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Shi, D F, Wang, W J, Unsworth, P J and Qu, L S (2005) Purification and feature extraction of shaft orbits for diagnosing large rotating machinery. Journal of Sound and Vibration, 279 (3-5). pp. 581-600. ISSN 0022-460X
Full text not available from this repository.Abstract
Vibration-based diagnosis has been employed as a powerful tool in maintaining the operating efficiency and safety for large rotating machinery. However, due to some inherent shortages, it is not accurate enough to extract the features of malfunctions by using traditional vibration signal processing techniques. In this paper, a high-resolution spectrum is firstly proposed to calculate the amplitude, frequency and phase details of sinusoidal harmonic and sub-harmonic vibration in large rotating machinery. Secondly, on the basis of a high-resolution spectrum, a purified shaft orbit is reconstructed to remove the interference terms. The moment and curve features, which are invariant to translation, scaling and rotation of the shaft orbit, are introduced to extract the features from the purified vibration orbit. This novel scheme is shown to be very effective and reliable in diagnosing several types of malfunctions in gas turbines and compressors under operating conditions as well as in the run-up stages.
| Item Type: | Article |
|---|---|
| Additional Information: | This paper reports a new technique of purifying shaft orbit which is constructed for indicating the vibration characteristics of the shaft in rotary machinery. It is shown effective and reliable in diagnosing several types of malfunctions in gas turbines and compressors under operating condition. W.J. Wang(w.j.wang@sussex.ac.uk ) acted as a supervisor of the first author Dr. D.F. Shi (dongfenghi@nottingham.ac.uk), and supported the work, contributed in technical details and certified the correctness of writing. |
| Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
| Depositing User: | William Wang |
| Date Deposited: | 06 Feb 2012 19:18 |
| Last Modified: | 30 Mar 2012 08:19 |
| URI: | http://sro.sussex.ac.uk/id/eprint/20013 |