• Title/Summary/Keyword: Real time diagnosis

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Normalization Diagnosis of Aging Process on Partial Discharge Signals of CV Cable (CV케이블의 부분방전 신호를 통한 열화과정의 정량적 진단)

  • 소순열;임장섭;김진사;이준웅;김태성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1997.11a
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    • pp.451-455
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    • 1997
  • The partial discharge has been blown as the chief breakdown of power equipments. The analysis and the recognition is much difficult because the partial discharge signal is very small and has complex aging pattern. Recently, insulation aging diagnosis based on pattern of phase(Ф), partial discharge magnitude(q), number(n) has been very important. Owing to depreciate the reappearance of aging progress at the electrical tree pattern and to be difficult to analyze visually, the study on partial discharge pattern is suggested to normalizing analysis method of partial discharge signals. This parer is purposed on prediction of life-time measurement of cv-cable, on decision of risk degree with normalization and real-time measurement of partial discharge signals for aging diagnosis of cv-cable. As normalizing the aging signals of electrical tree in cv-cable, it is able to confirm risk degree of insulation material with the distribution of Ф-q-n and recognize the process of aging pattern using neural network.

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Improving Real-Time Efficiency of Case Retrieving Process for Case-Based Reasoning

  • Park, Yoon-Joo
    • Asia pacific journal of information systems
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    • v.25 no.4
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    • pp.626-641
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    • 2015
  • Conventional case-based reasoning (CBR) does not perform efficiently for high-volume datasets because of case retrieval time. To overcome this problem, previous research suggested clustering a case base into several small groups and retrieving neighbors within a corresponding group to a target case. However, this approach generally produces less accurate predictive performance than the conventional CBR. This paper proposes a new case-based reasoning method called the clustering-merging CBR (CM-CBR). The CM-CBR method dynamically indexes a search pool to retrieve neighbors considering the distance between a target case and the centroid of a corresponding cluster. This method is applied to three real-life medical datasets. Results show that the proposed CM-CBR method produces similar or better predictive performance than the conventional CBR and clustering-CBR methods in numerous cases with significantly less computational cost.

Fault Detection and Diagnosis Systems of Induction Machines using Real-Time Stochastic Modeling Approach (실시간 확률 모델링 기법을 이용한 유도기기의 고장검출 및 진단시스템)

  • Lee, Jin-Woo;Kim, Kwang-Soo;Cho, Hyun-Cheol;Lee, Young-Jin;Lee, Kwon-Soon
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.58 no.3
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    • pp.241-248
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    • 2009
  • This paper presents stochastic methodology based fault detection algorithm for induction motor systems. We measure current of healthy induction motors by means of hall sensor systems and then establish its probability distribution. We propose online probability density estimation which is effective in real-time implementation due to its simplicity and low computational burden. In addition, we accomplish theoretical analysis of the proposed estimation to demonstrate its convergence property by using statistical convergence and system stability theories. We apply our fault detection approach to three-phase induction motors and achieve real-time experiment for evaluating its reliability and practicability in industrial fields.

The Remote Supevisory of Chip Mounter Using Web (Web 기반 Chip Mounter의 원격 관리)

  • 임선종;박경택
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.488-491
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    • 2002
  • This growth if WWW(World Wide Web) with the spread of ADSL provides us with a variety of service that are the extensions of opportunities to get information. a various education methods by remote courses and electronic commerce. Remote Monitoring Server(RMS) that uses internet and WWW is constructed for chip mounter. Hardware base consists of RMS, chip mounter and C/S server. In this paper, we realize the remote management system with monitoring and diagnosis function to efficiently operate chip mounter the one of PCB assembly equipment. The remote management system for chip mounter consists of RMS(Remote Monitoring Server) and C/S server. RMS manages real-time information from chip mounter through TCP/IP. RMS that utilizes real-time information informs user of the actual output the operation status of chip mounter, user of the actual output, the operation status of chip mounter, the trouble code and the trouble description.

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Model Reference Adaptive Control of Systems with Actuator Failures through Fault Diagnosis

  • Choi, Jae-Weon;Lee, Seung-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.125.4-125
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    • 2001
  • The problem of recongurable ight control is investigated, focusing on model reference adaptive control(MRAC) through imprecise fault diagnosis. The method integrates the fault detection and isolation(FDI) scheme with the model reference adaptive control, and can be implemented on-line and in real-time. The algorithm can cope with the fast varying parameters. The Simulation results demonstrate the ability of reconguration to maintain the stability and acceptable performance after a failure.

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Hardware Implementation of a Logic Based Expert System for Power System Fault Diagnosis (전력계통 고장진단을 위한 논리기반 전문가시스템의 하드웨어 구현)

  • Park, Young-Moon;Jung, Queue-Wan
    • Proceedings of the KIEE Conference
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    • 1997.07c
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    • pp.930-932
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    • 1997
  • Logic Based Expert System (LBES) has the advantage of real-time inference. This paper shows a LBES for fault diagnosis of power system and proposes the hardware implementation of LBES. Besides, having a power system topology in memory chip, proposed system is apt to be applicable to other system with low changing cost.

