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Parameters Estimation for Condition Based Maintenance with Uncorrelated and Correlated Observations

Summary: ´╗┐[This abstract is based on the authors' abstract.] Condition based maintenance (CBM) is determined by the assessment of equipment state obtained by measuring certain indicators. When there is uncertainty concerning the state of the equipment, the measurements collected are called imperfect, and the aging and degradation process is assumed to follow a Markov process that can be modeled by a hidden Markov model (HMM). A general procedure based on the expectation-maximization algorithm is described that can used to estimate the parameters of the HMM. The procedure considers independent maintenance observations as well as correlated maintenance observations most common in CBM applications. Simulated examples illustrate the procedure.

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  • Topics: Engineering
  • Keywords: Maintenance, Equipment, Needs assessment, Analytical modeling, Markov chains, Parameters
  • Author: Luc Adjengue; Soumaya Yacout; Ozlem Ilk
  • Journal: Quality Engineering