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Holonic diagnosis for an automotive assembly line

chapter
posted on 06.12.2017, 00:00 by Jacqueline Jarvis, Dennis Jarvis
Diagnosis is an important function of a holonic manufacturing system if the desired levels of stability, adaptability and flexibility are to be achieved. Our research agenda is to study holonic behaviours (such as diagnosis and control) through the incorporation of these behaviours into operational industrial systems. Given the lack of fielded holonic solutions in industry, we are currently constrained to use conventional systems in our work. In this paper we describe the development of a holonic diagnostic capability for a PLC-controlled vehicle assembly line. A novel model-based strategy is used for diagnosis. Because of the constraints imposed on model formation in this environment, a two-phase approach consisting of off-line fault space generation and online fault space analysis is used. The fault space analysis utilises heuristics to achieve the desired performance levels (diagnosis in less than 60 seconds and success rates of greater than 90%). Areas for further research in holonic diagnosis are identified.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Editor

Deen S

Start Page

193

End Page

206

Number of Pages

14

ISBN-10

3540440690

Publisher

Springer-Verlag

Place of Publication

Germany

Open Access

No

External Author Affiliations

Agent Oriented Software (Firm); Faculty of Business and Informatics;

Era Eligible

Yes

Number of Chapters

13

Exports