Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

An Infrared Detection Method Used In Electrical Equipment Fault Diagnosis

Authors
Feng Li, Jianfeng Li, Yu Meng, Rui Tong, Ren Liu, Bo Zu, Wei Liu, Lin Liu, Zhaoxia Wang, Xingjun Cheng, Guorui Chen
Corresponding Author
Feng Li
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.287How to use a DOI?
Keywords
Electrical equipment; Infrared; Temperature; Diagnosis; Accuracy
Abstract
In order to improve the fault detection and diagnosis infrared effect, describes the fault type infrared detection equipment; analysis of the factors affecting the accuracy of the temperature measurement; analysis approach proposed in addition to proper use, it also must be on a variety of factors that affect the test results adequately estimate and expected to find the temperature focused, analytical equipment thermal state changes, timely, accurate knowledge of the internal device, external heating, ensure safety equipment, stable operation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.287How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Feng Li
AU  - Jianfeng Li
AU  - Yu Meng
AU  - Rui Tong
AU  - Ren Liu
AU  - Bo Zu
AU  - Wei Liu
AU  - Lin Liu
AU  - Zhaoxia Wang
AU  - Xingjun Cheng
AU  - Guorui Chen
PY  - 2016/03
DA  - 2016/03
TI  - An Infrared Detection Method Used In Electrical Equipment Fault Diagnosis
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1446
EP  - 1449
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.287
DO  - https://doi.org/10.2991/icmmct-16.2016.287
ID  - Li2016/03
ER  -