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http://dx.doi.org/10.17661/jkiiect.2017.10.1.77

Noisy Time Varying Vibration Signal Analysis using Adaptive Predictor-Binary Tree Structured Filter Bank System  

Bae, Hyeon-Deok (School of Electrical Engineering, Chungbuk National University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.10, no.1, 2017 , pp. 77-84 More about this Journal
Abstract
Generally, a time-varying vibration signal is generated in a rotating machine system, and when there is a failure in the rotating machine, the signal contains noise. In this paper, we propose a system consisting of an adaptive predictor and a binary tree filter bank for analyzing time - varying vibration signals with noise. And the vibration signal analyzed results in this system is used for fault diagnosis of the rotating machine. The adaptive predictor of the proposed system predicts the periodic signal components, and the filter bank system decomposes the difference signal between the input signal and the predicted periodic signal into subband. Since each subband signal includes a noise signal component due to a failure, it is possible to diagnose the failure of the using rotary machine. The validity of the proposed vibration signal analysis method is shown in the simulations, where the periodic components cancelled vibrating signals are decomposed to 32 subband, and the signal characteristics related faults are analyzed.
Keywords
Noisy time varying periodic signal; rotating machine; adaptive predictor; filter bank; fault diagnosis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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