Wind turbine fault detection using multiwavelet denoising with the data-driven block threshold

Applied Acoustics

Volumn 77, Issue , 2014, Pages 122-129

  Sun, Hailiang ^a   Zi, Yanyang ^a   He, Zhengjia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Data driven block threshold; Fault detection; Multiwavelet denoising; Rolling element bearing; Wind turbine

Indexed keywords

DATA-DRIVEN BLOCK THRESHOLD; DE-NOISING; DE-NOISING TECHNIQUES; INCIPIENT FAULT DETECTION; MULTISCALING FUNCTIONS; OPERATION AND MAINTENANCE; ROLLING ELEMENT BEARING; UNBIASED RISK ESTIMATES;

BEARINGS (MACHINE PARTS); CONDITION MONITORING; FAULT DETECTION; MAINTENANCE; RISK PERCEPTION;

WIND TURBINES;

EID: 84890012235     PISSN: 0003682X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apacoust.2013.04.016     Document Type: Article

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