Ins Research For Rolling Bearing Fault Diagnosis System Based On Fuzzy And Virtual Trument

The rolling bearing is used widely in rotating machinery, and at the same time it is very fragile. Due to the specific application environment, its life has a large randomness, so it can not be predicted accurately at present. Its running status affects the condition of the whole machinery equipment. According to statistics, there are 30% of rotating machinery fault are caused by rolling bearing. The condition monitoring and fault diagnosis of rolling bearing can find fault timely and can protect the property of factory and the safety of workers. So the study of rolling bearing fault diagnosis is very significant.Vibration which is arose by rotating can reflect the running state of roller bearing, and vibration signal testing is easy to collect and observe. It is convenient and reliable to estimate rolling bearing state and then to diagnose rolling bearing fault by measuring and analyzing bearing vibration signal.Fuzzy neural network system is a new study direction in the area of computer intelligence. It has the advantages of both the neural network and fuzzy system, which is establishing the fuzzy system on neural network, thus it can show its excellent processing ability in dealing with the uncertainty and imprecision of the system, at the same time it has self-study and organizational skills, and can adjust model parameters automatically. So it is used in the rolling bearing fault diagnosis.A rolling bearing fault diagnosis method based on band energy and Adaptive Neuro-Fuzzy Inference System(ANFIS) is advanced in this paper. Band energy parameters can be extracted through the rolling bearing vibration signal analysis in time domain, and then the fault pattern can be recognized by classifier which is made by ANFIS. Rolling bearing fault diagnosis using ANFIS can reduce the expertise requirement of operator, and can make the fault diagnosis change from traditional method to artificial intelligence. And the intelligent technology used in system reduces the pressure of maintenance staff a lot.Vibration signal acquisition system has been designed by Virtual Instruments, and combining features of Labview and MATLAB, the rolling bearing fault diagnosis system has been developed by hybrid programming of the two software. The result got from the analysis to the real gear reducer rolling bearing fault signal shows that the rolling bearing fault diagnosis system based on fuzzy and virtual instrument of this paper is reliable and practical.