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

KSME International Journal

Volumn 16, Issue 12, 2002, Pages 1604-1612

  Tahk, Kyung Mo ^a   Shin, Kee Hyun ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Konkuk University   (South Korea)

Author keywords

Artificial Neural Network; Fault Diagnosis; Roller Roll; Web; Web Tension; Web Transport System

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MOTORS; NEURAL NETWORKS; TORQUE;

WEB TRANSPORT SYSTEMS;

ROLLERS (MACHINE COMPONENTS);

EID: 0038517967     PISSN: 12264865     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03021662     Document Type: Article

References (6)

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.
6. Tahk Kyung-mo and Shin Kee-hyun, 1999, "A Study on the Fault Diagnosis of Roller-Shape using Frequency Domain Analysis of Web Tension Signals," Proc. of Manufacturing & Design Conference of the KSME, pp. 338-343.