based on accelerated life test, including: S1, obtaining accelerated stress: Denote each type of equipment maintenance and support equipment to be subjected to accelerated life test as each specified type of equipment maintenance and support equipment, extract the basic information of each specified type of equipment maintenance and support equipment from the database, analyze each accelerated stress of each specified type of equipment maintenance and support equipment accordingly, and select its corresponding accelerated test model.

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

[0007] S3, obtaining test parameter information: Obtain the performance parameter information and fault parameter information of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment at each detection under each accelerated stress test condition.

[0008] S4. Analysis of test parameter information: Analyze the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure mode of the maintenance support equipment for each specified type of equipment under each accelerated stress test condition.

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

[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By extracting the basic information of the maintenance support equipment for each specified type of equipment from the database, and analyzing the accelerated stresses of the maintenance support equipment for each specified type of equipment, due to the differences in functions, structures, and usage environments of different types of maintenance support equipment, their failure modes and responses to accelerated stresses also vary. By understanding the basic information of the equipment and analyzing the accelerated stresses and selecting models accordingly, the use of ineffective or unnecessary stresses and models in the test is avoided, effectively accelerating the equipment failure.

[0011] 2. By obtaining the samples of the maintenance support equipment for each specified type of equipment under each accelerated stress test condition, different groups of samples are subjected to different accelerated stress tests, which helps to more accurately allocate test resources according to the needs of each group, and makes the test samples more organized, facilitating the management and operation of the test personnel.

[0012] 3. By analyzing the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure mode of the maintenance support equipment for each specified type of equipment under each accelerated stress test condition, based on the analysis results, it helps to more accurately understand the performance of the maintenance support equipment for each specified type of equipment, provides a direction for the improvement of the equipment, and also helps to formulate more targeted maintenance strategies.

[0013] 4. By analyzing the reliability assessment of the maintenance support equipment for each specified type of equipment, the equipment status is characterized from multiple dimensions such as performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure mode, comprehensively understanding the reliability of the maintenance support equipment, avoiding the one-sidedness of single-index evaluation, and accurately evaluating the reliability differences of different types of maintenance support equipment under the same or different usage conditions. Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

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

[0016] Figure 2 This is a flowchart of the implementation process of the method of the present invention.

[0017] Figure 3 This is a flowchart for analyzing the reliability evaluation of the equipment maintenance support equipment based on the accelerated life test of the present invention. Detailed implementation manners

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Please refer to Figure 1 As shown, the present invention provides a method for evaluating the reliability of equipment maintenance support equipment based on the accelerated life test. The specific steps are as follows: S1. Obtaining accelerated stress: Denote various types of equipment maintenance support equipment to be subjected to the accelerated life test as various designated types of equipment maintenance support equipment, extract the basic information of each designated type of equipment maintenance support equipment from the database, analyze the respective accelerated stresses of each designated type of equipment maintenance support equipment accordingly, and select its corresponding accelerated test model.

[0020] It should be further noted that the flowchart of the method implementation process is as Figure 2 shown.

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

[0022] It should be noted that the temperature stress refers to the stress generated inside a structure or component due to expansion or contraction caused by temperature changes, and when the expansion or contraction is restricted, stress is generated inside the structure or component, which is called temperature stress. The temperature-related stress that relevant objects will bear in any environment depends on the type of environment, structure, working state, etc.

[0023] The voltage stress refers to the voltage effect that an electrical device or electronic component bears during operation. When the applied voltage exceeds the rated voltage and the bearing capacity range of the device or component, problems such as performance degradation and damage may occur. For example, excessive voltage stress may cause the insulation layer of an electronic component to be broken down, affecting its normal operation.

[0024] The vibration stress belongs to a type of mechanical stress, which refers to the stress generated when the relevant object makes reciprocating motion around a certain equilibrium position under the action of environmental external forces. For example, electronic products may be subjected to vibration stress under the mechanical load of the working environment, especially during transportation in the non-working state, or when operating as vehicle-mounted or airborne components in the working state.

