Evolutionary wavelet denoising and its application to ball bearing fault diagnosis

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 46, Issue 15, 2010, Pages 76-81

  Zhang, Xian ^a   Wang, Hongli ^a  

^a ROCKET FORCE UNIVERSITY OF ENGINEERING   (China)

Author keywords

Ball bearing; Fault diagnosis; Particle swarm optimization; Signal denoising; Threshold estimation

Indexed keywords

BEARING FAULT; BEARING FAULT DIAGNOSIS; DE-NOISING; DECOMPOSITION LEVEL; ESTIMATION ERRORS; FAULT DIAGNOSIS; HARD THRESHOLDING; KEY FACTORS; NOISE REDUCTIONS; NUMERICAL EXPERIMENTS; OPTIMAL THRESHOLD; PARTICLE SWARM; SIGNAL DECOMPOSITION; SIGNAL DENOISING; SIMULATED SIGNALS; THRESHOLD ESTIMATION; WAVELET DENOISING; WAVELET DENOISING METHOD;

BALL BEARINGS; ESTIMATION; FEATURE EXTRACTION; NOISE POLLUTION CONTROL; PARTICLE SWARM OPTIMIZATION (PSO); SIGNAL TO NOISE RATIO; SPHERES; WAVELET DECOMPOSITION;

SIGNAL PROCESSING;

EID: 77956335964     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2010.15.076     Document Type: Article

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