De-noising mechanical signals by hybrid thresholding

Proceedings of the 2005 IEEE International Workshop on Robotic Sensors: Robotic and Sensor Environments, ROSE 2005

Volumn 2005, Issue , 2005, Pages 65-70

  Hoonbin, Hong ^a   Ming, Liang ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Fault detection; Hybrid thresholding; Wavelet de noising

Indexed keywords

COMPUTER SIMULATION; FEATURE EXTRACTION; GAUSSIAN NOISE (ELECTRONIC); MEASUREMENT ERRORS; WHITE NOISE;

FAULT DETECTION; MEAN SQUARED ERROR (MSE); WAVELET DENOISING; WHITE GAUSSIAN NOISE;

NOISE ABATEMENT;

EID: 33847067896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROSE.2005.1588338     Document Type: Conference Paper

References (4)

1. Donoho, D. (1995). "De-noising by soft-thresholding". IEEE Transaction Information Theory, 41(3):613-627.
2. Tse, P., Peng, Y., and Yam, R. (2001). "Wavelet analysis and envelope detection for rolling element bearing fault diagnosis - their effectiveness and flexibilities". Transactions of ASME, Journal of Vibration and Acoustics, 123:303-310.
3. Harris, C. and Piersol, A. (2002). "Harris' shock and vibration handbook", McGraw-Hill, 5th edition.
4. Case Western Reserve University, http://www.eecs.cwru.edu/laboratory/ bearing/welcome_overview.htm.