• Title/Summary/Keyword: current detecting

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A Study on Series Arc Detection Algorithm for the Consumer Appliances (가정용 부하에서 발생하는 직렬아크 신호분석 및 검출알고리즘)

  • Lim, Jong-Ung;Bang, Sun-Bae;Cho, Younghoon;Choe, Gyu-Ha
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.351-352
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    • 2014
  • In this paper, series-arc detection algorithm for the consumer appliances is proposed. This algorithm uses varying frequency and RMS values at series-arc state. This is confirmed to emulate arc detecting with measuring current data.

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The study on the prevention of DC feeder line cable grounding fault (DC 급전케이블 지락사고 보호방안에 관한 연구)

  • Park, Ji-Soo;Song, Joong-Ho;Park, Joung-Wook
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.202-207
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    • 2008
  • This study provides review and improvement plans for the possible problems caused when the CV cable is used as a positive feeder line which supplies power from the DC HSCB (high-speed circuit breaker) to the catenariesin Seoul Metro which is using direct-current feeder method. In detail, this study contributes to stabilizing the power line by triggering a protective device by instantly detecting potential rise which happens when grounding fault occurs in non-grounding type CV cable shield.

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Clinical Application of Chromosomal Microarray for Germline Disorders

  • Chang Ahn Seol
    • Journal of Interdisciplinary Genomics
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    • v.5 no.2
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    • pp.24-28
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    • 2023
  • Chromosomal microarray (CMA) is primarily recommended for detecting clinically significant copy number variants (CNVs) in the genetic diagnosis of developmental delay, intellectual disability, autism, and congenital malformations. Prenatal CMA is recommended when a fetus has major congenital malformations. The main principles of CMA can be divided into array comparative genomic hybridization and single-nucleotide polymorphism arrays. In the current CMA platforms, these two principles are combined, and detection of genetic abnormalities including CNVs and absence of heterozygosity is facilitated. In this review, I described practical assessment of CMA testing regarding to laboratory management of CMA, interpretation of CNVs, and special considerations for comprehensive genetic counseling.

Role of artificial intelligence in diagnosing Barrett's esophagus-related neoplasia

  • Michael Meinikheim;Helmut Messmann;Alanna Ebigbo
    • Clinical Endoscopy
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    • v.56 no.1
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    • pp.14-22
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    • 2023
  • Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett's esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett's esophagus and elaborate on potential artificial intelligence in the future.

Research of an On-Line Measurement Method for High-power IGBT Collector Current

  • Hu, Liangdeng;Sun, Chi;Zhao, Zhihua
    • Journal of Power Electronics
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    • v.16 no.1
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    • pp.362-373
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    • 2016
  • The on-line measurement of high-power IGBT collector current is important for the hierarchical control and short-circuit and overcurrent protection of its driver and the sensorless control of the converter. The conventional on-line measurement methods for IGBT collector current are not suitable for engineering measurement due to their large-size, high-cost, low-efficiency sensors, current transformers or dividers, etc. Based on the gate driver, this paper has proposed a current measuring circuit for IGBT collector current. The circuit is used to conduct non-intervention on-line measurement of IGBT collector current by detecting the voltage drop of the IGBT power emitter and the auxiliary emitter terminals. A theoretical analysis verifies the feasibility of this circuit. The circuit adopts an operational amplifier for impedance isolation to prevent the measuring circuit from affecting the dynamic performance of the IGBT. Due to using the scheme for integration first and amplification afterwards, the difficult problem of achieving high accuracy in the transient-state and on-state measurement of the voltage between the terminals of IGBT power emitter and the auxiliary emitter (uEe) has been solved. This is impossible for a conventional detector. On this basis, the adoption of a two-stage operational amplifier can better meet the requirements of high bandwidth measurement under the conditions of a small signal with a large gain. Finally, various experiments have been carried out under the conditions of several typical loads (resistance-inductance load, resistance load and inductance load), different IGBT junction temperatures, soft short-circuits and hard short-circuits for the on-line measurement of IGBT collector current. This is aided by the capacitor voltage which is the integration result of the voltage uEe. The results show that the proposed method of measuring IGBT collector current is feasible and effective.

A pin type current probe using Planar Hall Resistance magnetic sensor (PHR 자기센서를 적용한 탐침형 전류 프로브)

  • Lee, Dae-Sung;Lee, Nam-Young;Hong, Sung-Min;Kim, CheolGi
    • Journal of Sensor Science and Technology
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    • v.30 no.5
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    • pp.342-348
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    • 2021
  • For the characterization or failure analysis of electronic devices such as PCB (printed circuit boards), the most common method is the measurement of voltage waveforms with an oscilloscope. However, because there are many types of problems that cannot be detected by voltage waveform analysis, several other methods such as X-ray transmission, infrared imaging, or eddy current measurement have been applied for these analyses. However, these methods have also been limited to general analyses because they are partially useful in detecting physical defects, such as disconnections or short circuits. Fundamentally current waveform measurements during the operation of electronic devices need to be performed, however, commercially available current sensors have not yet been developed, particularly for applications in highly integrated PCB products with sub-millimeter fine pitch. In this study, we developed a highly sensitive PHR (planar hall resistance) magnetic sensor for application in highly integrated PCBs. The developed magnetic sensor exhibited sufficient features of an ultra-small size of less than 340 ㎛, magnetic field resolution of 10 nT, and current resolution of 1 mA, which can be applicable for PCB analyses. In this work, we introduce the development process of the magnetic sensing probe and its characteristic results in detail, and aim to extend this pin-type current probe to applications such as current distribution imaging of PCBs.

