Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Health Diagnosis Method of Power Distribution Equipment Based on Holographic Time-scalar Measurement Data

Authors
Bing Chen, Ren Wang, Yang Zhou, Chenhui Peng
Corresponding Author
Bing Chen
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.32How to use a DOI?
Keywords
Holographic time-scalar measurement data, Realtime database, Deep integration, State diagnosis, Linear regression, Entropy method
Abstract
With the continuous expansion of the distribution network, resulting in a large amount of running data. The integration of Realtime Database and distribution network system make it prossible to record distribution holographic scalar measurement data. This paper studied the deep integration of Realtime Database and distribution network system. On the basis of integration, we studied health diagnosis method of power distribution equipment and we carry out in-depth data mining on the distribution history data and model information. The equipment state diagnosis model and the evaluation system are established by cluster analysis, linear regression algorithm and entropy method, and the equipment fault assessment and early warning analysis are realized. The weak links in distribution network can be found in time to ensure the safe and stable operation of the distribution equipment.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.32How 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  - Bing Chen
AU  - Ren Wang
AU  - Yang Zhou
AU  - Chenhui Peng
PY  - 2016/06
DA  - 2016/06
TI  - Health Diagnosis Method of Power Distribution Equipment Based on Holographic Time-scalar Measurement Data
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.32
DO  - https://doi.org/10.2991/mecs-17.2017.32
ID  - Chen2016/06
ER  -