Fault Analysis of Engine Timing Gear and Valve Clearance Using Discrete Wavelet and a Support Vector Machine

摘要：

An engine fault diagnosis method based on discrete wavelet transform and a support vector machine using engine vibration and sound signals is proposed in the present study. The use of mechanical vibration and sound signals for fault analysis in rotating machinery has grown significantly due to the progress of digital signal processing algorithms and implementation techniques. In general, the conditions of rotating machineries can be monitored by measuring the mechanical vibration and sound signals. In the present study, both the vibration and sound signals are used to find faults in the engine timing gear and valve clearance. The diagnosis system consists of feature extraction using the discrete wavelet transform and fault classification using the artificial neural network technique with the support vector machine method. In the experimental work, an electronic fuel injection scooter engine is used for simulating six working conditions in the faults of timing gear and intake-exhaust valves. The experimental results indicated the proposed technique is effective in fault diagnosis for experimental cases.

关键词： Discrete wavelet transforms Support vector machine Expert system Fault diagnosis system

作者: Jian-Da Wu Jian-Bin Chain Chen-Wei Chung Hao Yu

作者单位: National Changhua University of Education Graduate Institute of Vehicle Engineering, Changhua City, Taiwan

会议类型: 国际会议

会议名称: 2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)

会议地点: 三亚

会议语种:英文

页码: 22-26

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）