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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24488

Title: Applying Object-Oriented Bayesian Networks for smart diagnosis and health monitoring at both component and factory level
Authors: Madsen, Anders L.
Sondberg-Jeppesen, Nicolaj
Sayed, Mohamed S.
Peschl, Michael
Lohse, Niels
Keywords: Object Oriented Bayesian Networks
Software architecture
Real-world application
Issue Date: 2017
Publisher: Springer
Citation: MADSEN, A.L. ... et al, 2017. Applying Object-Oriented Bayesian Networks for smart diagnosis and health monitoring at both component and factory level. IEA/AIE 2017 - The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Arras, France, 27th-30th June 2017.
Abstract: To support health monitoring and life-long capability management for self-sustaining manufacturing systems, next generation machine components are expected to embed sensory capabilities combined with advanced ICT. The combination of sensory capabilities and the use of Object-Oriented Bayesian Networks (OOBNs) supports self-diagnosis at the component level enabling them to become self-aware and support self-healing production systems. This paper describes the use of a modular component-based modelling approach enabled by the use of OOBNs for health monitoring and root-cause analysis of manufacturing systems using a welding controller produced by Harms & Wende (HWH) as an example. The model is integrated into the control software of the welding controller and deployed as a SelComp using the SelSus Architecture for diagnosis and predictive maintenance. The SelComp provides diagnosis and condition monitoring capabilities at the component level while the SelSus Architecture provides these capabilities at a wider system level. The results show significant potential of the solution developed.
Description: This conference paper is closed access until twelve months after publication.
Sponsor: This work is part of the project ”Health Monitoring and Life-Long Capability Management for SELf-SUStaining Manufacturing Systems (SelSus)” which is funded by the Commission of the European Communities under the 7th Framework Programme, Grant agreement no: 609382.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/24488
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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