In this paper, a fault diagnosis method is developed for a particular class of nonlinear systems described by a polytopic Linear Parameter Varying (LPV) formulation. The main contribution consists in the synthesis of an accurate Fault Detection and Isolation (FDI) filter and also a sensor fault magnitude estimation with a quality factor. This quality factor of the filter underlines if the fault...

This paper proposes a methodology to deal with the fault section estimation problem in electrical power systems. The main motivation for this study lies in the fact that operators of control centers usually are subject to information overload during great contingencies. The fault diagnosis is formulated as an optimization problem and solved through two stages: classification of events at equipm...

Abstract This article investigates the fault estimation and tolerant control (FTC) problems for linear stochastic uncertain systems. By introducing fictitious noise, is augmented as part of systems state, then a robust estimator proposed to simultaneously obtain state estimation. Based on estimated information, active FTC presented eliminate impact fault. Finally, simulation example conducted d...

In this paper, an adaptive sliding mode fault-tolerant control scheme based on prescribed performance and neural networks is developed for Unmanned Aerial Vehicle (UAV) quadrotor carrying a load to deal with actuator faults. First, nonsingular fast terminal (NFTSM) strategy presented. virtue of the proposed strategy, convergence high robustness can be guaranteed without stimulating chattering. ...

With the increasing demand of electric power supply, the necessity to transmit more power has become the need of the hour. The excess power can be transferred by building new infrastructure (costly and time taking) or by using series compensation (relatively cheaper and faster alternative). Series compensation is a technique in which line inductance is compensated by placing a capacitor in seri...

ÐThis paper addresses the problem of estimating fault tolerance coverage through statistical processing of observations collected in fault-injection experiments. In an earlier paper, various estimators based on simple sampling in the complete fault/activity input space and stratified sampling in a partitioned space were studied; frequentist confidence limits were derived based on a normal appro...

The Middleware for Embedded Adaptive Dependability (MEAD) infrastructure enhances large-scale distributed real-time embedded middleware applications with novel capabilities, including (i) transparent, yet tunable, fault tolerance in real time, (ii) proactive dependability, (iii) resource-aware system adaptation to crash, communication, partitioning and timing faults with (iv) scalable and fast ...

This article addresses the problem that quadrotor unmanned aerial vehicle (UAV) actuator faults, including small-amplitude bias faults and gain degradation, cannot be detected in time. A hybrid observer, which combines fast convergence from adaptive observer strong robustness sliding mode is proposed to detect estimate UAV accurately with model uncertainties disturbances. nonlinear disturbances...