Locally linear embedding on grassmann manifold for performance degradation assessment of bearings

IEEE Transactions on Reliability

Volumn 66, Issue 2, 2017, Pages 467-477

  Ma, Meng ^a   Chen, Xuefeng ^a   Zhang, Xiaoli ^b   Ding, Baoqing ^a   Wang, Shibin ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CHANG'AN UNIVERSITY   (China)

Author keywords

Degradation assessment; Grassmann manifold; Locally linear embedding (lle); Prognostics and health management (phm); Subspace model

Indexed keywords

FREQUENCY BANDS;

BEARING PERFORMANCE; LOCALLY LINEAR EMBEDDING; NON-STATIONARY PROPERTIES; PERFORMANCE DEGRADATION ASSESSMENT; PROGNOSTIC AND HEALTH MANAGEMENT; REPRODUCING KERNEL HILBERT SPACES; SECOND GENERATION WAVELET; STATISTICAL FEATURES;

SIGNAL PROCESSING;

EID: 85019021465     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2017.2691730     Document Type: Article

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