NDLI: Multifactorial condition assessment for power transformers

Content Provider	IET Digital Library
Author	Zhou, Lintao Hu, Tao
Abstract	Accurately assessing the health condition of the power transformer is critical to improving the operational reliability of power systems. Although great efforts to improve the accuracy of transformer fault diagnosis, accurate detection of multiple latent faults is still a difficult problem. Therefore, a multifactorial condition assessment method based on fuzzy sets and factor space is proposed. Different from the previous diagnosis methods that only provide a single-valued result, the proposed method can display the influence degree of various variables on the condition assessment result, which indirectly indicates the cause and location of faults that occur in a transformer. In the proposed method, the type-2 fuzzy set is used to describe the evaluation of various test values and the multifactorial condition assessment model based on factor space is applied to integrate the condition information. A modified analytic hierarchy process method is developed to estimate the relative importance of attributes. This method can distinctly indicate multiple probable latent faults of the transformer and help engineers quickly determine the cause and location of faults, which is helpful to improve the accuracy of diagnosis and the efficiency of transformer maintenance. The effectiveness of this method is verified with case studies.
Starting Page	1607
Ending Page	1615
Page Count	9
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 9, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0727
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-01-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analytic Hierarchy Process Analytic Hierarchy Process Method Combinatorial Mathematics Condition Monitoring Factor Space Fault Diagnosis Fault Location Fuzzy Set Theory Fuzzy Sets Game Theory Health Condition Maintenance Engineering Multifactorial Condition Assessment Model Multiple Latent Fault Power System Reliability Power Transformer Reliability Transformer And Reactors Transformer Maintenance
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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