Real-Time Monitoring of Unmanned Substation Based on Audio Recognition
- 10.2991/icmmita-15.2015.272How to use a DOI?
- Audio recognition; real-time monitoring; failure recognition; unmanned substation.
To make the unmanned power substation perform independently and efficiently, the theory and structure of a real-time monitoring system based on audio recognition is introduced in this paper. It focuses on the monitoring and identification process of audio data. Firstly the audio signal of substation is acquired by system using sensors. Then multi-audio data is transmitted to monitoring host. After spectrum analysis and process, MFCC feature parameters are extracted as signal features. Feature parameters are inputted into sinusoidal neural network for identification which can identify the operating status and type of failure efficiently and precisely. Numerical results illustrate that this method improves the traditional manual monitoring method and significantly increases the efficiency of device detection.
- © 2015, 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 - Wenming Cao AU - Erqian Tang AU - Guanzheng Tan PY - 2015/11 DA - 2015/11 TI - Real-Time Monitoring of Unmanned Substation Based on Audio Recognition BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1475 EP - 1483 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.272 DO - 10.2991/icmmita-15.2015.272 ID - Cao2015/11 ER -