comparemela.com

Discrete Fourier Transform News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Calibration System for High-Voltage Transformers With Multiharmonic Di by Imanka Jayathilaka, Wei Yan et al

Non-ideal frequency response (FR) and voltage non-linearity of high-voltage (HV) instrument transformers directly impact the accuracy of HV measurements in the presence of harmonics. Characterization of voltage instrument transformer FR is generally performed at low voltage (LV) with sinusoidal test signals. Those results may not accurately represent the response of the instrument transformer when subjected to distorted waveforms in modern power systems. This article presents a calibration system for the evaluation of harmonic measurement accuracy of single-phase instrument transformers with rated voltages up to 132/\surd 3 kV using multitone test signals containing a HV fundamental component and superimposed harmonics up to 10 kHz. Such signals would represent the realistic operating conditions of HV instrument transformers. The performance of the developed system was analyzed by obtaining the voltage ratio and phase displacement of the reference capacitive voltage divider (CVD) from

Electronics | Free Full-Text | MeMPA: A Memory Mapped M-SIMD Co-Processor to Cope with the Memory Wall Issue

The amazing development of transistor technology has been the main driving force behind modern electronics. Over time, this process has slowed down introducing performance bottlenecks in data-intensive applications. A main cause is the classical von Neumann architecture, which entails constant data exchanges between processing units and data memory, wasting time and power. As a possible alternative, the Beyond von Neumann approach is now rapidly spreading. Although architectures following this paradigm vary a lot in layout and functioning, they all share the same principle: bringing computing elements as near as possible to memory while inserting customized processing elements, able to elaborate more data. Thus, power and time are saved through parallel execution and usage of processing components with local memory elements, optimized for running data-intensive algorithms. Here, a new memory-mapped co-processor (MeMPA) is presented to boost systems performance. MeMPA relies on a progra

vimarsana © 2020. All Rights Reserved.