• A Constraint-Based Approach to Predictive Maintenance Model Development

      Gorman, Joe; Takata, Glenn; Patel, Subhash; Grecu, Dan; Charles River Analytics (International Foundation for Telemetering, 2008-10)
      Predictive maintenance is the combination of inspection and data analysis to perform maintenance when the need is indicated by unit performance. Significant cost savings are possible while preserving a high level of system performance and readiness. Identifying predictors of maintenance conditions requires expert knowledge and the ability to process large data sets. This paper describes a novel use of constraint-based data-mining to model exceedence conditions. The approach extends the extract, transformation, and load process with domain aggregate approximation to encode expert knowledge. A data-mining workbench enables an expert to pose hypotheses that constrain a multivariate data-mining process.