Hybrid data mining techniques for performance monitoring of wind turbine systems
dc.contributor.author | A, Agasthian | |
dc.date.accessioned | 2022-02-04T07:23:14Z | |
dc.date.available | 2022-02-04T07:23:14Z | |
dc.date.issued | 2022-01 | |
dc.identifier.uri | http://hdl.handle.net/123456789/2205 | |
dc.language.iso | en | en_US |
dc.publisher | Indian Institute of Technology (Indian School of Mines) Dhanbad | en_US |
dc.subject | Wind turbine | en_US |
dc.subject | Deep Recurrent Neural Network | en_US |
dc.subject | Fault diagnosis | en_US |
dc.subject | Infomax Independent Component Analysis | en_US |
dc.subject | Map Reduce algorithm | en_US |
dc.subject | Long-short term memory | en_US |
dc.subject | Ph.D | en_US |
dc.subject | CSE | en_US |
dc.subject | PH1945 | en_US |
dc.title | Hybrid data mining techniques for performance monitoring of wind turbine systems | en_US |
dc.type | Thesis | en_US |
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