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.
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Bennane, A., Yacout, S. LAD-CBM; new data processing tool for diagnosis and prognosis in condition-based maintenance. J Intell Manuf 23, 265–275 (2012). https://doi.org/10.1007/s10845-009-0349-8
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DOI: https://doi.org/10.1007/s10845-009-0349-8