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

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

[0027] A specific example is that each specified type of equipment maintenance support equipment includes but is not limited to aircraft integrated detection equipment, field repair vehicles, and inverter welders, etc.

[0028] It should be further noted that the specific acquisition methods of the equipment type, equipment function, and common failure modes of each specified type of equipment maintenance support equipment are: extracting the equipment type, equipment function, and common failure modes of each specified type of equipment maintenance support equipment from the manuals of each specified type of equipment maintenance support equipment.

[0029] As a preferred feasible embodiment, the specific analysis method of each acceleration stress of each specified type of equipment maintenance support equipment is: extracting the equipment type, equipment function, and common failure modes of each specified type of equipment maintenance support equipment, and matching them with the corresponding acceleration stresses of each equipment type stored in the information database, the corresponding acceleration stresses of each equipment function, and the corresponding acceleration stresses of each common failure mode, to obtain the corresponding acceleration stresses of the equipment type, equipment function, and common failure modes of each specified type of equipment maintenance support equipment.

[0030] Screen out the same acceleration stresses from the corresponding acceleration stresses of the equipment type and the corresponding acceleration stresses of the equipment function of each specified type of equipment maintenance support equipment as the acceleration stresses that should be applied to each specified type of equipment maintenance support equipment.

[0031] Summarize the corresponding acceleration stresses of the equipment type of each specified type of equipment maintenance support equipment and the acceleration stresses that should be applied to each specified type of equipment maintenance support equipment to obtain the acceleration stresses of each specified type of equipment maintenance support equipment.

[0032] In the present invention, by extracting the basic information of the maintenance support equipment for each specified type of equipment from the database, analyzing the various acceleration stresses of the maintenance support equipment for each specified type of equipment, since the failure modes and responses to acceleration stresses of the maintenance support equipment for each type of equipment are different due to differences in functions, structures, and usage environments, by understanding the basic information of the equipment and analyzing the acceleration stresses and selecting models accordingly, invalid or unnecessary stresses and models are avoided in the test, effectively accelerating the equipment failure.

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

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

[0035] Divide the total number of samples of the maintenance support equipment for each specified type of equipment by the number of acceleration stresses of the corresponding specified type of equipment, take the quotient as the preset division number, and group the samples of the maintenance support equipment for each specified type of equipment according to the preset division number to obtain the samples of each group corresponding to the maintenance support equipment for each specified type of equipment under each acceleration stress test condition. If there is a remainder, discard it.

[0036] In the present invention, by obtaining the samples of the maintenance support equipment for each specified type of equipment under each acceleration stress test condition, different groups of samples are subjected to different acceleration stress tests, which helps to more accurately allocate test resources according to the needs of each group, and makes the test samples more organized, facilitating management and operation by test personnel.

[0037] S3. Acquisition of test parameter information: Acquire the performance parameter information and fault parameter information of the samples of the maintenance support equipment for each specified type of equipment at each detection under each acceleration stress test condition.

[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] Among them, 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] A specific example, the monitored electrical performance data of each aircraft integrated test equipment sample includes but is not limited to voltage, current, insulation resistance, etc.

[0041] It should be noted that the specific acquisition methods of the voltage, current, and insulation resistance of each aircraft integrated test equipment sample are as follows: The voltage, current, and insulation resistance of each aircraft integrated test equipment sample are directly measured by using a voltage sensor, a current sensor, and an insulation resistance tester.

[0042] The monitored mechanical performance data of each aircraft integrated test equipment sample includes but is not limited to structural strength and wear resistance index, etc.

