Paper Title:
Wavelet Packet and Support Vector Machine for Engine Fault Diagnosis
  Abstract

Aimed at the complexity of engine vibration, the paper proposed a combination method of wavelet packet and support vector machine for engine fault diagnosis based on the vibration signals. The vibration signals were collected from a gasoline engine, which type is Dongfeng EQ6100 (Chinese engine). The signals cover four working conditions, i.e. normal, piston knocking, piston pin fault, crankshaft bearing fault, under two engine conditions of on- and off-ignition, respectively. Firstly, wavelet packet was used to extract the features of the signals. Then, the off-ignition signals were selected to be the training data to construct a multi-class classifier based on support vector machine (SVM). Finally, applied the classifier to the engine diagnosis, and the faults were recognized effectively. The results demonstrate that the combined method is suitable to diagnose engine faults, especially for small signal samples.

  Info
Periodical
Advanced Materials Research (Volumes 230-232)
Edited by
Ran Chen and Wenli Yao
Pages
1-6
DOI
10.4028/www.scientific.net/AMR.230-232.1
Citation
L. Li, J. Li, B. J. Chen, "Wavelet Packet and Support Vector Machine for Engine Fault Diagnosis", Advanced Materials Research, Vols. 230-232, pp. 1-6, 2011
Online since
May 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiang Tao Yu, Wen Xiu Lu, Fu Lei Chu
Abstract:Based on pattern spectrum entropy and proximal support vector machine (PSVM), a motor rolling bearing fault diagnosis method is proposed in...
607
Authors: Wen Tao Sui, Dan Zhang
Abstract:This paper presents a fault diagnosis method on roller bearings based on adaptive neuro-fuzzy inference system (ANFIS) in combination with...
886
Authors: Yun Jie Xu
Abstract:Fault diagnosis of roller bearings is very complex, so it is difficult to use the mathematical model to describe their faults. Whose...
620
Authors: Shu Yan Zhao, Qi Wang
Chapter 1: Mechatronics Materials
Abstract:The sensor fault diagnosis method based on wavelet packet characteristic entropy and relevance vector machine are researched, which is used...
3
Authors: Hang Cheng, Xi Li, Zheng Bo Qin, Chao Yong Huang
Chapter 5: Control and Detection Technology
Abstract:This paper has put forward one method, combining with theory of decision tree and method of voting, and established one kind of multi-failure...
1010