Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

Volume: 11, Issue: 3, Pages: 812 - 820
Published: Jun 1, 2015
Abstract
In this paper, a multiple classifier machine learning (ML) methodology for predictive maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance issues given the increasing need to minimize downtime and associated costs. One of the challenges with PdM is generating the so-called “health factors,” or quantitative indicators, of the status of a system associated with a given maintenance issue, and determining their...
Paper Details
Title
Machine Learning for Predictive Maintenance: A Multiple Classifier Approach
Published Date
Jun 1, 2015
Volume
11
Issue
3
Pages
812 - 820
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