Method for analyzing reliability of momentum wheels and predicting remaining lives on basis of degradation data

A technology of degradation data and life prediction, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as unreasonable selection of degradation data and no consideration of measurement errors, so as to avoid huge loss of benefits and facilitate maintenance , an easily measurable effect

Active Publication Date: 2017-03-08
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for reliability analysis and remaining life prediction of momentum wheels based on degradation data, wh

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  • Method for analyzing reliability of momentum wheels and predicting remaining lives on basis of degradation data
  • Method for analyzing reliability of momentum wheels and predicting remaining lives on basis of degradation data
  • Method for analyzing reliability of momentum wheels and predicting remaining lives on basis of degradation data

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Embodiment Construction

[0016] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0017] The method for reliability analysis and remaining life prediction of momentum wheel based on degradation data in the present invention, the overall flow chart is as follows figure 1 As shown, the specific steps are as follows:

[0018] Step 1. Analyze the performance degradation mechanism of the momentum wheel and determine the key performance degradation parameters.

[0019] Through failure mechanism analysis, the present invention regards the remaining weight of the momentum wheel shafting lubricant as a key performance degradation parameter. Since the data used in the present invention is not telemetry data, no preprocessing is performed on the data.

[0020] Step 2. By analyzing the characteristics of the degradation parameters obtained in step 1, an appropriate performance degradation data model is established.

[0021] The spe...

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Abstract

The invention discloses a method for analyzing the reliability of momentum wheels and predicting remaining lives on the basis of degradation data. The method includes analyzing performance degradation mechanisms of the momentum wheels, determining key performance degradation parameters and preprocessing the degradation data; analyzing characteristics of the degradation parameters, building appropriate performance degradation data models, estimating unknown parameters in the models by the aid of maximum likelihood processes and proposing probability density functions, reliability functions and remaining life probability density functions in regard to the lives of the momentum wheels according to properties of the models; substituting estimated parameter values into various function expressions and analyzing the reliability and the remaining lives of the momentum wheels at various measurement moments according to the functions. The method has the advantages that the reliability of the momentum wheels can be estimated, the remaining lives of the momentum wheels can be predicted, and problems of unreasonable degradation data selection and deficiency of consideration on actual measurement errors during momentum wheel life prediction at present can be solved.

Description

technical field [0001] The invention belongs to the technical field of Prognostics and Health Management (PHM) research, and specifically relates to a method for analyzing the reliability of a momentum wheel and predicting the remaining life of a momentum wheel based on degradation data. Background technique [0002] The traditional remaining life prediction method is based on the historical life data of the product, and the distribution of the remaining life of the product is determined through the analysis of the historical life data. With the development of science and technology, a large number of long-life and high-reliability products have appeared in many fields such as electronics industry, aerospace industry, and machinery industry. For this kind of products, it is difficult to obtain the failure data or life data of the product in a short period of time by traditional life test and accelerated life test, which makes it difficult to obtain satisfactory results by tr...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17
Inventor 钱富才彭才华杜许龙
Owner XIAN UNIV OF TECH
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