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

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 ...

AI Technical Summary

Problems solved by technology

Of course, the main reason is that it was the heyday of traditional digital computers at that time, which hindered the development of neural networks.

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