High-speed Fan Fault Diagnosis Based On Fuzzy Neural Network Technology In The D350 System

In this paper, the classical vibration faults of the D350 blower under the practical circumstance are listed and analyzed. The characters of vibration faults are studied in detail, the corresponding repository of the D350 blower is also listed by fuzzy arithmetic, it is the base of studying the fault diagnose on D350 blower.On the base of the studying traditional Expert system, a new Expertsystem mode on the fault diagnose of D350 blower- the Fuzzy neuralnetwork Expert system Is put forward, it will overcome the limitation of the traditional Expert system, such as can not self-study, self-adaption.The signals of vibration are deal with to reflect the randomicity and uncertainty of the fault freely. In this system, the BP neural network are selected to capture the Information. The modes of the neural network are used to express the knowledge, so the superiority of self-study of Neural network can be used sufficiently. The knowledge in traditional Expert system is expressed by a kind data structure. On contrast to the traditional Expert system, the new method can distribute the information of repository to the value of weight and threshold of the Neural network, the knowledge of expert can be expressed preferably.The system was highly praised by staffs on the spot, the Fuzzy neural network Expert system which is superior to traditional Expert system in engineering is valuable in application.