This paper presents the design of an additive fault tolerant control for nonlinear time-invariant singularly perturbed systems against actuator faults based on Lyapunov redesign principle. The overall system is reduced into subsystems with fast and slow dynamic behavior using singular perturbation method. The time scale reduction is carried out when the singular perturbation parameter is set to...

Multi-microgrid has many new characteristics, such as bi-directional power flows, flexible operation modes and variable fault currents with different control strategy of inverter interfaced distributed generations (IIDGs). All these featuring aspects pose challenges to multi-microgrid protection. In this paper, current and voltage characteristics of different feeders are analyzed when fault occ...

Wireless sensors have attracted many researchers' attention because of their playing the very important role of smooth transition from the existing network to the smart grid. WSN (wireless sensor network) for surveillance of overhead transmission line is very promising for the efficiency as well as the economy. Meanwhile, it put some new challenges because of the N1 principle in the power util...

An approach for fault diagnosis of large-scale analogue circuits using neural networks is presented in the paper. This method is based on the fault dictionary technique, but it can deal with soft faults due to robustness of neural networks. Because the neural networks can create the fault dictionary, memorize and verify it simultaneously, computation time is drastically reduced. Rather than dea...

A fault-tolerant permanent-magnet vernier (FT-PMV) machine is designed for direct-drive applications, incorporating the merits of high torque density and high reliability. Based on the so-called magnetic gearing effect, PMV machines have the ability of high torque density by introducing the flux-modulation poles (FMPs). This paper investigates the fault-tolerant characteristic of PMV machines a...

A deterministic-partitioning technique and an improved analysis scheme for fault diagnosis in Scan-Based BIST is proposed. The incorporation of the superposition principle to the analysis phase of the diagnosis algorithm improves diagnosis times significantly; furthermore, the deterministic partitioning approach results in even further reductions in diagnosis times together with higher predicta...

Assurance cases capture the argumentation that a system is safe by putting together pieces of evidence at different levels of abstraction and of different nature. Managing the interdependencies between these artefacts lies at the heart of any safety argument. Keeping the assurance case complete and consistent with the system is a manual and very ressource consuming process. Current tools do not...

We present a model in which investors observe the same macroeconomic data but have varying levels of information about the parameters that determine the distribution of the expected returns on investment. During a crisis that increases macroeconomic uncertainty and reduces asset prices, the threshold required return that triggers investment is lower for an informed investor than for an uninform...

In this paper, monitoring and sensor fault detection in a waste-water treatment process are discussed. Monitoring is based on the Takagi-Sugeno fuzzy model of a plant process obtained by using Gustafson-Kessel fuzzy clustering algorithm.The paper also explains the principle of the Takagi-Sugeno fuzzy model. The main idea is to cope with the non-linearity of a monitored process. The output of th...

Fault-tolerance is fundamental to the further development of mobile agent applications. In the context of mobile agents, fault-tolerance prevents a partial or complete loss of the agent, i.e., ensures that the agent arrives at its destination. Simple approaches such as checkpointing are prone to blocking. Replication can in principle improve solutions based on checkpointing. However, existing s...