Wavelet denoising using different mother wavelets for fault diagnosis of engine spark plug

被引：8

作者：

Moosavian, Ashkan ^{[1
,2
]}

Khazaee, Meghdad ^{[1
,2
]}

Najafi, Gholamhassan ^{[1
]}

Khazaee, Majid ^{[3
]}

Sakhaei, Babak ^{[2
]}

Jafari, Seyed Mohammad ^{[2
]}

机构：

[1] Tarbiat Modares Univ, Dept Mech Engn Agr Machinery, Jalale E Aleahmad Highway, Tehran, Iran

[2] Irankhodro Powertrain Co IPCO, Workshops Engine & Vehicle Labs Unit, Tehran, Iran

[3] Amirkabir Univ Technol, Dept Aerosp Engn, Tehran, Iran

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING | 2017年 / 231卷 / 03期

关键词：

Spark-ignition engine; vibration analysis; wavelet denoising; mother wavelets; feature extraction; support vector machine; SHAFER EVIDENCE THEORY; VIBRATION ANALYSIS; CLASSIFICATION; FUSION; SYSTEM; GEAR;

D O I：

10.1177/0954408915595952

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper deals with vibration-fault diagnosis of spark plug of an internal combustion engine using wavelet analysis and support vector machine. In order to reduce the noises of the vibration signals, wavelet denoising technique was used. A performance comparison was made between different mother wavelets as well as different levels of decomposition in order to find the best cases for the system under study. The results showed that the maximum classification accuracies were obtained by 13 different wavelets, namely, db1_4, db1_5, db2_4, db3_4, coif1_4, coif1_5, coif2_4, coif3_3, coif3_4, coif3_5, dmey_2, dmey_4 and bior3.7_6. It was also demonstrated that db1, coif1, coif3 and dmey were valuable mother wavelets for this study. Moreover, the results indicated that the proposed approach can reliably be used for spark plug fault diagnosis.

引用

页码：359 / 370

页数：12

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