An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems
Systems and Control
2013-08-27 v1 Artificial Intelligence
Software Engineering
Abstract
Complex systems are naturally hybrid: their dynamic behavior is both continuous and discrete. For these systems, maintenance and repair are an increasing part of the total cost of final product. Efficient diagnosis and prognosis techniques have to be adopted to detect, isolate and anticipate faults. This paper presents an original integrated theoretical framework for diagnosis and prognosis of hybrid systems. The formalism used for hybrid diagnosis is enriched in order to be able to follow the evolution of an aging law for each fault of the system. The paper presents a methodology for interleaving diagnosis and prognosis in a hybrid framework.
Keywords
Cite
@article{arxiv.1308.5332,
title = {An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems},
author = {Elodie Chanthery and Pauline Ribot},
journal= {arXiv preprint arXiv:1308.5332},
year = {2013}
}
Comments
In Proceedings HAS 2013, arXiv:1308.4904