[0043] It should be noted that the specific acquisition methods of the structural strength and wear resistance index of each aircraft integrated test equipment sample are as follows: (1) The deflection of each aircraft integrated test equipment sample during the accelerated stress test is directly measured by using a laser displacement sensor, denoted as the deflection of each aircraft integrated test equipment sample, and it is matched with the corresponding structural strength of each deflection stored in the information database to obtain the structural strength of each aircraft integrated test equipment sample. (2) The mass wear amount and dimensional wear amount of each aircraft integrated test equipment sample are directly measured by using a wear sensor, and their ratios are respectively taken with the set permitted mass wear amount and permitted dimensional wear amount to obtain the ratios of the mass wear amount to the permitted mass wear amount and the dimensional wear amount to the permitted dimensional wear amount of each aircraft integrated test equipment sample, and the sum of them is taken and then the reciprocal is obtained to get the wear resistance index of each aircraft integrated test equipment sample.

[0044] The monitored functional performance data of each aircraft integrated test equipment sample includes but is not limited to detection accuracy, response duration, data processing interval duration, etc.

[0045] It should be noted that the specific methods for obtaining the detection accuracy, response duration, and data processing interval duration of each aircraft integrated detection equipment sample are as follows: (1) According to the detection items of the aircraft integrated detection equipment, select standard specimens with high-precision known dimensions, measure the standard specimens using each aircraft integrated detection equipment sample, obtain the dimensions of the standard specimens measured by each aircraft integrated detection equipment sample, subtract them from the standard dimensions of the standard specimens respectively, take the absolute value of the difference, and then take the ratio of the absolute value to the set permissible difference. The reciprocal of the obtained ratio is 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. Using a high-precision timing device (such as an atomic clock or a high-precision timer), take the time point when the trigger signal is sent as the starting time point of timing, and take the response time point of each aircraft integrated detection equipment sample as the ending time point of timing. Further subtract the starting time point of timing from the ending time point of timing, and the obtained difference is the response duration of each aircraft integrated detection equipment sample. (3) Load the standard data set into each aircraft integrated detection equipment sample, start the data processing program, and use a high-precision timing device to record the total duration from when the data starts to be loaded to when the processing is completed and the results are output for each aircraft integrated detection equipment sample, which is the data processing interval duration of each aircraft integrated detection equipment sample.

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

[0047] It should be noted that the specific method for obtaining the charging system efficiency of each field repair vehicle sample is as follows: Install a high-precision power analyzer or power quality analyzer 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. Connect a high-precision battery simulator to the output end of the charging system of each field repair vehicle sample to measure the output electrical energy output from the charging system of each field repair vehicle sample to the load. Then, take the ratio of the output electrical energy output from the charging system of each field repair vehicle sample to the load to its input electrical energy during the charging process, and the charging system efficiency of each field repair vehicle sample can be obtained.

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

[0049] It should be noted that the specific methods for obtaining the maximum chassis load-bearing capacity and driving performance index of each field repair vehicle sample are as follows: Select a suitable loading device (hydraulic jack) and place it on each field repair vehicle sample. Adopt a step-by-step loading method to gradually increase the load weight of the chassis. After each loading, maintain for a period of time (such as 5 - 10 minutes), and visually observe the chassis of each field repair vehicle sample until obvious deformation occurs. Record the maximum load weight of the chassis at this time as the maximum chassis load-bearing capacity of each field repair vehicle sample.

[0050] On a long, straight road that meets the test conditions, step on the accelerator pedal of each field repair vehicle sample to the bottom, accelerate the vehicle to the highest stable speed, and use a speed measurement device to record this speed value, which is recorded as the maximum driving speed of each field repair vehicle sample. Select sections with different slopes, and each field repair vehicle sample starts climbing from the bottom of the slope. Record the maximum slope that each field repair vehicle sample can successfully climb, which is recorded as the maximum climbing slope of each field repair vehicle sample. Each field repair vehicle sample drives at different speeds and performs steering operations. Use a steering measuring instrument to record the steering angle and steering force to obtain the maximum steering angle and maximum steering force of each field repair vehicle sample. After normalizing the maximum driving speed, maximum climbing slope, maximum steering angle, and maximum steering force of each field repair vehicle sample, perform comprehensive calculations according to a certain weight and algorithm to obtain the driving performance index of each field repair vehicle sample.

