Study on the Diagnosing for Engine Faults Based on Multi-sensor Information Fusion
In order to solve the non-linear and uncertain faults of engine, a new in-cylinder engine faults diagnosis method based on multi-sensor information fusion is presented by using the theory of neural network. Through extracting eight features of three faults signals in the operating process of the marine diesel engine, three kinds of signals are sampled and analyzed using the pressure in cylinder, liberation of cover and the fuel pressure packet methods. Through this method, the fault diagnosis accuracy is improved effectively.
国家科技期刊平台
NSTL
万方数据
维普
