| Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 6 | |
| Section | Session V: Intelligent Sensing Technology | |
| DOI | https://doi.org/10.1051/itmconf/20171105003 | |
| Published online | 23 May 2017 | |
Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
1 Guizhou Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, 550002, Guizhou, China
2 Wuhan Zhongyuan Huadian Science & Technology Co., Ltd, Wuhan 430074, China
a Corresponding author: 1205954738@qq.com
This paper presents a multi-sensor information fusion technology based on electrical system fault diagnosis model, analysis the multi-sensor information fusion technology of several structure layer and realization method, and discusses its application in fault diagnosis of electrical system. Select and implement appropriate methods for the information fusion, the different error characteristic parameters in electrical system can be fused and calculated by this model, and a more valuable conclusion for the fault diagnosis of electrical system can be provided.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.