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

[0052] If the main mission environment of the field repair vehicle is complex terrains such as mountains and hills, where there are a large number of steep slopes and undulating roads, the vehicle can only reach the designated location for equipment repair smoothly by having good climbing ability, and avoid delaying the mission due to difficult climbing. Therefore, the weight corresponding to the maximum climbing gradient is assigned as 0.45. In complex mountainous environments, the roads are rough, narrow and may have various obstacles. It is difficult for the vehicle to reach a high driving speed, and safe driving is more important. Fast driving may bring greater safety risks. Therefore, the weight of the maximum driving speed is relatively low. Therefore, the weight corresponding to the maximum driving speed is assigned as 0.1. During the mission execution, the field repair vehicle may need to frequently turn in environments such as narrow roads, forest paths or construction sites. A larger steering force can ensure that the vehicle is more flexible and stable when turning, can quickly respond to the driver's operation, and avoid being unable to adjust the driving direction in time due to difficult turning, which affects the mission execution. Therefore, the weight corresponding to the maximum steering force is assigned as 0.25. Although the maximum turning angle is also important and can enable the vehicle to complete the turning operation in a limited space, in comparison, the steering force has a more direct and crucial impact on the vehicle's maneuverability in complex environments. Therefore, the weight of the maximum turning angle is slightly lower than that of the maximum steering force. Therefore, the weight corresponding to the maximum turning angle is assigned as 0.2.

[0053] The monitored functional performance data of each field repair vehicle sample include but are not limited to the multi-functional integration degree, etc.

[0054] It should be noted that the specific acquisition method of the multi-functional integration degree of each field repair vehicle sample is as follows: conduct actual tests on the various functions of each field repair vehicle sample. If a certain function of a field repair vehicle sample is normal, then record this function of the field repair vehicle sample as the normal function of the field repair vehicle sample, and thus obtain the normal functions of each field repair vehicle sample. Count the number of normal functions of each field repair vehicle sample, and further calculate the ratio of each of them to the number of functions of its corresponding field repair vehicle sample. The obtained ratio is recorded as the multi-functional integration degree of each field repair vehicle sample.

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

[0056] It should be noted that the specific acquisition methods of the input voltage, output voltage and power factor of each inverter welder sample are as follows: directly measure the input voltage, output voltage and power factor of each inverter welder sample using a multimeter.

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

[0058] It should be noted that the specific methods for obtaining the structural strength and heat dissipation index of each inverter welder sample are as follows: (1) Fix each inverter welder 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 vibrating for 5 - 10 minutes in each frequency band). Record the maximum vibration frequency when components of each inverter welder sample become loose, and denote it as the structural strength of each inverter welder sample. (2) Install temperature sensors inside each inverter welder sample to obtain the internal temperature of each inverter welder sample. According to the law of conservation of energy, most of the electrical energy consumed by the welder is converted into heat. If the input power of each inverter welder sample is P and the operating duration is t, then the heat generated by each inverter welder sample Q = P * t (ignoring other energy losses). Divide the heat of each inverter welder sample by the difference between the internal temperature and the ambient temperature of each inverter welder sample, and denote the obtained ratio as the heat dissipation index of each inverter welder sample.

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

[0060] It should be noted that the specific methods for obtaining the welding quality index, welding efficiency, and welding mode diversity of each inverter welder sample are as follows: (1) After each inverter welder sample welds the welding object, obtain the welded objects corresponding to each inverter welder sample. Professional personnel check them to obtain the quality scores of the welded objects corresponding to each inverter welder sample, and take the ratio of the quality scores to the set total quality score to obtain the welding quality index of each inverter welder sample. (2) Select appropriate welding base materials and welding processes, start each inverter welder sample for welding, and use a stopwatch or record the welding duration from the start of welding to the completion of a preset length. Take the ratio of the preset length to the welding duration of each inverter welder sample to complete the preset length, and denote the obtained ratio as the welding efficiency of each inverter welder sample. (3) Operate each inverter welder sample in practice and test whether each welding mode can be used one by one. If a certain welding mode of an inverter welder sample is available, denote this welding mode of the inverter welder sample as the available welding mode of the inverter welder sample, and then obtain the available welding modes of each inverter welder sample. Count the number of available welding modes of each inverter welder sample, and further take the ratio of the number of available welding modes to the total number of welding modes of each inverter welder sample to obtain the welding mode diversity of each inverter welder sample.

