Root cause analysis for inverters in solar photo-voltaic plants

•Novel framework for autonomous root cause fault analysis.•There is no need for a priori process knowledge and expert intervention.•Root cause analysis based on 65,000 inverters, 10,273,928 millions of data structured•Random committee and Logistic Model Tree algorithms has 99.21% accuracy. This rese...

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Bibliographic Details
Published inEngineering failure analysis Vol. 118; p. 104856
Main Author Arias Velásquez, Ricardo Manuel
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2020
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