The success of distributed power generation by plants based on solid oxide fuel cells (SOFCs) is hindered by reliability problems that can be mitigated through an effective fault detection and isolation (FDI) system. However, the numerous operating conditions under which such plants can operate and the random size of the possible faults make identifying damaged plant components starting from th...

In recent years, inland navigation networks benefit from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems lead to a reactive asset-management of inland navigation networks. However, sensors and actuators are subject to faults due to the strong effects of the environment, aging, etc. In this paper, a sensor Fault Detection and Isolation (FDI) ap...

This paper deals with dynamic output feedback control of continuous-time active fault tolerant control systems with Markovian parameters (AFTCSMP) and state-dependent noise. The main contribution is to formulate conditions for multiperformance design, related to this class of stochastic hybrid systems, that take into account the problematic resulting from the fact that the controller only depen...

This paper investigates the development of the Adaptive Neuro-Fuzzy Systems with Local Recurrent Structure (ANFS-LRS) and their application to Fault Detection and Isolation (FDI). Hybrid learning, based on a fuzzy clustering algorithm and a gradientlike method, is used to train the ANFS-LRS. The experimental case study refers to an application of fault diagnosis of an electro-pneumatic actuator...

This paper deals with the Robust Fault Detection (RFD) problem for multilinear affine uncertain systems and proposes an approach to solve it. Convex Minkowski combinations are used to compute as precisely as possible uncertainty sets according to the parameters variations in a fault-free context. Faults to be detected are characterized either by a parameter change outside its definition interva...

This paper presents a novel immune inspired algorithm, named DERA (Dynamic Effector Regulatory Algorithm), aimed at fault detection and other anomaly detection problems. It integrates immunological research results, pointing out the importance of a special breed of cells (regulatory T cells) in the control of various aspects of the immune system, and includes a mechanism for signalling between ...

In this paper, fault detection problems for linear uncertain systems are studied. Instead of designing fault detection systems from the viewpoint of increasing the system robustness against unknown inputs and the sensitivity to the faults, an approach is proposed, which allows us to design fault detection systems in such a way that the missed detection rate is minimized for a given false alarm ...

By reviewing the existing literature and empirical investigation, we build a socalled Photosynthesis model which argues that a recipient developing country only achieves benefits from FDI once they have sufficient absorptive capacity related to human capital resource, absorptive capacity of domestic firm, financial systems, physical infrastructure, technological, and institutional development. ...

Bond graph (BG) is an effective tool for modeling complex systems and it has been proven to be useful for fault detection and isolation (FDI) purposes for large continuous systems. BG provides causality between system’s variables which allows FDI algorithms to be developed systematically from the graph. Similarly, Hybrid bond graph (HBG) is a bond graph-based modeling approach which provides an...

To fully understand foreign affiliates’ behaviour in regional agglomerations (hereafter RAs), we argue it would be useful to analyze the networking patterns of such affiliates in reference to domestic firms within the local market environment. Consequently, we examined 184 electronics plants,