The fault protection is a critical element to ensure the reliable and secure operation of DC distribution systems. Most DC distribution systems are tightly coupled systems with low line impedances which may result in fast current increase during a fault. Thus, it is challenging to develop a fast and reliable DC fault protection method. This paper proposes and develops a novel fault inductance b...

The performance of ad hoc routing protocols will significantly degrade, if there are malfunctioned nodes in the network. Fault tolerant routing protocols address this problem by exploring the network redundancy through multipath routing. Designing an effective and efficient fault tolerant routing protocol is inherently hard, because the problem is NP-complete and the precise path information is...

The additive fault tolerant control (FTC) for delayed system is studied in this work. To design the additive control, two steps are necessary; the first one is the estimation of the sensor fault amplitude using a Luenberger observer with delay, and the second one consists to generate the additive fault tolerant control law and to add it to the nominal control of delayed system. The additive con...

In this paper, a non-dominated sorting based multi objective EA (MOEA), called Elitist non dominated sorting genetic algorithm (Elitist NSGA) has been presented for solving the fault section estimation problem in automated distribution systems, which alleviates the difficulties associated with conventional techniques of fault section estimation. Due to the presence of various conflicting object...

The paper presents a model-based fault detection method for pitch actuators faults using the normalized gradient method to estimate the parameters of the pitch actuator. One major difficulty is that the input signal to the parametric estimation method must be a persistent excitation. To circumvent this, a chattering term is added to the pitch control law and the usual low-pass filters are not u...

This paper addresses the problem of detecting, discriminating, and reconstructing sensor faults for nonlinear systems with known model structure but uncertainty in the parameters of the process. The convenience of the proposed technique lies in the fact that historical operational data and/or a priori fault information is not required to achieve accurate fault reconstruction except for fixed, s...

This paper presents the analysis of errors produced by block matching motion estimation methods with lower computational cost (fast search algorithms). We try to find an answer on the question what measure can be used to determine correctness of searched motion vectors and which motion vectors are founded as fault (corrupted by noise). We consider the vector fields obtained by using of full sea...

This paper addresses the problem of fault diagnosis in a robotic manipulator designed for human interaction. Faults in the external force sensor are addressed with a constant or slowly time-varying profile. A model-based strategy is considered that takes into account uncertainty in the mathematical representation, where a proportional-integral (PI) observer is in charge of estimating the fault ...