A COMPARISON AMONG DIFFERENT NOTIONS OF ROBUST DIAGNOSABILITY AGAINST SENSOR FAILURES

WESLEY  R. SILVEIRA; PÚBLIO  MACEDO LIMA; MARCOS  VICENTE DE BRITO MOREIRA

doi:10.20906/CBA2022/444

WESLEY R. SILVEIRA Universidade Federal do Rio de Janeiro
PÚBLIO MACEDO LIMA UFRJ- Universidade Federal do Rio de Janeiro
MARCOS VICENTE DE BRITO MOREIRA UFRJ- Universidade Federal do Rio de Janeiro

DOI: https://doi.org/10.20906/CBA2022/444

Keywords: Fault diagnosis, Discrete event systems, Robust diagnosability, Sensor failures

Abstract

Recently, diferent notions of robust diagnosability of discrete event systems (DES) against permanent
and intermittent sensor failures have been proposed in the literature. In these works, diferent assumptions
are considered regarding event observation losses, and dierent strategies for verifying the diagnosability of the language of the system subject to uncertainties in the event observations are presented. In this paper, we present the relation between dierent notions of robust diagnosability proposed in the literature, and we show that robust diagnosability against intermittent and permanent loss of observations are equivalent. We also show that observation masks can always be replaced with projections in the case of non selective sensor failures to model the diagnoser observation of the system, and that even in the case of non selective sensor failures, the two denitions of robust diagnosability of DES against permanent sensor failures proposed in the literature are not equivalent.