基于时频分布图像的柴油机故障诊断  

Fault diagnosis of diesel engine based on TFD image processing

作　　者：肖建昆[1] 卢仙兰[1] 丁立斌[1] 鲍苏宁[1] 陆金铭[1] 

机构地区：[1]江苏科技大学船舶与海洋工程学院,江苏镇江212003

出　　处：《江苏科技大学学报（自然科学版）》2011年第2期149-153,177,共6页Journal of Jiangsu University of Science and Technology:Natural Science Edition

摘　　要：为研究柴油机故障诊断中图像分析法存在的问题,提出了一种基于时频分布图像分析的柴油机故障诊断方法.采集缸盖表面振动信号进行经验模态(Emp iricalMode Decomposition,EMD)分解,得到各阶内禀模态函数(Intrinsic Mode Func-tion,IMF),由前2阶IMF重构振动信号,并经H ibert-Huang变换得到解析信号.试验结果表明,选择合适的时频分布分析方法得到解析信号的时频分布图,可有效地区分柴油机故障工况.In order to study the remaining problems of image processing method used in diesel engine fault diagnosis,a new method is presented based on time-frequency distribution image processing.The vibration signals of cylinder head surface are obtained and decomposed into a finite number of intrinsic mode function components by the EMD method.Using the reconstruct vibration signals by IMF1 and IMF2,the analytic signals are got by Hibert-Huang transform.Experimental results show that selecting the appropriate time-frequency distribution analysis and obtaining time-frequency distribution of analytic signal can distinguish the diesel engine fault conditions effectively.

关 键 词：柴油机 故障诊断 经验模式分解 Hibert-Huang变换 时频分布 图像分析 

分 类 号：TH133[机械工程—机械制造及自动化] TK413.4[动力工程及工程热物理—动力机械及工程]