Title :
A Method for Diagnosing the Cylinder Fault of Engine Based on Artificial Neural Network
Author :
Jianmin, Liu ; Xinyong, Qiao
Author_Institution :
Dept. of Mech. Eng., Acad. of Armored Forces Eng., Beijing
Abstract :
Measured the instantaneous speed of diesel engine and analyzed the mechanism of fault diagnosis with speed signal. Processed the speed signal with method of spectrum analysis and complexity analysis and analyzed the change law of speed in condition of mis-cylinder. Calculated [K,C] complexity of speed signal and got the features of mis-cylinder fault. Set up a BP neural network to diagnose mis-cylinder fault of diesel engine.
Keywords :
backpropagation; diesel engines; engine cylinders; fault diagnosis; mechanical engineering computing; neural nets; artificial BP neural network; complexity analysis; diesel engine mis-cylinder fault diagnosis; spectrum analysis; speed measurement; speed signal processing; Artificial neural networks; Diesel engines; Engine cylinders; Fires; Frequency; Fuels; Mechanical engineering; Neural networks; Signal analysis; Velocity measurement; complexity analysis; fault diagnosis; instantaneous speed; neural network;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1409
