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3
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3144416
Abstract: Partial discharges (PD) are the most common and harmful threat to the health of electrical insulation of high voltage (HV) and high field (HF) equipment. The occurrence of PD activity in HV and MV equipment…
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Keywords:
equipment;
detection;
power equipment;
high voltage ... See more keywords
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Published in 2018 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.2018.1700880
Abstract: Smart cities are systematically promoting the transition to sustainable and effective energy systems by promoting policies for energy efficiency, regionalized/distributed renewable energy generation, and intelligent energy management. In particular, this transition toward a more integrated…
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Keywords:
management;
equipment management;
power equipment;
energy ... See more keywords
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1
Published in 2019 at "IEEE Transactions on Dielectrics and Electrical Insulation"
DOI: 10.1109/tdei.2018.007675
Abstract: C5-PFK has attracted much attention as one of the most promising SF6 substitutes for medium voltage (MV) power equipment because of its high insulation strength and low global warming potential (GWP). In this paper, the…
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Keywords:
power equipment;
pfk air;
properties pfk;
pfk ... See more keywords
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1
Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3017080
Abstract: Power equipment is one kind of basic element in smart grid, and how to design an efficient detection and analysis scheme of electric signature (ES) for power equipment failure (PEF) monitoring is a key and…
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Keywords:
detection analysis;
power equipment;
time;
time frequency ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3191709
Abstract: Reading power equipment meters often requires loads of manpower, which is a trivial, repetitive, and error-prone task. While conventional automated recognition methods using computer vision (CV) techniques are inflexible under diverse scenarios, in this article,…
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Keywords:
meter recognition;
power;
deep learning;
meter ... See more keywords
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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3272051
Abstract: Oil leakage will cause abnormal temperature rise and discharge of oil-filled power equipment, which seriously threatens insulation reliability. In this article, based on the synchronous fluorescence spectra (SFS) and excitation emission matrix (EEM) of mineral…
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Keywords:
oil;
power equipment;
oil leakage;
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2864717
Abstract: Infrared image of power equipment is widely used in power equipment fault detection, and segmentation of infrared images is an important step in power equipment thermal fault detection. Nevertheless, since the overlap of the equipment,…
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Keywords:
power equipment;
instance segmentation;
equipment;
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Published in 2020 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/1729881419900836
Abstract: The application of remote digital video surveillance and image recognition technology in online monitoring of power equipment is conducive to timely equipment maintenance and troubleshooting. In order to solve the problem of slow speed and…
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Keywords:
equipment;
image recognition;
power equipment;
power ... See more keywords
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Published in 2018 at "Open Physics"
DOI: 10.1515/phys-2018-0084
Abstract: Abstract The temperature detection and alarm system of power equipment is supposed to be used in power accidents caused by overheating. In our experiment, we build a system to detect the temperature of electrical power…
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Keywords:
temperature detection;
system;
power equipment;
power ... See more keywords