Intelligent gearbox fault diagnosis method based on mixed inference and neural network

A neural network and intelligent diagnosis technology, applied in the direction of reasoning method, neural learning method, biological neural network model, etc., can solve problems such as hindering the development of neural network, and achieve the effect of improving efficiency

Inactive Publication Date: 2010-01-27
BEIJING UNIV OF TECH
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Problems solved by technology

Of course, the main reason is that it was the heyday of traditional digi...

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  • Intelligent gearbox fault diagnosis method based on mixed inference and neural network
  • Intelligent gearbox fault diagnosis method based on mixed inference and neural network
  • Intelligent gearbox fault diagnosis method based on mixed inference and neural network

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Embodiment Construction

[0044] Provide following embodiment in conjunction with the content of the inventive method:

[0045] 1. Supplement to the knowledge base

[0046]The knowledge base is the basis and premise of the inference engine for diagnostic reasoning. It stores the knowledge possessed by domain experts into the computer in a certain expression form, and manages the knowledge conveniently and effectively.

[0047] First, analyze the main abnormal phenomena of the gearbox, and systematically study the mechanism of gear vibration and noise generation. Analyze the mathematical model of gear vibration, and discuss the main factors affecting the gear system vibration. On this basis, the vibration mechanism of various fault types is analyzed. The time-domain and frequency-domain features of various faults are enriched, and the feature extraction method of gear fault signals is discussed in detail. On this basis, carefully select sensitive parameters and summarize expert knowledge. The tradi...

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Abstract

The invention relates to an intelligent gearbox fault diagnosis method based on mixed inference and neural network, mainly comprising the following steps: enriching a knowledge base of an intelligent diagnosis system; storing expert knowledge into a computer; combining the neural network to recognize patterns; analyzing a main abnormal phenomenon of a gearbox; systematically researching generation mechanisms of vibration and noise of a gear; analyzing a mathematical model of gear vibration; analyzing the vibration mechanisms of various fault types by fully using on-site fault data; enriching time domain and frequency domain characteristics of various faults; and ensuring a characteristic extraction method of gear fault signals. A data analysis method mainly comprises the steps: band-pass filter frequency analysis, double-meaning analysis, envelope demodulation analysis and demodulation analysis based on EMD. The intelligent gearbox fault diagnosis method based on mixed inference and neural network solves the problems of the traditional serial information processing in the fields of pattern recognition, artificial intelligence, and the like so that a pattern recognition network is completely realized by the computer; and the intelligent gearbox fault diagnosis method based on mixed inference and neural network is convenient to realize the automation and the intelligence of the fault diagnosis and can provide a basis for a diagnosis decision in time.

Description

technical field [0001] The invention relates to an intelligent diagnosis method for gearbox faults, which can be further developed into an intelligent diagnosis system with relatively complete functions. The fault-based rule-based reasoning (BRB) and the case-based reasoning (CBR) based on a large number of actual cases, and then use the artificial neural network (ANN) with a powerful pattern classification function to form a multi-method three-dimensional diagnosis method for actual faults. It belongs to the field of gearbox fault diagnosis. Background technique [0002] The combination of artificial intelligence and diagnosis theory forms an intelligent diagnosis. The knowledge-based expert system that simulates human brain reasoning and reasoning developed in the dry period enters the field of equipment diagnosis in a serial operation format, forming a knowledge-based diagnosis and reasoning expert system. Knowledge-based intelligent fault diagnosis technology is one of ...

Claims

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Application Information

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IPC IPC(8): G01M13/02G06N5/04G06N3/02G06N3/08
Inventor 高立新吴丽娟张建宇胥永刚任志强王燕叶辉李金玉梁丽娜
Owner BEIJING UNIV OF TECH
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