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- Volume 15, Issue 1, 2022
Recent Advances in Electrical & Electronic Engineering - Volume 15, Issue 1, 2022
Volume 15, Issue 1, 2022
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Application of Bare-bones Cuckoo Search Algorithm for Generator Fault Diagnosis
Authors: Yan Xiong and Jiatang ChengBackground: The generator is a mechanical device that converts other forms of energy into electrical energy. It is widely used in industrial and agricultural production and daily life. Methods: To improve the accuracy of generator fault diagnosis, a fault classification method based on the Bare-bones Cuckoo Search (BBCS) algorithm combined with an artificial neural network is proposed. For this BBCS method, the bare-bo Read More
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A Categorical Review on First Order Universal Filters
Authors: Bhartendu Chaturvedi, Jitendra Mohan and Jitender ChhabraThis paper highlights the notable individual contributions of the researchers in the field of first-order universal filters, and additionally, segregates the reviewed works amongst various scientifically chosen categories. Relevant first-order universal filter circuits reported in the last two decades are chosen for the review. The segregation categories are based on the well-recognized signal processing features, such as the mode of Read More
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Temperature Field Analysis and Cooling Structure Design of Ironless Permanent Magnet Synchronous Linear Motor
Authors: Xiaoting Lu, Yang Li and Zailiang ChenObjective: Ironless, permanent magnet, synchronous linear (IPMSL) motors are applied widely in precision servo control for the nonexistence of cogging forces and comparatively small fluctuations in thrust and speed. Methods: The air and water cooling structures are designed by assuming the heat loss in the motor operations is the source for the distribution of the temperature field in the analysis under natural cooling. Res Read More
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Denoising and Restoring of Infrared Image of Power Equipment Based on l2-relaxed l0 Sparse Analysis Priors
Authors: Xuejun Chen, Lin Ma and Jianhuang ZhuangBackground: The infrared image of electrical equipment often contains snow or is blurred, which makes it difficult to detect and analyze its state. Methods: A prior infrared image denoising and restoring method based on L2-relaxation L0 analysis is proposed. Through the prior image estimation, the problem of image de-blurring and denoising is transformed into the problem of solving the maximum entropy of a poste Read More
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A Novel Approach to Transformer Fault Diagnosis Based on Transfer Learning
Authors: Su Chao, Bai Hao and Chen WenquanBackground: The condition of the power transformer directly affects the reliability and efficiency of the power system. The dissolved gas analysis (DGA) has been widely recognized as one of the effective methods in the field of transformer fault diagnosis. Objective: To tackle the problem of insufficient single transformer fault data and weak generalization ability of the diagnosis model, this paper proposes a transformer fault Read More
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Optimized Algebraic Algorithm for Ambiguity Resolution and DOA Computation in Baseline Interferometer
Authors: Sudha R. Suram, Niranjan Prasad and Sasibhushana Rao GottapuBackground: Interferometer is the most preferred technique for high accuracy direction finding. For broadband direction finding (DF) applications, multiple antennas forming a number of baselines are used to achieve better accuracy in measuring the direction of arrival (DOA). Ambiguity resolution in multi-element interferometers is a crucial algorithm for the computation of DOA. Objective: This paper introduces a fast, al Read More
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Realization of Seventh-Order Chebyshev Active Low-Pass Filter
By Yong-An LiBackground: CCCII implementation of the classic seventh-order Chebyshev filter is relatively rare. This work is a supplement to it. Methods: By a floating negative simulating resistance using single the second generation currentcontrolled conveyor (CCCII), we design a new current buffer to employ one CCCII and one multiple output CCCII (MOCCCII), and a new grounded MOCCCII-employed the Frequency-Dependent Negativ Read More
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A Comparative Study of DC-DC Buck, Boost, and Buck-boost Converters with Proportional-integral, Sliding Mode, and Fuzzy Logic Controllers
Authors: Arslan A. Amin and Muhammad AbdullahBackground: DC-DC converters are utilized in a wide range of industrial and commercial applications such as automobiles, renewable energy systems, DC motor control, portable chargers, uninterruptable power supply, etc. because of their efficiency, ease of use, simpler circuits, and cheaper solution. The most common ones are the buck, boost, and buck-boost converters. Methods: In this paper, the implementation o Read More
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