Current-based online bearing fault diagnosis for direct-drive wind turbines via spectrum analysis and impulse detection

PEMWA 2012 - 2012 IEEE Power Electronics and Machines in Wind Applications

Volumn , Issue , 2012, Pages

  Gong, Xiang ^a   Qiao, Wei ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Bearing fault; current measurement; direct drive wind turbine; fault diagnosis; impulse detection; median filter; power spectral density (PSD) analysis

Indexed keywords

BEARING FAULT; BEARING FAULT DIAGNOSIS; BEARING FAULT SIGNATURE; CHARACTERISTIC FREQUENCIES; DIRECT DRIVE; ECONOMIC ADVANTAGES; FAULT DIAGNOSIS TECHNIQUE; FAULT SIGNATURE; FILTER-BASED; IMPULSE DETECTION; MAINTENANCE COST; NON-INTRUSIVE; ON-LINE FAULT DIAGNOSIS; PHYSICAL CONDITIONS; POWER SPECTRAL DENSITIES (PSD); VARIABLE SPEED;

ELECTRIC CURRENT MEASUREMENT; FAILURE ANALYSIS; MAINTENANCE; MEDIAN FILTERS; POWER ELECTRONICS; POWER SPECTRAL DENSITY; SPECTRUM ANALYSIS; WIND TURBINES;

ELECTRIC FAULT CURRENTS;

EID: 84869022829     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PEMWA.2012.6316398     Document Type: Conference Paper

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