Fault Detection and Isolation (FDI) is important in many industries to provide safe operation
of a process. To determine the kind, size, location and time of fault, many Fault detection and …

To achieve the safe, reliable autonomous operation of spacecraft, research on the fault
diagnosis of control systems has attracted the attention of engineers and academicians …

Fault diagnosis is a widely used term across many application domains. In this book, we
restrict the meaning of this term to designate the usage of specific techniques to discover …

Analyzing fault diagnosability performance for a given model, before developing a diagnosis
algorithm, can be used to answer questions like “How difficult is it to detect a fault fi?” or …

Microgrids are getting a growing role in the evolution of the traditional electricity system
towards a more distributed grid. Nowadays, efforts are being put into the development of …

Recently, there has been interest in developing diagnosis methods that combine model-
based and data-driven diagnosis. In both approaches, selecting the relevant measurements …

Power systems are moving towards hybrid AC/DC grids with the integration of HVDC links,
renewable resources and energy storage modules. The load frequency control (LFC) of …

Developing advanced diagnosis tools to detect cyber attacks is the key to security of power
systems. It has been shown that multivariate data injection attacks can bypass bad data …

This article presents a novel perspective along with a scalable methodology to design a fault
detection and isolation (FDI) filter for high dimensional nonlinear systems. Previous …

In this article, we propose a tractable nonlinear fault estimation filter along with explicit
performance bounds for a class of linear dynamical systems in the presence of both additive …