Nonlocal sparse model with adaptive structural clustering for feature extraction of aero-engine bearings

Journal of Sound and Vibration

Volumn 368, Issue , 2016, Pages 223-248

  Zhang, Han ^a   Chen, Xuefeng ^a   Du, Zhaohui ^a   Li, Xiang ^a   Yan, Ruqiang ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT ENGINES; ELECTRIC FAULT CURRENTS; ENGINES; EXTRACTION; FAULT DETECTION; FEATURE EXTRACTION; FIGHTER AIRCRAFT; FREQUENCY BANDS; NEAREST NEIGHBOR SEARCH; NUMERICAL METHODS; OPTIMIZATION;

BEARING FAULT DIAGNOSIS; BLOCK COORDINATE DESCENTS; K NEAREST NEIGHBOR (KNN); NUMERICAL EXPERIMENTS; PERFORMANCE DEGRADATION; REGULARIZATION PARAMETERS; SPARSE REPRESENTATION; STATE-OF-THE-ART METHODS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84957795289     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2016.01.017     Document Type: Article

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