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Please use this identifier to cite or link to this item: http://dspace.lib.cranfield.ac.uk/handle/1826/1782

Document Type: Article
Title: Acoustic emissions diagnosis of rotor-stator rubs using the KS statistic.
Authors: Hall, L D
Mba, David
Issue Date: 2004
Citation: L. D. Hall and D. Mba, Acoustic emissions diagnosis of rotor-stator rubs using the KS statistic, Mechanical Systems and Signal Processing, Volume 18, Issue 4, July 2004, Pages 849-868.
Abstract: Acoustic emission (AE) measurement at the bearings of rotating machinery has become a useful tool for diagnosing incipient fault conditions. In particular, AE can be used to detect unwanted intermittent or partial rubbing between a rotating central shaft and surrounding stationary components. This is a particular problem encountered in turbines used for power generation. For successful fault diagnosis, it is important to adopt AE signal analysis techniques capable of distinguishing between various types of rub mechanisms. It is also useful to develop techniques for inferring information such as the severity of rubbing or the type of seal material making contact on the shaft. It is proposed that modelling the cumulative distribution function of rub-induced AE signals with respect to appropriate theoretical distributions, and quantifying the goodness of fit with the Kolmogorov–Smirnov (KS) statistic, offers a suitable signal feature for diagnosis. This paper demonstrates the successful use of the KS feature for discriminating different classes of shaft-seal rubbing.
URI: http://dx.doi.org/10.1016/S0888-3270(03)00050-5
Appears in Collections:Staff publications - School of Engineering

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