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

[0062] It should be further noted that the specific method for obtaining the number of failures and the failure occurrence modes of each failure is as follows: The number of failures and the failure occurrence modes of each failure are directly extracted from the failure information record book.

[0063] S4. Analysis of test parameter information: Analyze the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure occurrence mode of the maintenance support equipment of each specified type of equipment under each accelerated stress test condition.

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

[0065] The result obtained by taking the ratio of the difference between the monitoring electrical performance data at the current detection time and the monitoring electrical performance data at the previous detection time to the product of the monitoring electrical performance data at the previous detection time and the time interval between the two detections and then averaging is recorded as the electrical attenuation rate. Thus, the electrical attenuation rates corresponding to the monitoring electrical performance data of each maintenance support equipment sample of each specified type of equipment under each accelerated stress test condition are obtained. Similarly, the mechanical attenuation rates corresponding to the monitoring mechanical performance data and the functional attenuation rates corresponding to the monitoring functional performance data of each maintenance support equipment sample of each specified type of equipment under each accelerated stress test condition can be obtained.

[0066] It should be explained that when calculating the performance degradation rate, the influence of (time detection interval) on performance change is considered. For the same performance change amount, the degradation degree is different under different time intervals. The shorter the time interval, the faster the degradation speed.

[0067] Furthermore, the average electrical attenuation rate, average mechanical attenuation rate, and average functional attenuation rate of each maintenance support equipment sample of each specified type of equipment under each accelerated stress test condition are obtained by averaging the electrical attenuation rates corresponding to the monitoring electrical performance data, the mechanical attenuation rates corresponding to the monitoring mechanical performance data, and the functional attenuation rates corresponding to the monitoring functional performance data respectively. Based on the preset weight factors corresponding to electrical performance, mechanical performance, and functional performance, the sum is calculated and then averaged to obtain the performance degradation rate of the maintenance support equipment of each specified type of equipment under each accelerated stress test condition.

[0068] It should be noted that the performance degradation of the equipment is a comprehensive manifestation, which is jointly composed of the degradation of electrical, mechanical and functional performances. In order to accurately measure the performance degradation rate, first calculate the degradation rates of each equipment sample in different performance dimensions (electrical, mechanical, and functional degradation rates) separately, then perform a weighted average according to the importance of different performances to the overall performance of the equipment (weighting factor), and finally calculate the average value of the weighted degradation rates of all samples to obtain the performance degradation rate of this type of equipment under specific accelerated stress test conditions. This calculation method comprehensively considers various performance factors and their relative importance, and can more comprehensively reflect the degradation of equipment performance with the change of test conditions.

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

[0070] The field repair vehicle integrates a variety of mechanical processing and repair functions, and has the ability to quickly repair various types of equipment under field conditions. It can process and manufacture parts, perform welding, cutting and other repair operations to ensure the continuous combat ability of the troops' equipment. The processing accuracy, stability, etc. in its mechanical performance are the keys to ensuring the quality of parts. Therefore, the weighting factor corresponding to the mechanical performance is assigned a value of 0.63. The diversity of its processing technology, automation degree, etc. are very important for meeting the processing requirements of different parts. Therefore, the weighting factor corresponding to the functional performance is assigned a value of 0.22. The electrical performance mainly provides power and control for the equipment, and the weight is relatively low. Therefore, the weighting factor corresponding to the electrical performance is assigned a value of 0.15.

