LAD-CBM; new data processing tool for diagnosis and prognosis in condition-based maintenance

  • Authors:
  • Abderrazak Bennane;Soumaya Yacout

  • Affiliations:
  • Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, Canada H3T 1J4;Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, Canada H3T 1J4

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2012

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Abstract

This paper investigates the application of a data mining technique called Logical Analysis of Data (LAD) to condition-based maintenance. The existing classification techniques are mainly based on statistical analysis and modeling approaches. This paper presents a classification technique based on combinatory and Boolean theory. It is shown that LAD is particularly suitable for detecting the state of equipment because of its new way of pre-processing noisy and missing data. A numerical example and an application are presented.