Title :
Fault diagnosis of fuel oil system for diesel engines based on wavelet neutral network
Author :
Li, Fengming ; Wang, Xiaohong
Author_Institution :
Shandong KaiWen Coll. of Sci. & Technol., Jinan, China
Abstract :
Aiming at the non-stationary and time-varying characteristics of the diesel engine´s fuel pressure wave signals, a method of extracting fault characteristic vectors by the energy of wavelet packet over the signals is presented. The nonlinear of neutral network makes fault diagnosis easier. According to the energy fault features and the kinds of faults, the network is constructed. The result of the simulation shows that this method can be used to classify faults of fuel oil system, and it is entirely practicable and reliable in the diesel fault diagnosis. In addition, it can also be applied to the faults diagnosis of other equipments.
Keywords :
diesel engines; fault diagnosis; fuel systems; mechanical engineering computing; neural nets; pressure; diesel engine; energy fault feature; fault characteristic vector; fault diagnosis; fuel oil system; fuel pressure wave signal; wavelet neutral network; wavelet packet; Fault diagnosis; Feature extraction; Fuels; Neurons; Radial basis function networks; Wavelet packets; diesel engine; fault diagnosis; fuel oil system; wavelet neutral network;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987186
