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- Title
VALIDATION OF HAND ARM VIBRATION (HAV) MONITORING USING INTEGRATED KURTOSIS-BASED ALGORITHM FOR Z-NOTCH FILTER (I-KAZ) VIBRO VIA INDEPENDENT COMPONENT ANALYSIS (ICA).
- Authors
Ab Aziz, Shamsul Akmar; Nuawi, Mohd Zaki; Nakamura Hiroki; Yamazaki Toru
- Abstract
The objective of this paper is to validate the integrated kurtosis-based algorithm for Z-notch filter (I-kaz) Vibro method for monitoring hand arm vibration (HAV) in three-tonne truck steering wheels using independent component analysis (ICA). From the recorded HAV signals for acceleration (Acc), velocity (Vel) and displacement (Dis), ICA is used to obtain the independent components, IC1 and IC2. Comparison between the I-kaz display and I-kaz Vibro coefficient (Zv 8) with the proposed ICA display and independent component kurtosis coefficient (KIC) shows that HAV acceleration (a), Zv 8 and KIC values increase when vehicle speed is increased. In addition, these results are also supported by the observation of the scattering of the I-kaz Vibro and ICA displays, whereby larger space of scattering is found for increasing vehicle speed, indicating that Zv 8and KIC values are comparatively increasing. Comparison of the fast Fourier transform (FFT) plots of the original HAV acceleration signal with the two independent components shows that the vibration value for each frequency in the FFT graph did not change between the recorded HAV data with each of the two independent components, and the relative error between the maximum level is considered to be within practically acceptable relative error limits. Thus, it can be concluded that the I-kaz Vibro method for HAV monitoring has been validated accurately using ICA.
- Subjects
INDEPENDENT component analysis; FAST Fourier transforms; TRUCK wheels; ALGORITHMS; FILTERS &; filtration; ARM
- Publication
Defence S&T Technical Bulletin, 2020, Vol 13, Issue 1, p85
- ISSN
1985-6571
- Publication type
Article