DS evidence theory-based fault diagnosis method

A technology of evidence theory and fault diagnosis, applied in electrical digital data processing, special data processing applications, program control, etc., can solve problems such as loss of function, reduction, catastrophic accidents, etc., to achieve simple processing, simple calculation, and fault realization effect of diagnosis

Active Publication Date: 2018-08-14
NORTHWESTERN POLYTECHNICAL UNIV
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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 fault diagnosis method
  • DS evidence theory-based fault diagnosis method
  • DS evidence theory-based fault diagnosis method

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings and examples. The example of fault diagnosis of motor rotor is given here, and the experimental data comes from [1]. [1] There are three kinds of faults set up in China (here with F 1 ,F 2 ,F 3 Representation), each fault has four kinds of characteristic data, each contains five groups of data, each group has 40 observations. For the characteristic data of each characteristic of each fault, four groups are selected as training samples to generate the fault triangular fuzzy number model. Select fault F 3 The remaining set of data 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.

[0025] Step 1: Input three kinds of faults (denoted as F 1 ,F 2 ,F 3 ) fault sample data D with four characteristics ij (i=1, 2, . A triangular fuzzy number model is establ...

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Abstract

The invention provides a fault diagnosis method on the basis of the evidence theory, and relates to the field of fault diagnosis. The method comprises the steps that a triangular fuzzy model is builtfor all faults, a triangular fuzzy model is built for to-be-tested data, a basic probability assignment function is generated according to the overlapping degree between a to-be-tested module and a fault module, and basic probability assignment functions generated under all the faults through evidence theory combination rules are blended to achieve fault diagnosis. The method has the advantage ofbeing easy to compute; according to the basic probability assignment function generation method, processing on fuzzy information is well achieved; according to the fault diagnosis method, fault diagnosis of a motor rotor can be achieved.

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 integrated with production practice, and is the product of the development of modern production. With the application of modern science and technology in equipment, the structure of 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 functions can even lead to serious and even catastrophic accidents. [0003] The fault diagnosis technology is to grasp the operation status of the equipment while the equipment is running or basically without dismantling the equipment, analyze and process the useful...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02G06F17/50
CPCG05B23/0243G05B2219/24065G06F30/20
Inventor 蒋雯胡伟伟邓鑫洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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