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This paper proposes an adaptive multiclass neurofuzzy classifier (MC-NFC) for fault detection and classification in solar photovoltaic (PV) systems. The designed fuzzy classifier was optimized by seeking for the best numerical values of the parameters that tune its membership functions. The experiments have been conducted on the basis of collected data from a real time PV array emulator (namely array...
This paper proposes a real time scalar control of induction motor by using RT-LAB software. This method of control leads to be able to adjust the speed of the motor by control the frequency and stator voltage magnitude, the ratio of stator voltage magnitude to frequency should be kept constant, which is called as scalar control of induction motor. The real-time scalar control algorithm is designed...
Recent technological advances allowed the word to construct several wearable products that can capture and process the human body bio-signals. The PPG signal becomes one of the most contenders in heart rate monitoring due to their prominent features, flexibility, effectiveness and low costs. This paper present a novel System of PPG Heart rate calculation based on FPGA, using the Pan and Tompkins as...
This paper presents a real time simulation of doubly-fed induction generator (DFIG) control for wind turbine generation system (WTGS). A decoupled power control based algorithm is used to drive the whole system. Where two PI controllers are designed in order handle the active and reactive powers, while a third one is employed to keep a same voltage in the DC-Link. In order to verify the whole algorithm,...
In this paper an approach is developed for the online diagnosis of timed discrete events systems, the formalism used is the labeled timed Petri nets. We have introduced a new concept is: enriched set of possible states. In addition to online diagnosis our approach allows us to avoid the combinatorial explosion of states.
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