[0071] It should be noted that for each designated type of equipment maintenance and support equipment, there is no fixed weight ranking. According to the different types of each designated type of equipment maintenance and support equipment, targeted and scientifically 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 coefficient of variation of each designated type of equipment maintenance and support equipment under each accelerated stress test condition is as follows: According to the standard deviation calculation formula, obtain the standard deviation of each monitored electrical performance data of each equipment maintenance and support equipment sample of each designated type of equipment maintenance and support equipment under each accelerated stress test condition and the standard deviation of each monitored mechanical performance data and the standard deviation of each monitored functional performance data .

[0073] According to the mean value calculation formula, obtain the average value of each monitored electrical performance data of each equipment maintenance and support equipment sample of each designated type of equipment maintenance and support equipment under each accelerated stress test condition , the average value of each monitored mechanical performance data and the average value of each monitored functional performance data .

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

[0075] A specific example, .

[0076] It should be explained that the coefficient of variation of performance is used to comprehensively evaluate the stability and consistency of equipment performance. The standard deviation can measure the degree of dispersion of data relative to the mean. The standard deviation of each monitored electrical, mechanical, and functional performance data can be obtained through the standard deviation calculation formula, reflecting the fluctuation of different performance data; the mean reflects the central level of the data, and the average value of each performance data is obtained using the mean calculation formula as an indicator to measure the central tendency of the data. Therefore, by calculating the ratio of the standard deviation to the mean (coefficient of variation), the influence of the order of magnitude is eliminated, and the fluctuation of different types of performance data can be compared more reasonably.

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

[0078] Extract the number of failures of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment at each detection under each accelerated stress test condition, and summarize and statistically analyze it to obtain the total number of failures of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment under each accelerated stress test condition.

[0079] Divide the total test time of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment under each accelerated stress test condition by its total number of failures to obtain the mean time between failures of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment under each accelerated stress test condition, and further calculate the mean value to obtain the mean time between failures of each specified type of equipment maintenance support equipment under each accelerated stress test condition.

[0080] As a preferred feasible embodiment, 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: Take the reciprocal of the mean time between failures of each specified type of equipment maintenance support equipment under each accelerated stress test condition to obtain the failure rate of each specified type of equipment maintenance support equipment under each accelerated stress test condition.

[0081] It should be noted that the mean time between failures refers to the average working time between two adjacent failures, and its calculation method is obtained by dividing the total working duration by the number of failures. The failure rate refers to the probability of equipment failure per unit time, and its calculation method can be obtained by dividing the number of failures by the total working duration. Therefore, by taking the reciprocal of the mean time between failures of each specified type of equipment maintenance support equipment under each accelerated stress test condition, the failure rate of each specified type of equipment maintenance support equipment under each accelerated stress test condition can be obtained.

[0082] As a preferred feasible embodiment, the specific analysis method for the influence degree of each failure occurrence mode of each specified type of equipment maintenance support equipment under each accelerated stress test condition is as follows: Extract the failure occurrence mode of each failure of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment during each detection under each accelerated stress test condition. Based on this, classify the total number of failures of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment under each accelerated stress test condition according to the failure occurrence mode to obtain the total number of each failure occurrence mode of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment under each accelerated stress test condition.

[0083] Take the ratio of the total number of each failure occurrence mode of each equipment maintenance support equipment sample of each specified type of equipment maintenance support equipment under each accelerated stress test condition to its total number of failures, and then multiply by the corresponding influence factor of each failure occurrence mode extracted from the information database to obtain the influence degree of each failure occurrence mode of each specified type of equipment maintenance support equipment under each accelerated stress test condition.

[0084] By analyzing the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure occurrence mode of each specified type of equipment maintenance support equipment under each accelerated stress test condition, based on the analysis results, it helps to more accurately understand the performance of each specified type of equipment maintenance support equipment, provides a direction for equipment improvement, and also helps to formulate more targeted maintenance strategies.

