This paper proposes a parametric model for inter-turn fault detection in a faulttolerant permanent-magnet (FTPM) machine, which can predict the effect of the shortcircuit fault to various physical quantity of the machine. For different faulty operations, a new effective stator inter-turn fault detection method is proposed. Finally, simulations of vector-controlled FTPM machine drives are given ...

This paper presents a machine learning technique for fault diagnostics in induction motor drives. A normal model and an extensive range of faulted models for the inverter-motor combination were developed and implemented using a generic commercial simulation tool to generate voltages and current signals at a broad range of operating points selected by a machine learning algorithm. A structured n...

The photoluminescence (PL) intensity is often used as an indicator of the performance perovskite solar cells and indeed PL technique for characterization these devices their constituent materials. Herein, a systematic approach presented to comparison conversion efficiency cell in both open-circuit (OC) short-circuit (SC) conditions its application multiple heterogeneous devices. It shown that q...

Ion transport in the giant celled marine alga, Valonia ventricosa, was studied during internal perfusion and short-circuiting of the vacuole potential. The perfusing and bathing solutions were similar to natural Valonia sap and contained the following concentrations of major ions: Na 51, K 618, and Cl 652 mM. The average short-circuit current (I(sc)) was 97 pEq/cm(2) sec (inward positive curren...

This paper presents short-circuit (SC) performance of a commercial silicon-carbide (SiC) MOSFET device under repetitive SC stress at high drain source voltage. Two protocols are investigated to evaluate the impact gate-source voltage (VGS) depolarization and duration (TSC) reduction. The VGS depolarisation provides power density reduction allows preserve secure failure mode (FTO: Fail To Open) ...

In recent years, the rapid increase in the market for hybrid electric vehicles has generated great demand for lowcost, high-volume, high-temperature power converters that can work in harsh environment (temperature ≥ 150°C) conditions. Most of the commercially available power semiconductor devices and associated control electronics are rated for maximum of 85°C ambient temperature. Under this ci...

In order to accurately recognize the stator winding inter-turn short circuit fault of induction motors, a novel method for fault diagnosis was proposed based on a bare-bones particle swarm optimization algorithm (BBPSO) and support vector machine (SVM); and feasible diagnostic steps were also introduced. In this method, the feature vector of induction motor in different conditions was extracted...

This thesis report describes an adaptive, self-checking algorithm for controlled short-circuit (fault) interruption in conjunction with high voltage alternating current SF6 circuitbreakers. The primary objective of controlled short-circuit interruption is to restrict the arcing time of the circuit-breaker to a nominal window (near the minimum arcing time) and thereby seek to reduce the electric...

Short circuit currents plays a vital role in influencing the design and operation of equipment and power system and could not be avoided despite careful planning and design, good maintenance and thorough operation of the system. This paper discusses the short circuit analysis conducted in KSO briefly comprising of its significances, methods and results. A result sample of the analysis based on ...

Article history: Received: 9.11.2014. Received in revised form: 4.5.2015. Accepted: 7.5.2015. This paper presents an AdaBoost method based on RVM (Relevance Vector Machine) to detect and locate an interturn short circuit fault in the stator windings of IM (Induction Machine). This method is achieved through constructing an Adaboost combined with a weak RVM multiclassifier based on a binary tree...