Study of hand-arm transmitted impulsive vibrations using analytic wavelet transform.
Song-WJ; Kim-J; Welcome-DE; Dong-RG; Hayden-C
Inter-Noise 2006. The 35th International Congress and Exposition on Noise Control Engineering, December 3-6, 2006, Honolulu, Hawaii. West Lafayette, IN: International Institute of Noise Control Engineering, 2007 Aug; 5:2884-2893
Current guidelines to assess health risk of hand-arm vibration are based on the frequency weighted rms acceleration level, therefore do not fully consider the effect of temporal variations of the spectral energy. As the time averaging effect involved with the frequency analysis may severely underestimate the risk of impact tools, a time-frequency (T-F) analysis is necessary to characterize such highly transient signals whose spectral characteristics change rapidly in time. The analytic wavelet transform (A WT) is an ideal T-F analysis tool as it is a wavelet transform that works like a transient Fourier transform. The AWT is applied to acceleration signals measured from six tools, five impact and one relatively steady tools, to find possible improvements of the current risk assessment method of hand-arm vibration exposure. Some new concepts are proposed to take the advantage of the unique capability of the AWT to assess the risk of impulsive vibrations.
Vibration; Power-tools; Hand-tools; Analytical-processes
Won Joon Song and Jay Kim, Mechanical Engineering Department University of Cincinnati, Cincinnati, OH 45221-0072, USA
Disease and Injury: Musculoskeletal Disorders of the Upper Extremities
Inter-Noise 2006. The 35th International Congress and Exposition on Noise Control Engineering, December 3-6, 2006, Honolulu, Hawaii.