Proceedings of the 2012 National Conference on Information Technology and Computer Science

Study on the Fault Diagnosis for Scroll Compressor Based on Information Entropy

Authors
Tao Liu, Zai xin Wu, Yong wei Wang
Corresponding Author
Tao Liu
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.201How to use a DOI?
Keywords
scroll compressor; information entropy; grey incidence degrees; fault diagnosis
Abstract
In order to make a quantitative description for the running status of the scroll compressor, a fault diagnosis method combined with the theory of entropy and grey incidence degrees in information theory is set up. Based on singular spectrum entropy in time domain, power spectrum entropy in frequency domain, wavelet power spectrum entropy and wavelet space feature spectrum entropy in time-frequency domain, the method is used as the comprehensive indicator to evaluate of the vibration status of scroll compressors. An example proves that the method is effective and can be used to identify several kinds of fault state of scroll compressor successfully.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.201How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tao Liu
AU  - Zai xin Wu
AU  - Yong wei Wang
PY  - 2012/11
DA  - 2012/11
TI  - Study on the Fault Diagnosis for Scroll Compressor Based on Information Entropy
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 793
EP  - 796
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.201
DO  - https://doi.org/10.2991/citcs.2012.201
ID  - Liu2012/11
ER  -