Use of modal representation for the supporting structure in model-based fault identification of large rotating machinery: part 1—theoretical remarks-Reference-Cited by-同舟云学术

Use of modal representation for the supporting structure in model-based fault identification of large rotating machinery: part 1—theoretical remarks

Published:2006-04 Issue:3 Volume:20 Page:662-681
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Pennacchi Paolo,Bachschmid Nicolò,Vania Andrea,Zanetta Gian Antonio,Gregori Luca

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference48 articles.

1. D.-H. Hellmann, Early fault detection—an overview—, ISROMAC-9 Conference, February 2002, Honolulu, Hawaii, pp. 1–5.

2. U. Südmersen, O. Pietsch, C. Scheer, W. Reimche, F.W. Bach, Condition monitoring by vibration analysis in power plants and production lines, JSME Annual Meeting 2002—International Symposium on Machine Condition Monitoring and Diagnosis, September 2002, Tokyo, Japan, pp. 117–124.

3. U. Südmersen, O. Pietsch, W. Reimche, D. Stegemann, Failure root cause analysis applying vibrational diagnostics, IMechE Paper C576-030, Seventh International Conference on Vibrations in Rotating Machinery, September 2000, University of Nottingham, pp. 591–601.

4. J.T. Sawicki, Some advances in diagnostics of rotating machinery malfunctions, JSME Annual Meeting 2002–International Symposium on Machine Condition Monitoring and Diagnosis, September 2002, Tokyo, Japan, pp. 138–143.

5. M.F. White, M. Jecmenica, Fault diagnosis using a fault matrix incorporating fuzzy logic, 12th International Congress on Condition Monitoring and Diagnostic Engineering Management—COMADEM 99, July 1999, Sunderland, pp. 441–450.

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