This paper presents a novel approach for fault type estimation in power systems. The Fault type estimation is the first step to estimate instantaneous voltage, voltage sag magnitude and duration in a three-phase system at fault duration. The approach is based on time-domain state estimation where redundant measurements are available. The current based model allows a linear mapping between the m...

This paper presents a diagnostic method of inverter open-switch and open-phase faults in multiphase permanent magnet synchronous motor (PMSM) drives. First defined are adequate variables called virtual current vectors. The projection the zero-sequence component on these was used to define two simple fault indices. High sensitivity is thus induced but with good robustness transient states variat...

With increasing chip interconnect distances, openinterconnect is becoming an important defect. The main challenge with open-interconnects stems from its non-deterministic real-life behavior. In this work, we present an efficient diagnostic technique for multiple openinterconnects. The algorithm proceeds in two phases. During the first phase, potential solution sets are identified following a mo...

Due to the possibility of putting a large number of modules consisting of switches and capacitors connected in series, the modular multilevel converter (MMC) can easily be scaled to high power and high voltage power conversion, which is an attractive feature for filter-less and transformer-less design and helpful to achieve high efficiency. However, a significantly increased amount of sub-modul...

This paper presents the design, simulation and implementation of an adaptive mho distance relay to compensate during a phase-to-phase fault with fault resistance using the KU method. The phaseto-phase fault with fault resistance occasionally produces a trajectory of impedance outside the zone of the distance relay protection. Therefore, in this case, the distance relay will not send the trip co...

This paper proposes a heuristic triple layered particle swarm optimization–backpropagation (PSO-BP) neural network method for improving the convergence and prediction accuracy of the fault diagnosis system of the photovoltaic (PV) array. The parameters, open-circuit voltage (Voc), short-circuit current (Isc), maximum power (Pm) and voltage at maximum power point (Vm) are extracted from the outp...

Arc fault is one of the most critical reasons for electrical fires. Due to the diversity, randomness and concealment of arc faults in low-voltage circuits, it is difficult for general methods to protect all loads from series arc faults. From the analysis of many series arc faults, a large number of high frequency signals generated in circuits are found. These signals are easily affected by Gaus...

In this paper, different routing techniques using decision logic with identity circuit to identify the faulty element in FPGA interconnects are presented. The fault model we use here is stuck-open and resistive-open for interconnects. This technique is implemented in FPGA chips and verified using fault emulation. Failure analysis and the yield enhancement process are done by using high resoluti...

this paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. in the proposed scheme, flux linkage analysis is used to reach a decision. probabilistic neural network (pnn) and discrete wavelet transform (dwt) are used in design of fault diagnosis system. pnn as main part of thi...