Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation
Ling Zhong,
Qing Li
Abstract:A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a multi-parameter gray error neural network fault prediction model for the first time. Furthermore, an embedded platform for intelligent fault diagnosis and prediction was developed using an Application Specific Integrated Circuit chip. The results show that the simul… Show more
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