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The rough sets approach to knowledge analysis for classification support in technical diagnostics of mechanical objects

  • Jerzy Stefanowski
  • Roman Słowiński
  • Ryszard Nowicki
Reasoning and Decision Support
Part of the Lecture Notes in Computer Science book series (LNCS, volume 604)

Abstract

Problems of knowledge analysis for decision systems concerning diagnostic classification of mechanical objects are considered in this paper. Knowledge coming from experience is represented in a form of an information system and is analysed by means of the new approach based on the rough sets theory. The application of this approach enables reduction of superfluous data in the information system and generation of classification rules showing relationships between the description of objects and their assignment to classes of a technical state. The use of the rough sets approach is shown on a practical example concerning the evaluation of the technical state of rolling bearings. The bearings are in one of two technical states (good and bad) and are described by a set of symptoms which results from measurements of noise and vibration collected in an industrial environment.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Jerzy Stefanowski
    • 1
  • Roman Słowiński
    • 1
  • Ryszard Nowicki
    • 2
  1. 1.Institute of Computing ScienceTechnical University of PoznanPoznańPoland
  2. 2.Institute of Applied MechanicsTechnical University of PoznanPoznańPoland

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