Abstract: An optically tunable optoelectronic oscillator (OEO) with a wide frequency tunable range incorporating a tunable microwave photonic filter implemented based on phase-modulation to ...

Abstract: Wafer maps provide important information for engineers in identifying root causes of die failures during semiconductor manufacturing processes. We present a method for wafer map defect ...

Abstract: With urbanization, rising income and consumption, the production of waste increases. One of the most important directions in the field of sustainable development is the design and ...

Abstract: This paper proposed a hybrid analytical model for predicting the magnetic field distribution of slotted surface-mounted permanent magnet linear motor considering both iron saturation and end ...

Abstract: With the growing complexity of the modern industrial process, monitoring large-scale plant-wide processes has become quite popular. Unlike traditional processes, the measured data in the ...

Abstract: Battery energy storage systems (BESS) are a critical technology for integrating high penetration renewable power on an intelligent electrical grid. As limited energy restricts the ...

Abstract: It is an exciting time for power systems as there are many ground-breaking changes happening simultaneously. There is a global consensus in increasing the share of renewable energy-based ...

Abstract: In this paper a smooth starter, based on a dc/dc Buck power converter, for the angular velocity trajectory tracking task of a dc permanent magnet motor is presented. To this end, a ...

Abstract: Dc offset and gain errors are common failures in current sensor which may be caused by drift in the temperature and supply voltage. The wrong feedback deteriorates the current tracking ...

Abstract: Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature ...

Abstract: Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary algorithms to approximate the optimal solutions of large-scale multiobjective optimization ...

Abstract: Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique memory function. This article presents a design of a new Hopfield neural network (HNN) that can ...