Wheel-bearing fault diagnosis of trains using empirical wavelet transform

Measurement: Journal of the International Measurement Confederation

Volumn 82, Issue , 2016, Pages 439-449

  Cao, Hongrui ^a   Fan, Fei ^a   Zhou, Kai ^a   He, Zhengjia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Empirical wavelet transform; Faults diagnosis; Vibration signal; Wheel bearing

Indexed keywords

BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; ROLLER BEARINGS; SIGNAL ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; VIBRATION ANALYSIS; VIBRATIONS (MECHANICAL); WAVELET DECOMPOSITION; WAVELET TRANSFORMS; WHEELS;

EMPIRICAL MODE DECOMPOSITION; FAULTS DIAGNOSIS; NON-STATIONARY VIBRATION SIGNALS; ROLLING ELEMENT BEARING; SIMULATED SIGNALS; VIBRATION SIGNAL; VIBRATION SIGNAL ANALYSIS; WHEEL BEARINGS;

FAULT DETECTION;

EID: 84955454557     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2016.01.023     Document Type: Article

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