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Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory

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Intelligent Decision Support

Part of the book series: Theory and Decision Library ((TDLD,volume 11))

Abstract

The paper refers to problems of an application of the rough sets theory to diagnostic classification of mechanical objects. The use of the rough sets approach is shown on some practical examples. In particular, it concerns: evaluation of diagnostic capacity of symptoms, comparison of different methods of defining symptom limit values, reduction of the set of symptoms to a subset ensuring satisfactory evaluation of the object’s technical state, creation of the classifier of the technical state. The analysed examples concern the evaluation of the technical state of rolling bearings.

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© 1992 Springer Science+Business Media Dordrecht

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Nowicki, R., Słowiński, R., Stefanowski, J. (1992). Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_3

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  • DOI: https://doi.org/10.1007/978-94-015-7975-9_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4194-4

  • Online ISBN: 978-94-015-7975-9

  • eBook Packages: Springer Book Archive

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