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.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5662

Lastpage

5665

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714159

Filename

1714159