Diagnosability study of technological systems

Authors:
Michel Batteux;Philippe Dague;Nicolas Rapin;Philippe Fiani
Affiliations:
Sherpa Engineering, La Garenne Colombe, France;LRI, Univ. Paris-Sud & CNRS, INRIA Saclay, Orsay, France;CEA, LIST, Laboratory of Model driven engineering for embedded systems, Gif-sur-Yvette, France;Sherpa Engineering, La Garenne Colombe, France
Venue:
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Year:
2011

Citing 4
Cited 0

Detection of abrupt changes: theory and application

Detection of abrupt changes: theory and application
The benefits of relaxing punctuality

Journal of the ACM (JACM)
Modelling for fault detection and isolation versus modelling for control

Mathematics and Computers in Simulation - Special issue on 3rd IMACS Symposium on Mathematical Modelling — 3rd MATHMOD Vienna
Diagnosis and Fault-Tolerant Control

Diagnosis and Fault-Tolerant Control

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes an approach to study the diagnosability of technological systems, by characterizing their observable behaviors. Due to the interaction between many components, faults can occur in a technological system and cause hard damages not only to its integrity but also to its environment. Though a diagnosis system is a suitable solution to detect and identify faults, it is first important to ensure the diagnosability of the system: will the diagnosis system always be able to detect and identify any fault, without any ambiguity, when it occurs? In this paper, we present an approach to identify and integrate faults in a model of a technological system. Then we use these models for the diagnosability study of faults by characterizing their observable behaviors.