Design of Electromechanical Temperature early warning system based on BP neural network

DOI

10.2991/icmeis-15.2015.18How to use a DOI?

Keywords

Electromechanical; Temperature early warning; Equipments Secure Management;BP neural network

Abstract

For the current situation that the coal mine accidents occurred frequently, especially the fact that most major accidents ware caused by electromechanical fires, this paper analyses the cause of the accident caused by electromechanical, proposes the temperature monitoring and early warning management system based on the BP neural network. Accordance the property of BP neural network can approximate any nonlinear function to analysis data effectively. This system can provide comprehensive, timely and accurate monitoring for the electromechanical, and predict the state of device temperature in a certain time to preventing accidents. At the same time, it can provide reliable and effective decision support for the security management work.

Copyright

© 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/).

Download article (PDF)

TY  - CONF
AU  - Sheng Jun
PY  - 2015/08
DA  - 2015/08
TI  - Design of Electromechanical Temperature early warning system based on BP neural network
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 80
EP  - 83
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.18
DO  - 10.2991/icmeis-15.2015.18
ID  - Jun2015/08
ER  -