Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

Study on the Technology of Equipment State Monitoring and Intelligent Evaluation

Authors
Xiangcai Zhu, Jian Xu
Corresponding Author
Xiangcai Zhu
Available Online September 2016.
DOI
10.2991/icence-16.2016.19How to use a DOI?
Keywords
Equipment state, Comprehensive detection, Intelligent evaluation.
Abstract

This paper studies the key technology of the equipment monitoring and intelligent evaluation: the anomaly detection equipment status, the data are processed with Grab J; the transmission of high-definition images and video mode to realize the state matching, using radial basis function neural network and least square method, further processing of data; realize the intelligent evaluation method of equipment state using fault tree analysis, provides a reliable basis for improving equipment performance. The research results of this project will provide theoretical basis and technical application is important for the evaluation of comprehensive detection and intelligent electrical equipment.

Copyright
© 2016, 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/).

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Volume Title
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
10.2991/icence-16.2016.19How to use a DOI?
Copyright
© 2016, 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  - Xiangcai Zhu
AU  - Jian Xu
PY  - 2016/09
DA  - 2016/09
TI  - Study on the Technology of Equipment State Monitoring and Intelligent Evaluation
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 91
EP  - 95
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.19
DO  - 10.2991/icence-16.2016.19
ID  - Zhu2016/09
ER  -