FlexDx: A Reconfigurable Diagnosis Framework
2008 (English)In: Proceedings of the 19th International Workshop on Principles of Diagnosis (DX), 2008Conference paper (Refereed)
Detecting and isolating multiple faults is a computationally intense task which typically consists of computing a set of tests, and then computing the diagnoses based on the test results. This paper describes FlexDx, a reconfigurable diagnosis framework which reduces the computational burden by only running the tests that are currently needed. The method selects tests such that the isolation performance of the diagnostic system is maintained. Special attention is given to the practical issues introduced by a reconfigurable diagnosis framework such as FlexDx. For example, tests are added and removed dynamically, tests are partially performed on historic data, and synchronous and asynchronous processing are combined. To handle these issues FlexDx uses DyKnow, a stream-based knowledge processing middleware framework. The approach is exemplified on a relatively small dynamical system, which still illustrates the computational gain with the proposed approach.
Place, publisher, year, edition, pages
FlexDX, Diagnosis, Isolation performance, DyKnow, Framework, System
Computer Science Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-42835Local ID: 69185OAI: oai:DiVA.org:liu-42835DiVA: diva2:263692
19th International Workshop on Principles of Diagnosis, Blue Mountains NSW, Australia, September 2008