Fault diagnosis problem is discussed for discrete events systems described by partially
observed Petri nets. Our goal is to detect and identify faults that may have occurred in both …

In this paper, we design a diagnostic technique for a partially observed labelled Petri net
where the faults of the system are modelled by unobservable transitions. The fault detection …

I‐detectability is an important issue in partially observed discrete event systems (DESs). In
this paper, a Boolean semi‐tensor product (BSTP) approach is proposed to investigate the I …

In this paper, we present a diagnoser‐based approach to deal with fault diagnosis of
bounded labeled Petri nets. The approach consists in building a semi‐symbolic diagnoser to …

This work deals with the Leak Detection and Isolation (LDI) problem in water pipelines
based on some heuristic method and assuming only flow rate and pressure head …

This work proposes a linear algebraic model written in the form Ax≤ b describing the
dynamic behavior of Hybrid Petri Nets (HPN). The proposed model can be simulated to …

The focus of the study has remained on creating an algorithm for detecting the faults within a
data system with the help of Petri net modeling. The research has used the positivism that …

In this paper, we propose an algebraic approach to investigate the diagnosis of partially
observable labeled Petri nets based on state estimation on a sliding window of a predefined …

In this paper, a particular state model allowing describing the system evolution in time is
proposed. This state model contains two inequalities describing the evolution in time of the …

This paper addresses fault detection for wind turbine transmission system (WTTS) subject to
actuator stuck faults and wind disturbances. Taking into account the frequency domain …