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Reliability Assessment Method for Multi-parameter Correlated Degraded Products Considering Multi-source Uncertainty

An uncertain, multi-parameter technology, applied in the field of reliability evaluation of multi-parameter related degraded products considering multi-source uncertainty, can solve the problems of lack of rationality and accuracy of reliability evaluation results, and achieve a concise evaluation process, Improved accuracy and applicability, accurate and reasonable results

Active Publication Date: 2022-04-12
HARBIN INST OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the impact of multi-source uncertainty (randomness of the degradation process, variability between sample individuals and measurement errors) and the nonlinearity of the degradation process in the existing multi-parameter correlation degradation model, Further lead to the lack of rationality and accuracy of the reliability evaluation results, the present invention provides a multi-parameter correlation degradation product reliability evaluation method considering multi-source uncertainty

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  • Reliability Assessment Method for Multi-parameter Correlated Degraded Products Considering Multi-source Uncertainty
  • Reliability Assessment Method for Multi-parameter Correlated Degraded Products Considering Multi-source Uncertainty
  • Reliability Assessment Method for Multi-parameter Correlated Degraded Products Considering Multi-source Uncertainty

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specific Embodiment approach 1

[0022] Specific Embodiment 1: This embodiment provides a method for evaluating the reliability of multi-parameter related degradation products considering multi-source uncertainties. The method first designs a reasonable accelerated degradation test by analyzing the task profile and failure mechanism of the product, And measure the multivariate performance parameters of the product; then, for the degradation data of a single performance parameter, establish and consider multi-source uncertainties (randomness of the degradation process, differences between sample individuals, and measurement errors) and non-linearity of the degradation process. Linear edge degradation model, and in the case of a given failure threshold, with the help of the concept of first arrival time (the time when the performance degradation reaches the failure threshold for the first time), approximate analytical forms of failure probability density function and failure distribution function are derived; the...

specific Embodiment approach 2

[0047] Specific implementation mode two: the following combination Figure 1 to Figure 5 Describe this embodiment. This embodiment is a further description of the specific embodiment 1. In this embodiment, a certain type of film capacitor is used as an object to evaluate the reliability of multi-parameter correlation degradation considering multi-source uncertainties. The specific steps are as follows:

[0048] Step 1: By analyzing the task profile and failure mechanism of a certain type of film capacitor, using voltage and temperature as the accelerated stress, put 5 samples into the accelerated degradation test, and continuously measure the capacitance and equivalent series resistance of the 5 film capacitors ( ESR), the degradation trajectories of the two performance parameters are as follows figure 2 and image 3 shown;

[0049] Step 2: For the capacitance value and ESR, respectively establish an edge degradation model Y that considers multi-source uncertainty (randomne...

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Abstract

The multi-parameter correlation degradation product reliability evaluation method considering multi-source uncertainty belongs to the technical field of product performance degradation modeling and reliability evaluation. The method is: analyze the task profile and failure mechanism of the product, design the accelerated degradation test, and measure the multiple performance parameters of the product; for the degradation data of a single performance parameter, establish an edge that considers multiple sources of uncertainty and the nonlinearity of the degradation process Degradation model, and in the case of a given failure threshold, the approximate analytical form of the failure probability density function and failure distribution function is derived; the joint failure distribution function of each performance parameter is established by using the Copula function; each edge degradation is obtained by using the maximum likelihood estimation The collection of unknown parameters in the model and Copula function realizes product reliability evaluation. The invention solves the problem that the existing multi-parameter correlation degradation model has not simultaneously considered the influence of multi-source uncertainty and the nonlinearity of the degradation process, which leads to the lack of rationality of the reliability evaluation results.

Description

technical field [0001] The invention belongs to the technical field of product performance degradation modeling and reliability evaluation, and in particular relates to a multi-parameter correlation degradation product reliability evaluation method considering multi-source uncertainties. Background technique [0002] With the continuous development of science and technology and manufacturing level, contemporary products, from complex systems or equipment to components or components, mostly present the characteristics of "high reliability and long life", which makes it difficult to predict or evaluate their reliability indicators in conventional life tests . Accelerated degradation test can significantly shorten the test period by increasing the stress level under the premise of ensuring that the failure mechanism of the product remains unchanged. At the same time, it can obtain rich information on the degradation of product performance parameters, which provides strong suppo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/02G06F119/04
CPCG06F30/20G06F2119/02G06F2119/04
Inventor 叶雪荣胡义凡郑博恺陈岑冯睿刘思瑞张东翟国富
Owner HARBIN INST OF TECH
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