INTELLIGENT FAULT DIAGNOSIS METHOD FOR TURBO-GENERATOR UNIT
Wang Ya-guang · Proceedings of the CSEE · 2002
This article presents an approach to fault diagnosis of turbo-generator unit by using intelligent neural networks. The conventional back-propagation network was optimized by Using a method of layer by layer, the action mech-anism of signal processing in neural networks was probed, the structure of this system was designed and the performance was discussed based on this. An intelligent method which can adaptively determine the fault of the turbo-generator unit is proposed. A relation table for causes and manifestations to turbine fault was proposed, using this table, three-layer percep-trons was improved, a fault in turbine was identified. This method is used in an example of the fault diagnosis, the results show that the fault can be accurately diagnosed.