Wavelet domain principal feature analysis for spindle health diagnosis

Structural Health Monitoring

Volumn 10, Issue 6, 2011, Pages 631-642

  Yan, Ruqiang ^a   Gao, Robert X ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

health diagnosis; principle feature analysis; wavelet packet transform

Indexed keywords

EXPERIMENTAL ANALYSIS; FEATURE ANALYSIS; HEALTH DIAGNOSIS; HEALTH MONITORING; HYBRID SIGNAL PROCESSING; SENSOR DATA; STATISTICAL PARAMETERS; TEST SYSTEMS; VIBRATION SIGNAL; WAVELET DOMAIN; WAVELET PACKET TRANSFORMS;

ADAPTIVE FILTERING; FEATURE EXTRACTION; FREQUENCY BANDS; HEALTH; SIGNAL PROCESSING; WAVELET TRANSFORMS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 80455129446     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921710395806     Document Type: Article

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