Rolling bearing fault detection based on SVD denoising and STFT demodulation method

Zhongguo Tiedao Kexue/China Railway Science

Volumn 29, Issue 3, 2008, Pages 95-100

  Hu, Xiaoyi ^a   He, Qingfu ^a   Wang, Huasheng ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b CHINA ACADEMY OF RAILWAY SCIENCES CORPORATION LIMITED   (China)

Author keywords

Bearing; Demodulation; Denosing; Fault detection; STFT; SVD

Indexed keywords

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DEMODULATION; ELECTRIC FAULT LOCATION; FEATURE EXTRACTION; OPTICAL VARIABLES MEASUREMENT; SIGNAL ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION; SPECTRUM ANALYZERS; TIME SERIES ANALYSIS;

ANALYSIS RESULTS; AUTOMATIC DETECTION; BEARING; BEARING FAULT DETECTION; BEARING FAULTS; DE-NOISING; DEMODULATION METHOD; DEMODULATION TECHNIQUES; DENOSING; DETECTION METHODS; FAULT INFORMATION; ROLLING BEARINGS; STFT; SVD; TIME-SERIES; TRAJECTORY MATRIX; VIBRATION SIGNALS;

FAULT DETECTION;

EID: 45949106347     PISSN: 10014632     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

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