Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)

Research on fault feature extraction method of abnormal noise of diesel engine based on wavelet energy spectrum

Authors
Bin Zhou, Hui-Juan Feng, Shi-Jiu Jin
Corresponding Author
Bin Zhou
Available Online December 2016.
DOI
10.2991/eeeis-16.2017.54How to use a DOI?
Keywords
Continuous Wavelet Transform, Diesel Engine, Energy Spectrum, Fault Diagnosis
Abstract

A data acquisition system has been designed to capture the vibration signal for the engines. A test has been carried out for the vibration signal acquisition of piston knock and piston pin knock of 5.9L Cummins 6BT diesel engine. The test data has been processed by continuous wavelet transform. The scale-energy spectrum and the 3-dimentinal (3D) energy spectrum plot have been generated. The fault feature of abnormal noise of piston knock and piston pin knock of the engine under various technical condition and operating status has been extracted. The research result shows that, the setup of scale-energy spectrum and 3D energy spectrum plot by applying continuous wavelet transform is an efficient method for multi-source abnormal noise extraction for diesel engines, it can not only differentiate piston knock and piston pin knock visually and efficiently, but also can provide useful information to identity the fault level of them.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/eeeis-16.2017.54
ISSN
2352-5401
DOI
10.2991/eeeis-16.2017.54How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Zhou
AU  - Hui-Juan Feng
AU  - Shi-Jiu Jin
PY  - 2016/12
DA  - 2016/12
TI  - Research on fault feature extraction method of abnormal noise of diesel engine based on wavelet energy spectrum
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 429
EP  - 439
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.54
DO  - 10.2991/eeeis-16.2017.54
ID  - Zhou2016/12
ER  -