The Open Automation and Control Systems Journal

2014, 6 : 913-918
Published online 2014 December 31. DOI: 10.2174/1874444301406010913
Publisher ID: TOAUTOCJ-6-913

Research on Diesel Engine Piston Wear Fault Diagnosis Method Based on the Local Wave Time-frequency Analysis

Fengqiang Zhao , Guangqiang Li , Hongying Hu , Jialu Du , Chen Guo , Tao Li and Xinwen Fu
School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China.

ABSTRACT

A large number of non-stationary dynamic signals are generated in the working machinery and equipment. Especially, diesel engines often encounter non-stationary transient and time-varying modulation signals, such as the impulse response signals caused by cylinder piston wear. These kinds of signals generated from diesel engine are analyzed by the method of the Local Wave time-frequency proposed in this paper, and then according to the analysis to diagnose the working state of the diesel engine. It proved that the proposed method is feasible and effective. Moreover, it provides an effective way for the diesel engine condition monitor and fault diagnosis.

Keywords:

Fault diagnosis, Diesel, Local wave method, Time-frequency analysis.