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 …

It is generally accepted that there has been an increasing interest in online fault detection
and diagnosis techniques for technical processes during the last few years. These …

An interval observer has been shown to be a suitable passive robust strategy to generate an
adaptive threshold to be used in residual evaluation when model uncertainty is located in …

The paper analyses the research problem of conducting diagnostic reasoning for dynamic
objects to eliminate the possibility of formulating false diagnoses resulting from different …

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 …

This papers aims to design a new approach in order to increase the performance of the
decision making in model-based fault diagnosis when signature vectors of various faults are …

The paper concerns a significant problem in the diagnostics of industrial processes, which is
the need to achieve high fault distinguishability. High distinguishability results in the …

In this paper, a methodology for limnimeter and rain-gauge fault detection and isolation (FDI)
in sewer networks is presented. The proposed model based FDI approach uses interval …

Knowledge about the relation between faults and the observed symptoms is necessary for
fault isolation. Such a relation can be expressed in various forms, including binary …

Knowledge about the relation between faults and the observed symptoms is necessary for
fault isolation. Such a relation can be expressed in various forms, including binary …