| Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection | |
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| Author | |
| Abstract |
This paper discusses a distributed diagnosis approach, where each subsystem diagnoser operates independently without a coordinator that combines local results and generates the correct global diagnosis. In addition, the distributed diagnosis algorithm is designed to minimize communication between the subsystems. A Minimal Structurally Overdetermined (MSO) set selection approach is developed as a Binary Integer Linear Programming (BILP) optimization problem for subsystem diagnoser design. |
| Year of Publication |
2015
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| Conference Name |
Proceedings of the 26th International Workshop on Principles of Diagnosis
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| Date Published |
08/2015
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| Conference Location |
Paris, France
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| Attachments |
Document
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| Google Scholar | BibTeX | XML | |