Multifactorial condition assessment for power transformers
Author:
Affiliation:
1. School of electrical and information engineeringLight Industry of Zhengzhou UniversityDongfeng Road No. 5ZhengzhouPeople's Republic of China
2. State Grid Jiangxi Electric Power Research InstituteNanchangPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2019.0727
Reference36 articles.
1. An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning
2. Calculation of a Health Index for Oil-Immersed Transformers Rated Under 69 kV Using Fuzzy Logic
3. Power transformers monitoring based on electrical measurements: state of the art
4. Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network
5. Integrated ANN-based proactive fault diagnostic scheme for power transformers using dissolved gas analysis
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