Network turbo unit monitoring system based on advanced diagnostic strategies

It is a trend to detect and analyze the faults of turbo-generator unit by means of advanced diagnostic theory and open network structure. A turbo-unit fault diagnosis system for shaft monitoring based on the improved RBF neural network diagnostic model is introduced in this paper, by which the typical faults and some new-type ones are to be diagnosed directly, besides it is of the function of modifying the samples continuously. More importantly, an open Browser/Server network structure is proposed to realize the operating condition information sharing among the levels of equipment managers, production managers and remote experts.