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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Published in | Engineering failure analysis Vol. 118; p. 104856 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.12.2020
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Subjects | |
Online Access | Get full text |
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