基于香农熵特征的发动机故障诊断方法

Abstract
Figure/Table
References (16)
Related Citation (15)

Download: PDF (1164 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Here, through analyzing operational trajectories of a piston pin under different fit clearances, aiming at the orderliness of cylinder cover vibration signals generated due to striking the piston pin and their difference in frequency components, considering the finiteness of test data, a method for choosing a wavelet packet’s sub-signals with Shannon entropy, extracting their features and then diagnosing faults with SVM was proposed.Firstly, a vibration signal of the piston pin was decomposed into several sub-signals with the wavelet packet transform and Shannon entropy of each sub-signal was calculated.According to Shannon entropy values, appropriate sub-signals were chosen and their energy was calculated and taken as their features.A support vector machine (SVM) was used to classify the piston pin’s different faults.The diagnosis test results showed that the proposed method can be used to identify and classify different faults of the piston pin.

Key words： Shannon entropy wavelet packet support vector machine fault diagnosis

Received: 29 November 2017 Published: 28 October 2018

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2018/V37/I21/233

[1] 夏天,王新晴,肖云魁.基于高阶循环平稳的柴油发动机活塞销振动信号分析[J].中国机械工程,2010,21(12):1410-1413.
XIA Tian, WANG Xin-qing, XIAO Yun-kui. Analysis of Vibration Signals of Piston Pin in Diesel Engine Based on Higher Order Cyclostationarity[J]. Chinese Mechanical Engineering, 2010, 21(12):1410-1413.
[2] 肖云魁,李会梁,王保民.基于双谱的柴油发动机活塞销故障诊断[J].振动与冲击,2008,26(4):369-373.
XIAO Yun-kui, LI Hui-liang, WANG Bao-ming. Bispectrum Analysis of Fault Diagnostics of Piston-Pin of Diesel Engine[J]. Vibration and Shock, 2008,26(4):369-373.
[3] Yu L, Junhong Z, Fengrong B, et al. A fault diagnosis approach for diesel engine valve train based on improved ITD and SDAG-RVM[J]. Measurement Science & Technology, 2015, 26(2).
[4] Tamura M, Saito H, Murata Y, Kokubu K and Morimoto S 2011 Misfire detection on internal combustion engines using exhaust gas temperature with low sampling rate Appl. Therm. Eng. 31 4125–31.
[5] 白欣,黄博,王立臣.基于虚拟样机的发动机活塞销故障诊断研究[J].汽车技术,2005(4):20-23.
BAI Xin, HUANG Bo, Wang Li-chen. Study on Virtual-Prototype-Based Failure Diagnosis of Engine Piston Pin[J]. Automotive Technology, 2005(4):20-23.
[6] 刘发生.双谱柴油发动机活塞销故障诊断及应对措施探讨[J].科技风,2013(6):260-260.
LIU Fa-sheng. Discussion on Countermeasures about Fault Diagnosis of Piston Pin of Bispectral Diesel Engine and Countermeasures[J]. Technology Wind, 2013(6):260-260.
[7] 肖云魁,李世义,王建新,等.基于小波包—于小谱技术提取柴油发动机曲轴轴承故障特征[J].北京理工大学学报.2004,24(6):508-511.
XIAO Yun-kui, Li S Y, Wang J X. Fault Feature Extraction of Diesel Engine Crankshaft Bearing Based on Wavelet Packet-AR spectroscopy[J]. Journal of Beijing Institute of Technology, 2004,24(6):508-511.
[8] Ahmadi H, Tafreshi R, Sassani F, et al. On the Performance of Informative Wavelets for Classification and Diagnosis of Machine Faults[A]. In: Tang Y T, WAA 2001, LNCS 2251[C]. Germany: Springer-Verlag Berlin Heidelberg,2001,369-381.
[9] 丁恒远,肖云魁.汽车发动机活塞销异响分析[J].汽车运输,2000(7):31-35.
DING Heng-yuan, XIAO Yun-kui. Analysis of Automobile Engine Piston Pin Knocking[J]. Vehicle Transport. 2000(7):31-35.
[10] Antoni J, Daniere J, Guillet F. Effective Vibration Analysis of IC Engines Using Cyclostationarity. Part I: a Methodology for Condition Monitoring[J]. Journal of Sound and Vibration,2002,257(5):815-837.
[11] 李真.熵选择IMF分量的滚动轴承故障诊断方法[D].北京交通大学,2014.
LI Zhen. Fault Diagnosis Method of Rolling Bearing Based on Entropy selecting the IMF Component[D]. Beijing Jiaotong University, 2014.
[12] 胡志勇,牛家骅.基于时域能量划分和PSO-SVM的发动机故障诊断[J].汽车工程，2016,38(1):86-90.
HU Zhi-yong, LIU Jia-hua, Engine Fault Diagnosis Based on Time-domain Energy Division and PSO-SVM Algorithm[J]. Automobile Engineering, 2016, 38(1):86-90.
[13] 陈杰.基于支持向量机的柴油机故障诊断技术研究[D].武汉理工大学,2012.
Chen Jie. Research on Diesel Engine Fault Diagnosis Technology Based on Support Vector Machine[J]. Wuhan University of Technology, 2012.
[14] 张玲玲,肖静.基于MATLAB的机械故障诊断技术案例教程[M].高等教育出版社,2016,215-216.
ZhANG Ling-ling, XIAO Jin. Case Study of Mechanical Fault Diagnosis Technology Based on MATLAB[M]. Higher Education Press, 2016,215-216.
[15] 周斌,王保民,梅检民.基于小波包分解的柴油
机异响故障特征提取与诊断[J].军事交通学院学报,2009,11(2):30-34.
ZHOU Bin, WANG Bao-min, MEI Jian-min. Feature Extraction and Diagnosis on the Abnormal Sound Faults of Diesel Engine Based on the Wavelet Packet[J]. Journal of Military Transportation University, 2009,11(2):30-34.
[16] 徐玉秀,杨文平,吕轩,等.基于支持向量机的汽车发动机故障诊断研究[J].振动与冲击,2013,32(8):143-146.
XU Yu-xiu, YANG Wen-ping, LV Xuan. Research on Automotive Engine Fault Diagnosis Based on Support Vector Machine[J]. Vibration and Shock, 2013,32(8):143-146.