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

[0086] As a preferred feasible embodiment, the specific analysis method for the reliability evaluation of each specified type of equipment maintenance support equipment is as follows: After normalizing the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure mode of each specified type of equipment maintenance support equipment under each accelerated stress test condition, sum them according to the preset weights and then calculate the mean value to obtain the reliability evaluation coefficient of each specified type of equipment maintenance support 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 influence degree of each failure mode can be 0.25, 0.35, 0.17, 0.15, and 0.08 respectively.

[0088] The performance degradation rate reflects the change of the performance of the equipment maintenance support equipment over time or the number of uses. As the equipment is used, it is an inevitable trend for the performance to gradually degrade, and the speed of performance degradation directly affects the reliability and service life of the equipment. Therefore, the preset weight corresponding to the performance degradation rate is assigned as 0.25. The performance variation coefficient measures the stability and consistency of the equipment performance. For equipment maintenance support equipment with extremely high requirements for performance stability, minor variations in performance may cause serious consequences. Therefore, the preset weight corresponding to the performance variation coefficient is assigned as 0.35. The mean time between failures is a classic indicator for measuring the reliability of equipment, which directly reflects the average time length of the equipment operating without failures during normal operation. A longer mean time between failures means that the equipment can operate more stably and reduce the interruption of maintenance support work caused by failure shutdowns. Therefore, the preset weight corresponding to the mean time between failures is assigned as 0.17. The failure rate represents the probability of the equipment failing per unit time, which is closely related to the mean time between failures and is one of the important parameters for evaluating the reliability of the equipment. It intuitively reflects the likelihood of the equipment failing during operation. Therefore, the preset weight corresponding to the failure rate is assigned as 0.15. Different failure modes have different degrees of influence on the reliability of the equipment. Some failure modes may only cause a temporary performance decline of the equipment, while some serious failure modes may make the equipment completely inoperable. Understanding the influence degree of each failure mode helps to more deeply evaluate the reliability of the equipment. Therefore, the preset weight corresponding to the influence degree of the failure mode is assigned as 0.08.

[0089] Compare the reliability evaluation coefficients of the equipment maintenance support equipment of each specified type with the set reliability evaluation coefficient threshold respectively. If the reliability evaluation coefficient of the equipment maintenance support equipment of a certain specified type is greater than the reliability evaluation coefficient threshold, record the reliability evaluation of the equipment maintenance support equipment of this specified type as reliable; otherwise, record the reliability evaluation of the equipment maintenance support equipment of this specified type as unreliable, and then obtain the reliability evaluation of the equipment maintenance support equipment of each specified type.

[0090] It should be further noted that the flowchart for analyzing the reliability evaluation is as Figure 3 shown.

[0091] By analyzing the reliability evaluation of the equipment maintenance support equipment of each specified type, the present invention depicts the equipment state from multiple dimensions such as the performance degradation rate, performance variation coefficient, mean time between failures, failure rate, and the influence degree of each failure mode, comprehensively understands the reliability of the equipment maintenance support equipment, avoids the one-sidedness of single-index evaluation, and accurately evaluates the reliability differences of different types of equipment maintenance support equipment under the same or different usage conditions.

[0092] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, 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 protection scope of the present invention.

Claims

1. A reliability assessment method for equipment maintenance and support equipment based on accelerated life test, characterized in that: include: S1. Accelerated stress acquisition: record each type of equipment maintenance and support equipment to be subjected to accelerated life test as each designated type of equipment maintenance and support equipment, extract basic information of each designated type of equipment maintenance and support equipment from the database, analyze each accelerated stress of each designated type of equipment maintenance and support equipment based on the information, and select its corresponding accelerated test model; S2. Test sample division: grouping 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 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; S5. Reliability assessment: Analyze and obtain the reliability assessment of maintenance and support equipment of each specified type of equipment.

