Wavelet Transformation Application on Accommodation Equipments' Fault Diagnosis
Baoji YUAN, Yanfeng WU, Weining LI
Available Online July 2017.
- 10.2991/eia-17.2017.63How to use a DOI?
- fault diagnosis; wavelet analysis; equipment abnormal observation; collective control system
The submarine aircraft has several accommodation electrical equipments that have varieties of failure modes. The centralized control system includes accommodation electric network equipments' fault diagnosis and exception handling, so it is very important. With accommodation electric network scale expanding, the traditional fault processing way based on artificial experiences is kittle. Advanced fault identification and processing methods have been proposed to realize on-line fault processing with more fault data. The wavelet analysis is conductive to raise the fault processing working and shorten the deal time.
- © 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 - Baoji YUAN AU - Yanfeng WU AU - Weining LI PY - 2017/07 DA - 2017/07 TI - Wavelet Transformation Application on Accommodation Equipments' Fault Diagnosis BT - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017) PB - Atlantis Press SP - 290 EP - 293 SN - 1951-6851 UR - https://doi.org/10.2991/eia-17.2017.63 DO - 10.2991/eia-17.2017.63 ID - YUAN2017/07 ER -