Usability evaluation technology for On-line monitoring device of dissolved gases based on data trend consistency analysis
Usability evaluation technology for On-line monitoring device of dissolved gases based on data trend consistency analysis
- Author(s): Y. Zheng 1 ; W. Wang 1 ; Y. Zhu 2 ; R. Han 1 ; Y. Li 3 ; Z. Yang 1
- DOI: 10.1049/icp.2020.0045
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- Author(s): Y. Zheng 1 ; W. Wang 1 ; Y. Zhu 2 ; R. Han 1 ; Y. Li 3 ; Z. Yang 1
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View affiliations
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Affiliations:
1:
State Grid Zhejiang Electric Power Research Institute , Hangzhou , China ;
2: State Grid Zhejiang Electric Power Corporation , Hangzhou , China ;
3: Hangzhou Kunhe Zhiyun Technology Co., Ltd , Hangzhou , China
Source:
The 16th IET International Conference on AC and DC Power Transmission (ACDC 2020),
2021
p.
2011 – 2014
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Affiliations:
1:
State Grid Zhejiang Electric Power Research Institute , Hangzhou , China ;
- Conference: The 16th IET International Conference on AC and DC Power Transmission (ACDC 2020)
- DOI: 10.1049/icp.2020.0045
- ISBN: 978-1-83953-330-3
- Location: Online Conference
- Conference date: 02-03 July 2020
- Format: PDF
The online monitoring device of power equipment can realize the real-time monitoring of the equipment, and the accuracy of its data will have a direct impact on the adjustment of the subsequent operation and maintenance strategy. Therefore, it is necessary to evaluate the usability of online monitoring devices. In this paper, a method of on-line monitoring device usability is proposed based on the transformer operation state. Based on the theory of signal decomposition, the systematic trend, random fluctuation and large jump of on-line data are separated from the original data. The error of on-line monitoring data is creatively divided into three parts: huge error, random error and systematic error. The errors are quantized and evaluated. Finally, the usability of on-line transformer monitoring device is obtained by synthesizing three kinds of errors evaluation. This method has a good effect in evaluating the overall or single usability of the on-line monitoring devices.
Inspec keywords: condition monitoring; computerised monitoring; power engineering computing; fault diagnosis; maintenance engineering
Subjects: Computerised instrumentation; Computerised instrumentation; Plant engineering, maintenance and safety; Transformers and reactors; Power engineering computing