Classification of fault location and performance degradation of a roller bearing

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 3, 2013, Pages 1178-1189

  Zhang, Ying ^a   Zuo, Hongfu ^a   Bai, Fang ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Ensemble empirical mode decomposition; Fault diagnosis; Feature extraction; Kernel principal component analysis; Support vector machine

Indexed keywords

ELECTRIC FAULT LOCATION; FAILURE ANALYSIS; FEATURE EXTRACTION; PARTICLE SWARM OPTIMIZATION (PSO); PRINCIPAL COMPONENT ANALYSIS; ROLLER BEARINGS; VECTOR SPACES;

AR MODELS; DOWN TIME; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSIS METHOD; FEATURE VECTORS; FREQUENCY DOMAINS; HIGHER-DIMENSIONAL; KERNEL PRINCIPAL COMPONENT; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MULTIPLE FEATURES; PARTICLE SWARM; PERFORMANCE DEGRADATION; PERFORMANCE DEGRADATION ASSESSMENT; SINGULAR VALUES; TIME DOMAIN; VECTOR MACHINES; VIBRATION SIGNAL;

SUPPORT VECTOR MACHINES;

EID: 84871707343     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.11.025     Document Type: Article

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