Model Based Identification of Rotating Machines
AW Lees (Swansea University), JK Sinha (Manchester University) & MI Friswell (University of Bristol)
Mechanical Systems and Signal Processing, Vol. 23, No. 6, August 2009, pp. 1884-1893
Over the decades, vibration based condition monitoring has become well accepted and widely used to identify faults in rotating machines. However the quantification of faults may require a significant number of tests to be carried out which may be time consuming and costly, if not impossible, by experiments alone. In the recent past it has been observed that model based identification has played a significant role in the rapid resolution and quantification of faults. The paper seeks to give an overview of the recent developments in this field which has considerable practical importance.
This material has been published in the Mechanical Systems and Signal Processing, Vol. 23, No. 6, August 2009, pp. 1884-1893, the only definitive repository of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by the Elsevier.
Link to paper using doi: 10.1016/j.ymssp.2008.08.008
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