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International Journal of Rotating Machinery
Volume 10 (2004), Issue 4, Pages 293-300
http://dx.doi.org/10.1155/S1023621X04000302

Identification of a Generator Fault by Model-Based Diagnostic Techniques

1Dipartimento di Meccanica, Politecnico di Milano, Milano, Italy
2Dipartimento di Meccanica, Politecnico di Milano, Campus Bovisa Via la Masa, 34, Milano I-20158, Italy

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Model-based diagnostic techniques can be used successfully in the health analysis of rotormachinery. Unfortunately, a poor accuracy of the model of the fully assembled machine, as well as noise in the signals and errors in the evaluation of the experimental vibrations that are caused only by the impending fault, can affect the accuracy of the fault identifications. This can make it difficult to identify the type of actual fault as well as to evaluate with care its severity and position. This article shows some techniques that have been developed by the authors to measure the accuracy of the results obtained with model-based identification methods aimed to diagnose faults in rotating machines. In this article, the results obtained by means of the analysis of experimental data collected in a power plant are described. Finally, the capabilities of the developed methods are shown and discussed.