Roller bearing fault detection using improved envelope spectrum analysis based on EMD and spectrum kurtosis

Zhendong yu Chongji/Journal of Vibration and Shock

Volumn 30, Issue 2, 2011, Pages

  Cai, Yan Ping ^a   Li, Ai Hua ^a   Shi, Lin Suo ^a   Bai, Xiang Feng ^a   Shen, Jin Wei ^a  

^a ROCKET FORCE UNIVERSITY OF ENGINEERING   (China)

Author keywords

Empirical mode decomposition (EMD); Envelope spectrum; Fault diagnosis; Roller bearing; Spectrum kurtosis (SK)

Indexed keywords

ABSOLUTE VALUES; ANALYSIS RESULTS; BEST FREQUENCY; EMPIRICAL MODE DECOMPOSITION; ENVELOPE ANALYSIS; ENVELOPE SPECTRA; FAULT DIAGNOSIS; FILTERING FUNCTIONS; FINITE NUMBER; INTRINSIC MODE FUNCTIONS; MODULATION CHARACTERISTICS; ROLLER BEARING FAULT; SIMULATED SIGNALS; SPECTRAL SIGNAL; SPECTRUM KURTOSIS (SK); VIBRATION SIGNAL;

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); FAULT DETECTION; FREQUENCY BANDS; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS); SIGNAL PROCESSING; VIBRATION ANALYSIS;

SPECTRUM ANALYSIS;

EID: 79953824577     PISSN: 10003835     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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