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Diagnosis of HSC Convective Flow Using a Digital Holographic Interferometry and PIV System (디지털 홀로그래픽 간섭계와 PIV를 이용한 Hele-Shaw Cell 내부 열유동 해석)

  • Kim, Seok;Lee, Sang-Joon
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.28 no.4
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    • pp.493-499
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    • 2004
  • Variations of temperature and velocity fields in a Hele-Shaw convection cell (HSC) were investigated using a holographic interferometry and 2-D PIV system with varying Rayleigh number. To measure quasi-steady variation of temperature field, two different measurement methods of holographic interferometry, double-exposure method and real-time method, were employed. In the double-exposure method, unwanted waves were eliminated effectively using a digital image processing technique. The reconstructed images are clear, but transient flow cannot be reconstructed clearly. On the other hand, transient convective flow can be reconstructed well using the real-time method. However, the fringe patterns reconstructed by the real-time method contain more noises, compared with the double-exposure method. Experimental results show a steady flow pattern at low Rayleigh numbers and a time-dependent periodic flow structure at high Rayleigh numbers. The periodic flow pattern at high Rayleigh numbers obtained by the real-time holographic interferometer method is in a good agreement with the PIV results.

A development of Diagnosis Monitoring System for UPS DC Link Capacitors using Zigbee Wireless Communication (Zigbee 무선통신을 이용한 UPS DC링크 커패시터의 고장 모니터링 시스템 개발)

  • Kim, Dong-Jun;Shon, Jin-Geun;Jeon, Hee-Jong
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.61 no.1
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    • pp.41-46
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    • 2012
  • Electrolytic power capacitors have been widely used in power conversion system such as inverter or UPS because of characteristics of large capacitance, high-voltage and low-cost. The electrolytic capacitor, which is most of the time affected by the aging effect, plays a very important role for the power-electronics system quality and reliability. Therefore it is important to diagnosis monitoring the condition of an electrolytic capacitor in real-time to predict the failure. In this paper, the on-line remote diagnosis monitoring system for UPS DC link electrolytic capacitors using low-cost single-chip zigbee communication modules is developed. To estimate the health status of the capacitor, the equivalent series resistor(ESR) of the component has to be determined. The capacitor ESR is estimated by using RMS computation using BPF modeling of DC link ripple voltage/current. Zigbee-based hardware experimental results show that the proposed remote capacitor diagnosis monitoring system can be applied to UPS successfully.

Early Diagnostic Method of Avian Influenza Virus Subtype Using Ultra Real-Time PCR (Ultra Real-Time PCR을 활용한 Avian Influenza Virus Subtype의 조기진단법)

  • Kim, Sang-Tae;Kim, Young-Kyoon;Kim, Jang-Su
    • Korean Journal of Microbiology
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    • v.47 no.1
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    • pp.30-37
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    • 2011
  • This ultra real-time PCR (UPCR) based diagnosis system for avian influenza A virus (AIV) subtype was designed. The target primer in this study was derived from H5N1 subtype-specific 133 bp partial gene of hemagglutinin (HA), and was synthesized by using PCR-based gene synthesis on the ground of safety. UPCR was operated by Mini-Opticon Q-PCR Quantitative Thermal Cycler using aptamer-based molecular beacon, total 10 ${\mu}l$ of reaction mixture with extraordinarily short time in each steps in PCR. The detection including UPCR and analysis of melting temperature was totally operated within 15 min. The AIV-specific 133 bp PCR product was correctly amplified until 5 molecules of HA gene as minimum of templates. This kind of PCR was drafted as UPCR in this study and it could be used to detect not only AIV subtype, but also other pathogens using UPCR-based diagnosis.

Development of Real-time PCR Assay Based on Hydrolysis Probe for Detection of Epichloë spp. and Toxic Alkaloid Synthesis Genes

  • Lee, Ki-Won;Woo, Jae Hoon;Song, Yowook;Rahman, Md Atikur;Lee, Sang-Hoon
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.42 no.3
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    • pp.201-207
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    • 2022
  • Fescues, which are widely cultivated as grasses and forages around the world, are often naturally infected with the endophyte, Epichloë. This fungus, transmitted through seeds, imparts resistance to drying and herbivorous insects in its host without causing any external damage, thereby contributing to the adaptation of the host to the environment and maintaining a symbiosis. However, some endophytes, such as E. coenophialum synthesize ergovaline or lolitrem B, which accumulate in the plant and impart anti-mammalian properties. For example, when livestock consume excessive amounts of grass containing toxic endophytes, problems associated with neuromuscular abnormalities, such as convulsions, paralysis, high fever, decreased milk production, reproductive disorders, and even death, can occur. Therefore, pre-inoculation with non-toxic endogenous fungi or management with endophyte-free grass is important in preventing damage to livestock and producing high-quality forage. To date, the diagnosis of endophytes has been mainly performed by observation under a microscope following staining, or by performing an immune blot assay using a monoclonal antibody. Recently, the polymerase chain reaction (PCR)-based molecular diagnostic method is gaining importance in the fields of agriculture, livestock, and healthcare given the method's advantages. These include faster results, with greater accuracy and sensitivity than those obtained using conventional diagnostic methods. For the diagnosis of endophytes, the nested PCR method is the only available option developed; however, it is limited by the fact that the level of toxic alkaloid synthesis cannot be estimated. Therefore, in this study, we aimed to develop a triplex real-time PCR diagnostic method that can determine the presence or absence of endophyte infection using DNA extracted from seeds within 1 h, while simultaneously detecting easD and LtmC genes, which are related to toxic alkaloid synthesis. This new method was then also applied to real field samples.