Open AccessWind Turbine Drivetrain Expert Fault Detection System: Multivariate Empirical Mode Decomposition based Multi-sensor Fusion with Bayesian Learning Classification
Author(s) -
R. Maheswari,
R. Umamaheswari
Publication year - 2020
Publication title -
intelligent automation and soft computing/intelligent automation and soft computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.271
H-Index - 27
eISSN - 2326-005X
pISSN - 1079-8587
DOI - 10.32604/iasc.2020.013924
Subject(s) - computer science , drivetrain , fault detection and isolation , artificial intelligence , turbine , hilbert–huang transform , naive bayes classifier , wind power , instantaneous phase , pattern recognition (psychology) , condition monitoring , accelerometer , support vector machine , torque , white noise , engineering , computer vision , physics , filter (signal processing) , actuator , thermodynamics , operating system , mechanical engineering , telecommunications , electrical engineering