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DS evidence theory-based weighted fusion fault diagnosis method

A technology of evidence theory and weighted fusion, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as reduction, catastrophic accidents, loss of function, etc., achieve simple calculation, realize fault diagnosis, and good integration effect of effect

Active Publication Date: 2018-08-24
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

With the application of modern science and technology on equipment, the structure of the equipment is becoming more and more complex, the functions are becoming more and more perfect, and the degree of automation is getting higher and higher. Due to the influence of many unavoidable factors, various failures of the equipment will occur, thus Degradation or loss of intended function, or even serious or even catastrophic accidents

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  • DS evidence theory-based weighted fusion fault diagnosis method
  • DS evidence theory-based weighted fusion fault diagnosis method
  • DS evidence theory-based weighted fusion fault diagnosis method

Examples

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Embodiment Construction

[0029]The present invention will be further described below in conjunction with accompanying drawings and examples. An example of motor rotor fault diagnosis is given here, and the experimental data comes from [1]. [1] There are three types of failures (here F 1 , F 2 , F 3 Indicates), each fault has four kinds of characteristic data, each contains five groups of data, and each group has 40 observations. For the feature data of each feature of each fault, four groups are selected as training samples to generate a fault triangular fuzzy number model. Select Fault F 3 The rest of the four features (data not selected as training samples) are used as test samples to illustrate the implementation steps of the proposed fault diagnosis method.

[0030] Step 1: Input three types of faults (denoted as F 1 ,F 2 , F 3 ) Fault sample data D of four characteristics ij (i=1,2,...,3,j=1,2,...,4), the fault feature is a feature that can be used for fault classification, and the fault...

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Abstract

The invention provides a fault diagnosis method on the basis of an evidence theory, and relates to the field of fault diagnosis. The method comprises the following steps of: establishing a triangularfuzzy model for each fault; establishing triangular fuzzy models for to-be-tested data; generating basic probability distribution functions according to overlapping degrees between a to-be-tested models and fault models; generating feature weights according to similarities between the fault models; and carrying out weighted fusion on the basic probability distribution functions under various features by using an evidence theory combination rule and the feature weights so as to realize fault diagnosis. According to a basic probability distribution function generation method, processing for fuzzy information is well realized; according a weighted fusion method for feature weights, relatively good fusion effect is obtained; and according to the fault diagnosis method, fault diagnosis of motorrotors can be realized.

Description

technical field [0001] The invention relates to the field of fault diagnosis, and is a method for realizing fault diagnosis based on DS evidence theory. Background technique [0002] Fault diagnosis technology is an engineering science that is closely combined with the actual production and is the product of the development of modern production. With the application of modern science and technology on equipment, the structure of the equipment is becoming more and more complex, the functions are becoming more and more perfect, and the degree of automation is getting higher and higher. Due to the influence of many unavoidable factors, various failures of the equipment will occur, thus Reduce or lose the intended function, and even cause serious or even catastrophic accidents. [0003] Fault diagnosis technology is to grasp the operating status of the equipment when the equipment is running or basically does not disassemble the equipment, analyze and process the useful informa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 蒋雯胡伟伟邓鑫洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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