Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy

Renewable Energy

Volumn 116, Issue , 2018, Pages 74-87

  Peeters, Cédric ^a   Guillaume, Patrick ^a   Helsen, Jan ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

Bearing fault; Cepstrum; Deterministic random separation; Editing; Whitening

Indexed keywords

CONDITION MONITORING; COST REDUCTION; MAINTENANCE; ROLLER BEARINGS; SEPARATION; STOCHASTIC SYSTEMS; WIND POWER; WIND TURBINES;

BEARING FAULT; BEARING FAULT DETECTION; CEPSTRUM; EDITING; NATIONAL RENEWABLE ENERGY LABORATORY; OPERATIONS AND MAINTENANCE; ROLLING ELEMENT BEARING; WHITENING;

FAULT DETECTION;

COST ANALYSIS; ELECTRICITY GENERATION; OPERATIONS TECHNOLOGY; RENEWABLE RESOURCE; SEPARATION; SIGNAL; SPECTRUM; VIBRATION; WIND POWER; WIND TURBINE;

EID: 85011017862     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2017.01.056     Document Type: Article

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