The use of ensemble empirical mode decomposition to improve bispectral analysis for fault detection in rotating machinery

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 224, Issue 8, 2010, Pages 1759-1769

  Lei, Y ^a   Zuo, M J ^a   Hoseini, M ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

ensemble empirical mode decomposition; fault detection; rotating machinery; weighted reconstruction algorithm, bispectrum

Indexed keywords

BI-SPECTRAL ANALYSIS; BISPECTRUM; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS; JOINT METHOD; PHASE COUPLING; PHYSICAL EXPERIMENTS; RECONSTRUCTION ALGORITHMS; SIGNAL CHARACTERISTIC; SIMULATION EXPERIMENTS; THIRD-ORDER; VIBRATION SIGNAL; WEIGHTED RECONSTRUCTION ALGORITHM, BISPECTRUM;

ALGORITHMS; FAULT DETECTION; POWER QUALITY; REPAIR; ROTATING MACHINERY; ROTATION;

SIGNAL DETECTION;

EID: 77955828738     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544062JMES1827     Document Type: Article

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