Neural Network based p-q-r Theory for Harmonic Reduction and Neutral Current Mitigation
نویسندگان
چکیده
منابع مشابه
The dual superconformal theory for L p , q , r manifolds
We present the superconformal gauge theory living on the world-volume of D3 branes probing the toric singularities with horizon the recently discovered Sasaki-Einstein manifolds L. Various checks of the identification are made by comparing the central charge and the R-charges of the chiral fields with the information that can be extracted from toric geometry. Fractional branes are also introduc...
متن کاملNew Methods for Harmonic Reduction in T. C. R. by Sequence Control of Transformer Taps
Thyristor controlled static compensators consist of two basic schemes, TCR and TSC. Owing to the discontinuous current in TCR, current harmonics are generated in the supply system. This paper introduces two methods for the reduction of these harmonics. On the basis of the coordination or uncoordination of turn ratios with harmonic reduction levels, each method is described in two alternative sc...
متن کاملComparison of Neural Network and Fast Fourier Transform Based Selective Harmonic Extraction and Total Harmonic Reduction for Power Electronic Converters
A new strategy to estimate harmonic distortion from an AC line is presented for power electronic converters. An Adaptive linear neural network (ADALINE) is used to determine precisely the necessary currents in order to cancel harmonics. The proposed strategy is based on an original decomposition of the measured currents to specify the neural network inputs. This new decomposition is based on th...
متن کاملN , p , q ) Harmonic Superspace G . G . Hartwell and P .
A family of harmonic superspaces associated with four-dimensional Minkowski spacetime is described. Applications are given to free mass-less supermultiplets, invariant integrals and super Yang-Mills. The generalisation to curved spacetimes is given with emphasis on confor-mal supergravities.
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2018
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v8i2.pp825-836