A decentralized model-based diagnostic tool for complex systems

  • Authors:
  • Yannick Pencolé;Marie-Odile Cordier;Laurence Rozé

  • Affiliations:
  • -;-;-

  • Venue:
  • ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

We address the problem of diagnosing complex discrete-event systems such as telecommunication networks. Given a flow of observations from the system, the goal is to explain those observations by identifying and localizing possible faults. Several model-based diagnosis approaches deal with this problem but they need the computation of a global model which is not feasible for complex systems like telecommunication networks. Our contribution is the proposal of a decentralized approach which permits to carry out an on-line diagnosis without computing the global model. This paper describes the implementation of a tool based on this approach. Given a decentralized model of the system and a flow of observations, the program analyzes the flow and computes the diagnosis in a decentralized way. We also present experimental results based on a real system.