Generator Looseness Fault Diagnosis Based on Time-Frequency Analysis
Authors
Ting Li, Chen Liu, ChenDong Duan, Xia Qi
Corresponding Author
Ting Li
Available Online May 2016.
- DOI
- 10.2991/wartia-16.2016.4How to use a DOI?
- Keywords
- Frequency Slice Wavelet Transform, Looseness Fault, Feature Extraction
- Abstract
In order to extract looseness fault feature for a generator set, the paper introduces a new time-frequency analysis method, called frequency slice wavelet transform (FSWT). The time-frequency distribution of signal is firstly processed by the FSWT. Then some interesting regions on the FSWT time-frequency map are selected for further analysis. Based on zoom and refine analysis, fault features are finally extracted and separated. Experiment and engineering application research showed that this method is effective.
- Copyright
- © 2016, 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 - Ting Li AU - Chen Liu AU - ChenDong Duan AU - Xia Qi PY - 2016/05 DA - 2016/05 TI - Generator Looseness Fault Diagnosis Based on Time-Frequency Analysis BT - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications PB - Atlantis Press SP - 17 EP - 21 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-16.2016.4 DO - 10.2991/wartia-16.2016.4 ID - Li2016/05 ER -