Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

The emulsifier fault early warning on BP neural network theory

Authors
Yuesheng Wang, Kangjian Lu
Corresponding Author
Yuesheng Wang
Available Online November 2015.
DOI
10.2991/icmmita-15.2015.343How to use a DOI?
Keywords
emulsifier; fault warning; BP neural network
Abstract

Emulsifier is the key equipment in the production of emulsion explosive. The condition of the emulsifier is very important to the production safety of the emulsion explosive. The paper focuses on emulsifier fault warning in the production of emulsion explosive. Now the emulsifier fault warning is based on the threshold. That method can not warn fault timely. The paper proposes a fault early warning method which is on the BP neural network. The neural network model is established by the method. The condition of the emulsifier which is important to the production safety can be predicted through the model. According to the simulation example, the model can predict the conduction of the emulsifier well.

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)

Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/icmmita-15.2015.343
ISSN
2352-538X
DOI
10.2991/icmmita-15.2015.343How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yuesheng Wang
AU  - Kangjian Lu
PY  - 2015/11
DA  - 2015/11
TI  - The emulsifier fault early warning on BP neural network theory
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1836
EP  - 1839
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.343
DO  - 10.2991/icmmita-15.2015.343
ID  - Wang2015/11
ER  -