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Two distinct and parallel research communities have been working along the lines of the
model-based diagnosis approach: the fault detection and isolation (FDI) community and the …

Over the last 25 years, the Computer Science community and particularly the Artificial
Intelligence community, have developed a framework for system diagnosis, called Model …

This paper presents a diagnostic methodology relying on a set-membership approach for
fault detection and on a causal model for fault isolation. Set-membership methods are a …

A fault diagnostic framework was investigated in this study for applications in thermal–
hydraulic systems of nuclear power plants. The proposed framework consists of quantitative …

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 …

This paper presents a model-based diagnostic method designed in the context of process
supervision. It has been inspired by both artificial intelligence and control theory. AI …

This first chapter of the book introduces the reader to the area of computational intelligence
techniques and to their significant and abundant applications to fault diagnosis. Fault …

When designing model-based fault-diagnosis systems, the use of consistency relations (also
called eg parity relations) is a common choice. Different subsets are sensitive to different …

In this paper, problems of the online diagnostics of multiple faults in large scale systems are
presented. Possibilities of recognition of multiple faults based on the knowledge of …