Time domain fusion fault diagnosis method based on DS evidence theory

A technology of evidence theory and fault diagnosis, applied in the fields of instruments, character and pattern recognition, computer components, etc., can solve problems such as catastrophic accidents, degradation, loss of function, etc., to improve robustness, simple calculation, and realization of processing. Effect

Active Publication Date: 2018-09-11
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

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  • Time domain fusion fault diagnosis method based on DS evidence theory
  • Time domain fusion fault diagnosis method based on DS evidence theory
  • Time domain fusion fault diagnosis method based on DS evidence theory

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Embodiment Construction

[0023] 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 Five observations in the remaining set of data (data not selected as training samples) of the four features are used as test samples to illustrate the implementation steps of the proposed fault diagnosis method.

[0024] 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...

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Abstract

The invention provides a fault diagnosis method based on an evidence theory, and relates to the field of fault diagnosis. According to the method, a triangular fuzzy model is established for each fault, basic probability distribution functions are generated according to the intersection points between a to-be-tested sample and the fault models, and the basic probability distribution functions generated under each feature are fused through the combination of the evidence theory and rules, and finally, the fusing results of a plurality of moments are re-fused to achieve fault diagnosis. According to the method, the evidence theory is combined with the triangular fuzzy number to achieve the fault diagnosis, and the method has the advantage of being simple in calculation; according to the basic probability distribution function generating method, the fuzzy information can be well processed; the multi-time fusion fault diagnosis provided by the invention improves the robustness of fault diagnosis; and the fault diagnosis method provided by the invention can achieve the fault diagnosis of a motor rotor.

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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IPC IPC(8): G06K9/62
CPCG06F18/256
Inventor 蒋雯胡伟伟邓鑫洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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