2022
DOI: 10.1109/access.2022.3159711
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Thyristor State Evaluation Method Based on Kernel Principal Component Analysis

Abstract: The reliability of the thyristor is directly related to the safe operation of the DC transmission system. A method for evaluating the state of thyristors based on kernel principal component analysis (KPCA) is proposed, which firstly considers the thyristor test data, operation records, maintenance history, appearance inspection information, states of other components and operating environment. A basic index system for evaluating the aging state of thyristor with 42 parameters is established. Next, a mathematic… Show more

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Cited by 2 publications
(1 citation statement)
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“…Recently, there are two main categories of methods for determining weights, qualitative analysis including analytic hierarchy process (AHP) [16][17][18][19] and quantitative analysis including fuzzy cluster analysis 20 , entropy weight method (EWM) [21][22][23] , and index weight determination method based on principal component analysis 24 , etc. Fuzzy clustering is suitable for clustering large-scale data by calculating the uncertainty degree of samples belonging to various categories and performing clustering analysis.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, there are two main categories of methods for determining weights, qualitative analysis including analytic hierarchy process (AHP) [16][17][18][19] and quantitative analysis including fuzzy cluster analysis 20 , entropy weight method (EWM) [21][22][23] , and index weight determination method based on principal component analysis 24 , etc. Fuzzy clustering is suitable for clustering large-scale data by calculating the uncertainty degree of samples belonging to various categories and performing clustering analysis.…”
Section: Related Workmentioning
confidence: 99%