Title :
Using Local Wave Analysis to Diagnose Ship Diesel Engine Cylinder Wearing Faults
Author :
Gai, Qiang ; Ma, Xiaojiang ; Yin, Fuliang
Author_Institution :
Dalian Univ. of Technol.
Abstract :
Adaptive local wave analysis (LWA) is a new effective method for processing nonstationary data. The characteristics of the LWA, such as having better joint time-frequency resolution than STFT, Wigner-Ville distribution and wavelet analysis, and without cross terms that exist in Wigner-Ville distribution analysis are to be discussed. Through simulation and application analysis, it is proven that the LWA can get the best results for analyzing nonstationary signals and diesel engine cylinder wearing faults
Keywords :
Wigner distribution; diesel engines; fault diagnosis; time-frequency analysis; wavelet transforms; wear; adaptive local wave analysis; application analysis; diesel engine cylinder wear; nonstationary data processing; nonstationary signal analysis; ship diesel engine fault diagnosis; simulation analysis; time-frequency resolution; Analytical models; Diesel engines; Engine cylinders; Fourier transforms; Frequency; Marine vehicles; Signal analysis; Signal resolution; Transient analysis; Wavelet analysis; Diesel engine fault diagnosis; Local Wave Analysis; Non-stationary data;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714159
