Incremental Abstraction for Diagnosability Verification of Modular Systems
Paper in proceedings, 2019

In a diagnosability verifier with polynomial complexity, a non-diagnosable system generates uncertain loops. Such forbidden loops are in this paper transformed to forbidden states by simple detector automata. The forbidden state problem is trivially transformed to a nonblocking problem by considering all states except the forbidden ones as marked states. This transformation is combined with one of the most efficient abstractions for modular systems called conflict equivalence, where nonblocking properties are preserved. In the resulting abstraction, local events are hidden and more local events are achieved when subsystems are synchronized. This incremental abstraction is applied to a scalable production system, including parallel lines where buffers and machines in each line include some typical failures and feedback flows. For this modular system, the proposed diagnosability algorithm shows great results, where diagnosability of systems including millions of states is analyzed in less than a second.

abstraction

Modular systems

diagnosability

nonblocking

verification

Author

Mona Noori-Hosseini

Chalmers, Electrical Engineering, Systems and control, Automation

Bengt Lennartson

Chalmers, Electrical Engineering, Systems and control

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

19460740 (ISSN) 19460759 (eISSN)

393-399

24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Zaragoza, Spain,

Subject Categories

Embedded Systems

Computer Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/ETFA.2019.8869382

ISBN

9781728103037

More information

Latest update

12/8/2020