2. The reliability assessment method of equipment maintenance and support equipment based on accelerated life test according to claim 1 is characterized by: 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; Wherein, the electrical performance parameter information includes each monitored electrical performance data, the mechanical performance parameter information includes each monitored mechanical performance data, and the functional performance parameter information includes each monitored functional performance data; The fault parameter information data includes the number of faults and the fault occurrence mode of each fault.

3. The reliability assessment method for equipment maintenance and support equipment based on accelerated life test according to claim 2 is characterized in that: The specific analysis method of each accelerated stress of each specified type of equipment maintenance and 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 of each equipment type, the corresponding accelerated stresses of each equipment function and the corresponding accelerated stresses of each common failure mode stored in the information database, to obtain the corresponding accelerated stresses of the equipment type, the corresponding accelerated stresses of the equipment function and the corresponding accelerated stresses of the 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 designated type of equipment maintenance and support equipment as the acceleration stresses that should be applied to the maintenance and support equipment of each designated type; The acceleration stresses corresponding to the equipment types of each designated type of equipment maintenance and support equipment and the acceleration stresses that should be added to each designated type of equipment maintenance and support equipment are summarized to obtain the acceleration stresses of each designated type of equipment maintenance and support equipment.

4. The reliability assessment method for equipment maintenance and support equipment based on accelerated life test according to claim 1 is characterized in that: The specific contents of the predefined principles are: Counting various accelerated stresses of maintenance and support equipment of each designated type of equipment to obtain the number of accelerated stresses of maintenance and support equipment of each designated type of 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, take the quotient as the preset number of divisions, and 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.

5. The reliability assessment method for equipment maintenance and support equipment based on accelerated life test according to claim 2 is characterized in that: 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 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 at each test; The result of averaging the difference between the monitored electrical performance data at the current test and the monitored electrical performance data at the last test and the product of the monitored electrical performance data at the last test and the length of the interval between the two monitorings is recorded as the electrical attenuation rate, thereby obtaining the electrical decay rate corresponding to each monitored electrical 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. Similarly, the mechanical decay rate corresponding to each monitored mechanical performance data and the functional decay rate corresponding to each monitored 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 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, the average calculation is performed after summing up the weight factors corresponding to the preset electrical performance, mechanical performance and functional performance to obtain the performance degradation rate 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 test according to claim 5 is characterized by: 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: 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 monitored electrical performance data of each equipment maintenance and support equipment sample under each accelerated stress test condition is obtained. , Average value of each monitored mechanical performance data And the average value of each monitoring function performance data ; Analyze the performance coefficient of variation of each specified type of equipment maintenance and support equipment under various accelerated stress test conditions ,in They are weight factors corresponding to the preset electrical performance, mechanical performance and functional performance respectively.

7. The reliability assessment method for equipment maintenance and support equipment based on accelerated life test according to claim 6 is characterized by: The specific analysis method of the mean time between failures of the maintenance and support equipment of each specified type of equipment under each accelerated stress test condition is as follows: Extract the total test duration 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; Extract the 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 during each test, and summarize and count them to obtain 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; The total test duration of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is ratioed with the total number of failures to obtain the average failure interval duration of each equipment maintenance and support equipment sample of each specified type of equipment maintenance and support equipment under each accelerated stress test condition. The average is further calculated to obtain the average failure interval duration 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 test according to claim 7 is characterized in that: The specific analysis method of the failure rate of each specified type of equipment maintenance and 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.

9. The reliability assessment method for equipment maintenance and support equipment based on accelerated life test according to claim 8 is characterized by: The specific analysis method of the influence of each failure mode of each specified type of equipment maintenance and support equipment under each accelerated stress test condition is as follows: Extract the failure occurrence 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 test, and classify 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 occurrence mode, and obtain the total number of each failure occurrence 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; The total number of failure modes of each specified type of 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.

10. The reliability assessment method of equipment maintenance and support equipment based on accelerated life test according to claim 9, characterized in that: 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 each specified type of equipment maintenance and support equipment under each accelerated stress test condition are normalized, summed and averaged according to 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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