Parameter estimation method of Wiener process based on performance degradation data and life data fusion

A technology of degraded data and life data, which is applied in the direction of electrical digital data processing, special data processing applications, calculations, etc., and can solve problems such as complex mathematical operations and inconvenient engineering practice

Active Publication Date: 2018-12-28
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, these parameter estimation methods involve complex mathematical operations, which are not convenient for engineering practice.

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  • Parameter estimation method of Wiener process based on performance degradation data and life data fusion
  • Parameter estimation method of Wiener process based on performance degradation data and life data fusion
  • Parameter estimation method of Wiener process based on performance degradation data and life data fusion

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Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with examples and accompanying drawings.

[0040] This example discloses a Wiener process parameter estimation method based on the fusion of performance degradation data and life data. In this example, it is assumed that there are 6 samples, and the performance degradation of each sample obeys the parameter and The Wiener process. Based on the Wiener process, 6 groups of random numbers are generated, each group has 10001 values, which are used as the performance measurement values ​​of 6 samples, such as figure 2 shown. In addition, based on the inverse Gaussian distribution corresponding to the Wiener process, 6 random numbers are generated as the life data of 6 samples, which are 1.4257, 1.5118, 1.5365, 1.5641, 2.2672 and 2.4917. Concrete algorithm of the present invention is as follows:

[0041] First, according to the maximum likelihood method, based on figure 2 The performance ...

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Abstract

The invention belongs to the technical field of reliability statistics, and discloses a Wiener process parameter estimation method based on performance degradation data and life data fusion. First, the initial value of Wiener process parameters is obtained by maximum likelihood method based on performance degradation data. Then, the failure probability of life data is estimated by using the initial value. Finally, the life distribution parameters of life data and failure probability are fitted and transformed into the final value of Wiener process parameters. The invention solves the parameterestimation problem of the Wiener process based on the fusion of the performance degradation data and the life data through the steps. Compared with the existing method, the algorithm calculation process proposed by the invention is simple and effective. As will be seen from the follow detailed embodiment, the algorithm proposed by the invention has high computational accuracy.

Description

technical field [0001] The invention mainly relates to the field of reliability statistics, in particular to a Wiener process parameter estimation method based on the fusion of performance degradation data and life data. Background technique [0002] In reliability engineering, the reliability assessment method based on life data is a traditional technique. This method mainly uses the theory of mathematical statistics, adopts a specific life distribution, and evaluates the reliability of the product by analyzing the life data of the product. However, with the advancement of science and technology, the improvement of manufacturing technology, and the increasing reliability of products, it has become difficult to collect a large amount of life data, making the traditional reliability assessment method based on life data difficult to apply. [0003] For this reason, reliability assessment methods based on performance degradation data have been widely developed. This method ma...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/18
CPCG06F17/18G06F30/20G06F2119/04
Inventor 贾祥程志君郭波
Owner NAT UNIV OF DEFENSE TECH
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