Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Fault Diagnosis of Diesel Engine Oil Pump based on Vibration Signal Processing

Authors
Xia Feng
Corresponding Author
Xia Feng
Available Online May 2017.
DOI
10.2991/msmee-17.2017.324How to use a DOI?
Keywords
diesel engine; oil pump; fault diagnosis; vibration signal
Abstract

Vibration tests on a diesel engine were done in the idling condition, and through the analysis of the test data, the faulty part was determined. Due to the vibration transfer characteristics, the vibration characteristics of the engine oil pump body were analyzed, and the fault related to the oil pump was further determined. Vibration tests were respectively carried out on the faulty engine and fault-free engine, the test signals were compared and analyzed, and thus, the existing fault of the oil pump was determined through the study of signal data. Based on wavelet denoising and frequency spectrum analysis of vibration signals, the common features of such fault are summarized, and the reasons for the fault are successfully diagnosed.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.324
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.324How 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  - Xia Feng
PY  - 2017/05
DA  - 2017/05
TI  - Fault Diagnosis of Diesel Engine Oil Pump based on Vibration Signal Processing
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1778
EP  - 1783
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.324
DO  - 10.2991/msmee-17.2017.324
ID  - Feng2017/05
ER  -