A novel signal compression method based on optimal ensemble empirical mode decomposition for bearing vibration signals

Journal of Sound and Vibration

Volumn 332, Issue 2, 2013, Pages 423-441

  Guo, Wei ^a   Tse, Peter W ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BEARING DEFECT; BEARING FAULT; BEARING FAULT DIAGNOSIS; COMPRESSION METHODS; DATA SAMPLE; DECOMPOSITION PERFORMANCE; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FAULT IDENTIFICATIONS; INTRINSIC MODE FUNCTIONS; NOISE LEVELS; OPTIMAL ENSEMBLE; OPTIMAL LEVEL; OPTIMIZATION METHOD; REMOTE MACHINES; REMOTE MAINTENANCE; ROOT-MEAN SQUARE ERRORS; ROTATING MACHINE; SIGNAL COMPONENTS; SIGNAL COMPRESSION; TRANSMITTED SIGNAL; VIBRATION DATA; VIBRATION SIGNAL; WAVELET COMPRESSION; WIRELESS COMMUNICATIONS;

CONDITION MONITORING; DECOMPOSITION; OPTIMIZATION; SIGNAL PROCESSING; WHITE NOISE; WIRELESS TELECOMMUNICATION SYSTEMS;

DATA COMPRESSION;

EID: 84867674014     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2012.08.017     Document Type: Article

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