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

Eugenia Minca; Daniel Racoceanu; Otilia Dragomir; Veronica Stefan; Florin Dragomir

doi:10.1109/ICCA.2009.5410578

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

Eugenia Minca, Daniel Racoceanu, Otilia Dragomir, Veronica Stefan, Florin Dragomir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2009 IEEE International Conference on Control and Automation, ICCA 2009
Pages	1487-1492
Number of pages	6
DOIs	https://doi.org/10.1109/ICCA.2009.5410578
State	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Control and Automation, ICCA 2009 - Christchurch, New Zealand Duration: 9 Dec 2009 → 11 Dec 2009

Publication series

Name	2009 IEEE International Conference on Control and Automation, ICCA 2009

Conference

Conference	2009 IEEE International Conference on Control and Automation, ICCA 2009
Country/Territory	New Zealand
City	Christchurch
Period	9/12/09 → 11/12/09

Keywords

Data bases approaches
Failure
Fault tree
FT analysis
Fuzzy detection
Fuzzy logic
Fuzzy reasoning
Prediction
Predictive maintenance
Reliability engineering
T-temporized petri nets

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10.1109/ICCA.2009.5410578

Cite this

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. In 2009 IEEE International Conference on Control and Automation, ICCA 2009 (pp. 1487-1492). Article 5410578 (2009 IEEE International Conference on Control and Automation, ICCA 2009). https://doi.org/10.1109/ICCA.2009.5410578

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

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.",

keywords = "Data bases approaches, Failure, Fault tree, FT analysis, Fuzzy detection, Fuzzy logic, Fuzzy reasoning, Prediction, Predictive maintenance, Reliability engineering, T-temporized petri nets",

author = "Eugenia Minca and Daniel Racoceanu and Otilia Dragomir and Veronica Stefan and Florin Dragomir",

year = "2009",

doi = "10.1109/ICCA.2009.5410578",

language = "English",

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series = "2009 IEEE International Conference on Control and Automation, ICCA 2009",

pages = "1487--1492",

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note = "2009 IEEE International Conference on Control and Automation, ICCA 2009 ; Conference date: 09-12-2009 Through 11-12-2009",

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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. in 2009 IEEE International Conference on Control and Automation, ICCA 2009., 5410578, 2009 IEEE International Conference on Control and Automation, ICCA 2009, pp. 1487-1492, 2009 IEEE International Conference on Control and Automation, ICCA 2009, Christchurch, New Zealand, 9/12/09. https://doi.org/10.1109/ICCA.2009.5410578

Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system. / Minca, Eugenia; Racoceanu, Daniel; Dragomir, Otilia et al.
2009 IEEE International Conference on Control and Automation, ICCA 2009. 2009. p. 1487-1492 5410578 (2009 IEEE International Conference on Control and Automation, ICCA 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - Fuzzy reasoning

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KW - Predictive maintenance

KW - Reliability engineering

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Minca E, Racoceanu D, Dragomir O, Stefan V, Dragomir F. Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system. In 2009 IEEE International Conference on Control and Automation, ICCA 2009. 2009. p. 1487-1492. 5410578. (2009 IEEE International Conference on Control and Automation, ICCA 2009). doi: 10.1109/ICCA.2009.5410578

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

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Keywords

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