Compressed sparse time-frequency feature representation via compressive sensing and its applications in fault diagnosis

Measurement: Journal of the International Measurement Confederation

Volumn 68, Issue , 2015, Pages 70-81

  Wang, Yanxue ^a   Xiang, Jiawei ^b   Mo, Qiuyun ^a   He, Shuilong ^a  

^a GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

^b WENZHOU UNIVERSITY   (China)

Author keywords

Compressive sensing; Feature detection; Sparse; Time frequency representation

Indexed keywords

COMPRESSED SENSING; CONDITION MONITORING; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; ROTATING MACHINERY; SIGNAL ANALYSIS; SIGNAL RECONSTRUCTION; TIME VARYING NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

COMPRESSIVE SENSING; DECOMPOSITION ALGORITHM; FEATURE DETECTION; REMOTE HEALTH MONITORING; SPARSE; TIME FREQUENCY FEATURES; TIME FREQUENCY INFORMATION; TIME-FREQUENCY REPRESENTATIONS;

FAULT DETECTION;

EID: 84924700075     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2015.02.046     Document Type: Article

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