Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method

Mechanical Systems and Signal Processing

Volumn 25, Issue 7, 2011, Pages 2631-2653

  Žvokelj, Matej ^a   Zupan, Samo ^a   Prebil, Ivan ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Acoustic emission; Ensemble Empirical Mode Decomposition; Kernel Principal Component Analysis; Large size low speed bearing; Vibration

Indexed keywords

ACOUSTIC EMISSION SIGNAL; BEARING FAULT DETECTION; BEARING TESTS; DE-NOSING; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ILLUSTRATIVE EXAMPLES; ITS EFFICIENCIES; KERNEL PRINCIPAL COMPONENT ANALYSIS; LARGE SIZES; MULTI-SCALE SYSTEM; MULTISCALES; MULTIVARIATE MONITORING; NON-LINEAR; SIGNAL DENOISING; STATISTICAL PROCESS MONITORING; TIME-FREQUENCY PLANES; WIDE DYNAMIC RANGE;

ACOUSTIC EMISSION TESTING; ACOUSTIC EMISSIONS; BEARINGS (STRUCTURAL); FAULT DETECTION; LINEAR SYSTEMS; NOISE POLLUTION CONTROL; PROCESS MONITORING; SIGNAL PROCESSING; STATISTICAL PROCESS CONTROL;

PRINCIPAL COMPONENT ANALYSIS;

EID: 79960045420     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.03.002     Document Type: Article

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