A study on the fault diagnosis of roller-shape using frequency analysis of tension signals and artificial neural networks based approach in a web transport system-Reference-Cited by-同舟云学术

A study on the fault diagnosis of roller-shape using frequency analysis of tension signals and artificial neural networks based approach in a web transport system

Published:2002-12 Issue:12 Volume:16 Page:1604-1612
ISSN:1226-4865
Container-title:KSME International Journal
language:en
Short-container-title:KSME International Journal

Author:

Tahk Kyung-Mo,Shin Kee-Hyun

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF03021662.pdf

Reference6 articles.

1. Harris Cyril M., 1995, “Shock and Vibration Handbook-Fourth Edition,” McGRAW-HILL, pp. 11.5–11.8.

2. Tom Irvine, 1998, “The Fast Fourier Transform,” Vibrationdata Company Technical paper.

3. Paya B. A., 1997, “Artificial Neural Network Based Fault Diagnosis of Rotating Machinery Using Wavelet Transforms as a Preprocessor,”Mechanical Systems and Signal Processing, Vol. 11, No. 5, pp. 751–765.

4. Roisum David R., 1996, “The Mechanics of Rollers,” TAPPI PRESS, pp. 11–20.

5. Shin Kee-hyun, 2000, “Tension Control,” TAPPI PRESS, pp. 20–24.

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