INDIN2015 A Methodology for Developing Local Smart Diagnostic Models Using Expert Knowledge.pdf (249.27 kB)
A methodology for developing local smart diagnostic models using expert knowledge
conference contribution
posted on 2016-05-27, 10:36 authored by Anders L. Madsen, Nicolaj Sondberg-Jeppesen, Niels Lohse, Mohamed S. Sayed© 2015 IEEE. This paper describes an innovative modular component-based modelling approach for diagnostics and condition-monitoring of manufacturing equipment. The approach is based on the use of object-oriented Bayesian networks, which supports a natural decomposition of a large and complex system into a set of less complex components. The methodology consists of six steps supporting the development process: Begin, Design, Implement, Test, Analyse, and Deploy. The process is iterative and the steps should be repeated until a satisfactory model has been achieved. The paper describes the details of the methodology as well as illustrates the use of the component-based modelling approach on a linear axis used in manufacturing. This application demonstrates the power and flexibility of the approach for diagnostics and condition-monitoring and shows a significant potential of the approach for modular component-based modelling in manufacturing and other domains.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015Pages
1682 - 1687Citation
MADSEN, A.L. ...et al., 2015. A methodology for developing local smart diagnostic models using expert knowledge. IN: 2015 13th IEEE International Conference on Industrial Informatics, (INDIN 2015), Cambridge, 22-24th July, pp. 1682-1687.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publication date
2015Notes
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISBN
9781479966493ISSN
1935-4576Publisher version
Language
- en