Network turbo unit monitoring system based on advanced diagnostic strategies
Yong Zhang; Ning-Ling Wang
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Volume 6, Issue , 26-29 Aug. 2004 Page(s): 3449 - 3453 vol.6
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Summary: 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.

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