Reliable and timely fault detection and isolation are necessary tasks to guarantee
continuous performance in complex industrial systems, avoiding failure propagation in the …

This paper proposes a fault diagnosis method using a timed discrete-event approach based
on interval observers that improves the integration of fault detection and isolation tasks. The …

Complex engineering systems require efficient on-line fault diagnosis methodologies to
improve safety and reduce maintenance costs. Traditionally, diagnosis approaches are …

Fault diagnosis is crucial for ensuring the safe operation of complex engineering systems.
Although discrete-event diagnosis methods are used extensively, they do not easily address …

Fault diagnosis is crucial for ensuring the safe operation of complex engineering systems.
Many present-day systems combine physical and computational processes, and are best …

This paper is concerned with diagnosability analysis, which proves a requisite for several
tasks during the system's life cycle. The Model-Based Diagnosis (MBD) community has …

This work proposes a new model-based fault diagnosis method that improves the integration
of the fault detection and isolation tasks. A new interface between fault detection and fault …

On-line model based reconfiguration is generally used to improve the ability of a system to
tolerate faults. Recovery after fault occurrence relies on allowing the system to proceed with …

Accurate modeling mechanisms play an important role in model-based diagnosis, and the
bond graph modeling language has proved to be helpful for this task. In this paper we …

In this paper, a design methodology and implementation architecture for diagnosers in the
framework of hybrid systems is proposed. The design methodology is based on the hybrid …