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FAULT DIAGNOSIS OF WIND POWER MACHINERY IN THE CONTEXT OF BIG DATA AND ARTIFICIAL INTELLIGENCE
Publication year - 2021
Publication title -
international journal of mechatronics and applied mechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.108
H-Index - 4
eISSN - 2559-4400
pISSN - 2559-4397
DOI - 10.17683/ijomam/issue10/v2.11
Subject(s) - context (archaeology) , fault (geology) , wind power , big data , power (physics) , artificial intelligence , computer science , reliability engineering , engineering , data mining , electrical engineering , history , geology , seismology , physics , archaeology , quantum mechanics

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