Affinity analysis using a priori algorithm to identify failure dependence in multi-component systems
Résumé
Maintenance decisions in multi-component systems are of great interest to maintenance managers. The equipment during its operation, produces and stores a large amount of data, especially discrete event data such as alarm, failed situation, change of operation modes, stop of the systems, and so forth, and produced via processings supported by PLCs, supervision system, SCADA.. Considering this data to assist in maintenance management and decisions is an area with a growing interest in maintenance management. In this paper, we study the stochastic dependency in a multi-component system through data from CLP database. We use appriory algorithm and affinity function to identify failure dependence in multi-component systems. The results of failure dependence can be used as input for planning group maintenance, purchase spare parts, or planning opportunistic maintenance.