An approach based on wavelet packet decomposition and HilbertHuang transform (WPDHHT) for spindle bearings condition monitoring

Mechanical Systems and Signal Processing

Volumn 33, Issue , 2012, Pages 197-211

  Law, Leh Sung ^a   Kim, Jong Hyun ^a   Liew, Willey Y H ^b   Lee, Sun Kyu ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

^b UNIVERSITI MALAYSIA SABAH   (Malaysia)

Author keywords

Acoustic emission; Bearings; Condition monitoring; HilbertHuang transform; Spindle; Wavelet packet decomposition

Indexed keywords

ACCELERATION DATA; ACOUSTIC EMISSION SIGNAL; GOOD CORRELATIONS; HILBERT; HILBERT HUANG TRANSFORMS; MONITORING TECHNIQUES; NONLINEAR AND NON-STATIONARY SIGNALS; PRE LOADS; RADIAL ERROR MOTION; RUNNING CONDITIONS; SPINDLE; SPINDLE BEARING; SPINDLE SYSTEMS; TEMPERATURE INCREASE; WAVELET PACKET DECOMPOSITION;

ACOUSTIC EMISSION TESTING; ACOUSTIC EMISSIONS; BEARINGS (STRUCTURAL); CONDITION MONITORING; WAVELET ANALYSIS;

MATHEMATICAL TRANSFORMATIONS;

EID: 84865651011     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.06.004     Document Type: Article

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