Application Of Integrated Neural Networks In The Fault Diagnosis Of Rotating Machinery

With the development of equipment and the improvement of automatic level, the subject of equipment fault diagnosis is more important, and the selection of suitable diagnosis method to the results of diagnosis is very important. With the prevalence of computer technology, the intelligence fault diagnosis system is more important. The neural networks with the information proceeded juxtaposed have many advantages.In the past, the neural networks and the applications of them have been researched and a lot of products have been achieved. But with the complicity of the fault, using the simple neural network is not produced accurate conclusions, the integrated neural networks will overcome the shortcomings.In this article, the development of fault diagnosis technology , the fault diagnosis technology of rotating machinery and the application of neural network in the field of fault diagnosis have been discussed. The characters of rotating machinery faults and the mechanism of rotating machinery have been researched, the neural network technology , the selection of the neural network have been researched and the symptom table is built. In the diagnosis of fault, the vibration neural network and wear neural network are integrated and usedin the factory.Through the research, it is proved that the integrated neural network is very important to the accurate results of fault diagnosis.