Please use this identifier to cite or link to this item:
|Title:||Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system|
|Keywords:||Data bases approaches|
T-temporized petri nets
|Source:||Minca, E., Racoceanu, D., Dragomir, O., Stefan, V., Dragomir, F. (2009). Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1487-1492. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410578|
|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.|
|Source Title:||2009 IEEE International Conference on Control and Automation, ICCA 2009|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.