Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system

• Published in: 2009 IEEE International Conference on Control and Automation pp. 1487 - 1492
• Main Authors: Minca, Eugenia, Racoceanu, Daniel, Dragomir, Otilia, Stefan, Veronica, Dragomir, Florin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2009
• Subjects: Computerized monitoring; Condition monitoring; data bases approaches; Event detection; failure; fault tree; FT analysis; fuzzy detection; Fuzzy logic; fuzzy reasoning; Fuzzy systems; Hierarchical systems; Manufacturing automation; Manufacturing systems; Petri nets; prediction; predictive maintenance; Predictive models; reliability engineering; T-temporized Petri nets
• ISBN: 1424447062; 9781424447060
• ISSN: 1948-3449; 1948-3457
• DOI: 10.1109/ICCA.2009.5410578

A new tool for non-autonomous hierarchical systems modelling is proposed in this article. This tool is used for the modelling of monitoring functions and integrates the fuzzy logic in the temporal aspect of the events occurrence. The tool is also suited for the development of the hierarchical and distributed typologies structures and in modelling of recurrent functions. The proposed hierarchical systems are structured on hierarchical levels. On each level there are events with equal probabilities of occurrence/detection. The proposed typologies ensure a recurrent behaviour to the horizontal firing of the networks, which allows the detection of the occurrence/persistence of the monitored external events. In this context, the Recurrent Synchronized Fuzzy Petri Nets (PNetSinFREC) are well adapted to detection/decision modelling of the functions by a temporized fuzzy transition approach in hierarchical systems.