Fault Diagnosis Of Auto Gearbox System Analysis Based On LABVIEW

Auto gearbox is the main part of vehicle. It influences the performance significantly. It may be noisy or cause traffic accident for serious if it's not qualified. So it is important and urgent to develop a kind of fault diagnosis system to verify auto gearboxes, not only to find out whether it has faults, but also find the faults' source.This subject is based on the project "SAGW Auto Gearbox Fault Diagnosis System Development". It is supported by ShangHai Auto Association and ShangHai Gearbox Company. It integrates auto gearbox fault theory analysis area, digital signal processing area and artificial intelligence area etc.In this paper, artificial intelligence is analyzed in depth. Researched on rough set theory, considering the ability of rough set theory to analysis data, diagnosis decision system is reduced to find the key conditions for diagnosis, so that the cost can be reduced and the efficiency can be raised. Researched on the fault diagnosis method of neural network and fuzzy system. Fuzzy system lacks self-study ability and its membership functions and fuzzy rule are chosen by experts subjectively;Input/output relationship obtained by neural network can't be expressed in acceptable way, Neural network is hard to learn from experts. So a fault diagnosis method base on fuzzy neural network is put forward and applied to the fault diagnosis of auto gearbox. The experimental result indicates that this method, compared with the common one, can make up the shortcoming of the single-handed application of fuzzy classification or neural network. Moreover, it owns the better validity and popularity. It has a good application prospects in rotating machinery fault diagnosis.An auto gearbox fault diagnosis system is developed, it integrates distributed database knowledge, intranet knowledge etc. The performance of this system on manufacturing line indicates that this system has high precision and stability.