Title
Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system
Date Issued
01 December 2009
Access level
metadata only access
Resource Type
conference paper
Author(s)
Centre National de la Recherche Scientifique
Abstract
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. ©2009 IEEE.
Start page
1487
End page
1492
Language
English
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Subjects
Scopus EID
2-s2.0-77950377809
ISBN of the container
9781424447060
Conference
2009 IEEE International Conference on Control and Automation, ICCA 2009
Sources of information:
Directorio de Producción Científica
Scopus