|Table of Contents|

Application of empirical mode decomposition on engine fault feature extraction(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2010年03期
Page:
83-86
Research Field:
Publishing date:
2010-06-20

Info

Title:
Application of empirical mode decomposition on engine fault feature extraction
Author(s):
GAO Qiang1;  MA Zhi-yi1;  LIU Ben-chao1;  WANG Jin2;  DUAN Chen-dong2
1. School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Engineering Machinery, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
automobile engineering;  engine;  fault diagnosis;  empirical mode decomposition
PACS:
U464; TH17; TP306
DOI:
-
Abstract:
An empirical mode decomposition(EMD)method for analyzing crank shaft speed fluctuation signals and extracting the fault features of engine misfiring is investigated in order to solve the problem that an engine's operation will become so complicated that it is difficult to extract the fault features when the engine operates at a high speed. A “sifting” algorithm is applied in EMD to decompose a signal into some components based on their characteristic time scales, then the inner oscillation modes of different frequencies in the signal are revealed. A number of speed signals of a three-cylinder gasoline engine with the operation of low and intermediate speed, as well as normal and misfiring state are collected in some experiments, and then analyzed by using EMD. The results show that EMD can separate the high frequency components of the speed signals and extract the misfiring fault features of the engine effectively. This method is able to be applied as a pre-processing for artificial intelligence fault diagnosis for engine misfiring. 7 figs, 9 refs.

References:

[1] 胡玉平,吴 波.内燃机瞬时转速的波动规律分析[J].山东工业大学学报,2001,31(4):306-312. HU Yu-ping,WU Bo.Analysis of fluctuations of transient speed in internal combustion engines[J].Journal of Shandong University of Technology,2001,31(4):306-312.
[2]刘世元,杜润生,杨叔子.利用转速波动信号诊断内燃机失火故障的研究(1):诊断模型方法[J].内燃机学报,2000,18(3):315-319. LIU Shi-yuan,DU Run-sheng,YANG Shu-zi.Misfire detection for internal combustion engines by speed fluctuation signals-Part Ⅰ:method of diagnostic model[J].Transactions of CSICE,2000,18(3):315-319.
[3]刘世元,杜润生,杨叔子.利用转速波动信号诊断内燃机失火故障的研究(2):波形分析方法[J].内燃机学报,2000,18(3):320-323. LIU Shi-yuan,DU Run-sheng,YANG Shu-zi.Misfire detection for internal combustion engines by speed fluctuation signals-Part Ⅱ:method of waveform analysis[J].Transactions of CSICE,2000,18(3):320-323.
[4]吴 锋,谢云文,何文华,等.用循环内转速波动诊断内燃机故障的研究[J].内燃机工程,1996,17(3):52-57. WU Feng,XIE Yun-wen,HE Wen-hua,et al.Engine fault diagnosis by crank speed fluctuation[J].Chinese Internal Combustion Engine Engineering,1996,17(3):52-57.
[5]Gao Q,Duan C.Rotating machine fault diagnosis using empirical mode decomposition[J].Mechanical Systems and Signal Processing,2008,22(4): 1072-1081.
[6]Flandrin P,Rilling G,Gonc-alves P.Empirical mode decomposition as a filter bank[J].IEEE Signal Processing Letters,2004,11(7):112-114.
[7]杨建文,贾民平.希尔伯特-黄谱的端点效应分析及处理方法研究[J].振动工程学报,2006,19(2):283-288. YANG Jian-wen,JIA Min-ping.Study on processing method and analysis of end problem of Hilbert-Huang spectrum[J].Journal of Vibration Engineering,2006,19(2):283-288.
[8]Cheng J S,Yu D J,Yang Y.A fault diagnosis approach for roller bearings based on EMD method and AR model[J].Mechanical Systems and Signal Processing,2006,20(2):350-362.
[9]舒忠平,杨智春.抑制经验模分解边缘效应的极值点对称延拓法[J].西北工业大学学报,2006,24(5):639-643. SHU Zhong-ping,YANG Zhi-chun.A better method for effectively suppressing end effect of empirical mode decomposition[J].Journal of Northwestern Polytechnical University,2006,24(5):639-643.

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Last Update: 2010-06-20