A Statistical Analysis Method for Competing Failure-related Accelerated Life Tests
A technology of accelerated life testing and competitive failure, applied in computing, special data processing applications, instruments, etc., can solve problems such as lack of analysis methods and models
Active Publication Date: 2016-07-06
NAT UNIV OF DEFENSE TECH
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Problems solved by technology
In the correlation analysis of competitive failures, many scholars have adopted the copula method and achieved good results. However, the application of copula theory in the statistical analysis of accelerated life tests in the field of competitive failures is very small, and there is a lack of efficient and unified analysis methods and models.
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[0103] Combined with the practice of statistical analysis of accelerated life tests related to rolling bearing competition failure, according to figure 1 The flow chart shown illustrates an embodiment of the method.
[0104] Step 1: Obtain relevant information and test data of the accelerated life test of the product;
[0105] The constant stress accelerated life test was carried out on the rolling bearing model SKFexplorer6205 with the radial working load as the accelerated stress. There were 44 test samples in total. The working stress level of the bearing was 3.0kN, and the accelerated stress levels were 4.5kN, 5kN, 5.5kN, and 6kN respectively. , 6.5kN, 7kN, 7.5kN, 8kN, and the rotating speed is 6000r / min. The accelerated life test is carried out on the bearing life testing machine for each group of two. When one bearing fails during the test of a group of bearings, stop the test. For a group of bearing tests, record the failure time of the bearing, and inspect the failure...
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The invention belongs to the field of a reliable engineering technology and discloses a statistical analysis technique for an accelerated life test related to ineffectiveness in competition. The statistical analysis technique comprises the steps of acquiring relevant information and test data of the accelerated life test of a product; selecting an acceleration model and a copula model; building an MLE (Maximum Likelihood Estimation) model; estimating failure mode acceleration model parameters and copula function parameters of the product; and obtaining the distribution rule of the product life. According to the statistical analysis technique, based on a copula theory and a copula method, the product life and reliability level are estimated by a copula function as a tool connected with a correlationship between failure mode edge distribution of ineffectiveness in competition and joint distribution of product ineffectiveness in competition. The statistical analysis technique for accelerated life test related to ineffectiveness in competition and parameter estimation models are systematically built based on the copula theory at first time, so that the blank of the relative research field is filled, the product service life is prolonged, and the accuracy of reliability evaluation can be improved.
Description
technical field [0001] The invention relates to a statistical analysis method for accelerated life tests related to competing failures, and belongs to the technical field of reliability engineering. Background technique [0002] With the continuous development and progress of accelerated test technology, its application field has expanded from the original component-level products with single function, single structure and single failure to subsystem-level and system-level products with high integration and various failure forms. There are often multiple failure modes in a failure mode, and each failure mode affects each other. When each of the many failure modes of the product may lead to product failure, that is, the life of the product is the minimum failure time among the failure modes, we call it competitive failure. For example, in the accelerated life test of a motor insulation system, the failure of the insulation system is caused by one of the failure between turns...
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IPC IPC(8): G06F19/00
Inventor 张详坡尚建忠陈循张春华汪亚顺谭源源罗巍鲁相万伏彬
Owner NAT UNIV OF DEFENSE TECH