A Studying on Gap Sensing using Fuzzy Filter and ART2 (퍼지필터와 ART2를 이용한 선박용 용접기술개발)

  • 김관형;이재현;이상배
    • Journal of Korean Port Research
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    • v.14 no.3
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    • pp.321-329
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    • 2000
  • Welding is essential for the manufacture of a range of engineering components which may vary from very large structures such as ships and bridges to very complex structures such as aircraft engines, or miniature components for microelectronic applications. Especially, a domestic situation of the welding automation is still depend on the arc sensing system in comparison to the vision sensing system. Specially, the gap-detecting of workpiece using conventional arc sensor is proposed in this study. As a same principle, a welding current varies with the size of a welding gap. This study introduce to the fuzzy membership filter to cancel a high frequency noise of welding current, and ART2 which has the competitive learning network classifies the signal patterns the filtered welding signal. A welding current possesses a specific pattern according to the existence or the size of a welding gap. These specific patterns result in different classification in comparison with an occasion for no welding gap. The patterns in each case of 1mm, 2mm, 3mm and no welding gap are identified by the artificial neural network.

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A Study on Displacement Current Characteristics of DLPC Monolayer (I) (DLPC 인지질 단분자막의 변위전류 특성 연구 (I))

  • Song, Jin-Won;Lee, Kyung-Sup;Choi, Yong-Sung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.1
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    • pp.117-122
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    • 2007
  • LB method is one of the most interesting technique to arrange certain molecular groups at precise position relative to others. Also, the LB deposition technique can fabricate extremely thin organic films with a high degree of control over their thickness and molecular architecture. In this way, new thin film materials can be built up at the molecular level, and the relationship between these artificial structures and the properties of materials can be explored. In this paper, evaluation of physical properties was made for dielectric relaxation phenomena by the detection of the surface pressures and displacements current on the monolayer films of phospolipid monomolecular DLPC. Lipid thin films were manufacture by detecting deposition for the accumulation and the current was measured after the electric bias was applied across the manufactured MIM device. It is found that the phospolipid monolayer of dielectric relaxation takes a little time and depend on the molecular area. When electric bias is applied across the manufactured MIM device by the deposition condition of phospolipid mono-layer, it wasn't breakdown when the higher electric field to impress by increase of deposition layers.

A Study for the Improvement of the Fault Decision Capability of FRTU using Discrete Wavelet Transform and Neural Network (이산 웨이블릿 변환과 신경회로망을 이용한 FRTU의 고장판단 능력 개선에 관한 연구)

  • Hong, Dae-Seung;Ko, Yoon-Seok;Kang, Tae-Ku;Park, Hak-Yeol;Yim, Hwa-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1183-1190
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    • 2007
  • This paper proposes the improved fault decision algorithm using DWT(Discrete Wavelet Transform) and ANNs for the FRTU(Feeder Remote Terminal Unit) on the feeder in the power distribution system. Generally, the FRTU has the fault decision scheme detecting the phase fault, the ground fault. Especially FRTU has the function for 2000ms. This function doesn't operate FI(Fault Indicator) for the Inrush current generated in switching time. But it has a defect making it impossible for the FI to be operated from the real fault current in inrush restraint time. In such a case, we can not find the fault zone from FI information. Accordingly, the improved fault recognition algorithm is needed to solve this problem. The DWT analysis gives the frequency and time-scale information. The neural network system as a fault recognition was trained to distinguish the inrush current from the fault status by a gradient descent method. In this paper, fault recognition algorithm is improved by using voltage monitoring system, DWT and neural network. All of the data were measured in actual 22.9kV power distribution system.

Stator Winding Fault Diagnosis in Small Three-Phase Induction Motors by Park's Vector Approach (Park's Vector 기법을 이용한 소형 3상 유도 전동기의 권선 고장 진단)

  • 박규남;한민관;우혁재;송명현
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.6
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    • pp.1291-1296
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    • 2003
  • This paper deals with efficient diagnostic for stator winding fault of 3-phase induction motor using a current Park's vector approach. This method firstly transforms 3-phase stator current to vertical axis current and horizontal axis current of Park's Vector, and then obtains the each Park's Vector Pattern and detects stator winding fault by comparing to Park's Vector Pattern of healthy and fault. Experimental results, obtained by using induction motor having inter-turn fault of 2, 10, 20 turn, demonstrate the effectiveness of the proposed technique, for detecting the presence of stator winding fault under 25%, 50%, and 100% of full load condition.