Paper Title:
A Comparative Study on the Vibration Signal-Based Damage Detection for Rotor-Bearing System in Speed-Up Process:The Feature Extraction Approach
  Abstract

The goal of system monitoring and diagnostics is to minimize economic losses, to increase stability, to maximize productivity, and to maintain product quality in manufacturing. The feature extraction from the signals acquired in rotating machine is required for performance evaluation, condition monitoring, and fault diagnostics. In this paper, we extracted the distinctive features from vibration signals gathered in rotor-bearing system during acceleration in order to monitor an abnormal condition by using various kinds of signal processing methods such as the Fast Fourier Transform, Short-Time Fourier Transform, Wigner-Ville Distribution, and Discrete Wavelet Transform.

  Info
Periodical
Key Engineering Materials (Volumes 321-323)
Edited by
Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi
Pages
1253-1256
DOI
10.4028/www.scientific.net/KEM.321-323.1253
Citation
B. S. Kim, S. H. Lee, J. Ni, J. Y. Song, "A Comparative Study on the Vibration Signal-Based Damage Detection for Rotor-Bearing System in Speed-Up Process:The Feature Extraction Approach", Key Engineering Materials, Vols. 321-323, pp. 1253-1256, 2006
Online since
October 2006
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Price
$32.00
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