• Title/Summary/Keyword: Intelligent diagnosis

검색결과 394건 처리시간 0.031초

인공신경망을 이용한 $SF_6$ 절연파괴 전압 추정 (The presumption that breakdown characteristics of $SF_6$ used to the Neural Network)

  • 최은혁;김태은;임창호;박용권;최상태;이광식
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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    • pp.421-423
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    • 2007
  • The paper used to the Neral Netwok for a forecasting conservation system A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform "intelligent" tasks similar to those performed by the human brain. The true power and advantage of neural network lies in their ability to represent both linear and non-linear relationships and in their ability to learn these relationships directly from the data being modeled. Form results of this study, the Neral Netwok is will play an important role for insulation diagnosis system of real site GIS and power equipment using $SF_6$ gas.

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Application of Standard Terminologies for the Development of a Customized Healthcare Service based on a PHR Platform

  • Jung, Hyun Jung;Park, Hyun Sang;Kim, Hyun Young;Kim, Hwa Sun
    • Journal of Multimedia Information System
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    • 제6권4호
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    • pp.303-308
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    • 2019
  • The personal health record platform can store and manage medical records, health-monitoring data such as blood pressure and blood sugar, and life logs generated from various wearable devices. It provides services such as international standard-based medical document management, data pattern analysis and an intelligent inference engine, and disease prediction and domain contents. This study aims to construct a foundation for the transmission of international standard-based medical documents by mapping the diagnosis items of a general health examination, special health examination, life logs, health data, and life habits with the international standard terminology systems. The results of mapping with international standard terminology systems show a high mapping rate of 95.6%, with 78.8% for LOINC, 10.3% for SNOMED, and 6.5% when mapped with both LOINC and SNOMED.

지능형 수면다원 진단 시스템 개발 (Development of Intelligent Polysomnographic Diagnosis System)

  • 박광석;한주만;박해정;정도언
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 춘계학술대회
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    • pp.199-202
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    • 1997
  • We are developing computer integrated polysomnography system. This system integrates conventional polysomnography with computer for data management, automatic analysis, scoring, and data transmission. In the first stage, we have developed the signal interface and user interface for the manual scoring and data management. For the automatic scoring of sleep stage, we have developed the protocol and have applied the analytic method in its primitive form. In the second stage we will develope a partially automatic scoring system, and finalize the fully automatic system in the final third stage.

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IEC61850 기반 디지털 변전시스팀에서의 PDMS 적용 방안에 관한 연구 (A study for PDMS Application Scheme of Digital S/S with IEC61850 Base)

  • 이동철;김희수;배을록;민병운
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 춘계학술대회 논문집 전기설비전문위원
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    • pp.78-82
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    • 2006
  • The Partial Discharge Monitoring System is technology which is available to measure & analysis the partial discharge of Power equipment. This technology is in the limelight as a pre-forecast system of equipment defect but there are some problems like no protocol standard, layered network management and the limitation of physical size. This paper presents whole system structure includes engineering centers, LN(Logical Node) to apply PDMS for, base-digital substation system, ICE61850 compatible Condition Monitoring &Diagnosis (CMD), Local Unit(LU), Intelligent Electronic Device (IED) for the solution scheme of these limitations.

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Occupational asthma and related respiratory diseases

  • Mahajan, Shailaja G;Mehta, Anita A
    • Advances in Traditional Medicine
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    • 제6권4호
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    • pp.264-273
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    • 2006
  • Epidemiological evidences and clinical as well as experimental observations have suggested a link between asthma and occupations. This relationship also involves other aspects like nonimmunologic exposures in the environment that can increase the chance of developing work related asthma and respiratory diseases. The purpose of this pamphlet is to supply information of work related diseases, which will give patients suffering with asthma, an intelligent understanding of their disease, and thus stimulate their interest so that they will cooperate more readily with their allergist. Recognizing the symptoms, causes, risk factors, diagnosis and treatment is an important part of managing occupational asthma and related diseases, so that it helps in decline of this rapidly increasing prevalence throughout the world.

Spatially filtered multi-field responses of piezothermoelastic cylindrical shell composites

  • Tzou, H.S.;Bao, Y.
    • Structural Engineering and Mechanics
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    • 제4권2호
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    • pp.111-124
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    • 1996
  • New active "intelligent" structural systems with integrated self-sensing, diagnosis, and control capabilities can lead to a new design dimension for the next generation high-performance structures and mechanical systems. However, temperature effects to the piezoelectric transducers are not fully understood. This paper is concerned with a mathematical modeling and analysis of a laminated piezothermoelastic cylindrical shell composite exposed to mechanical, electric, and thermal fields. Generic shell equations and solution procedures are derived. Contributions of spatial and time components in the mechanical, electric, and temperature excitations are discussed, and their analytical solutions derived. A laminated cylindrical shell composite with fully distributed piezoelectric layers is used in a case study; its multi-field step and impulse responses are investigated. Analyses suggest that the fully distributed actuators are insensitive to even modes due to load averaging and cancellation. Accordingly, these even modes are filtered from the total response and only the modes that are combinations of m = 1, 3, 5, ${\cdots}$ and n = 1, 3, 5, ${\cdots}$ participating in dynamic response of the shell.

지능진단기법에 의한 원심펌프의 고장진단에 관한 연구 (A Study on the Diagnosis of the Centrifugal Pump by the Intelligent Diagnostic Method)

  • 신준;이태연
    • 한국공작기계학회논문집
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    • 제12권4호
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    • pp.29-35
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    • 2003
  • The rotating machineries always generate harmonic frequencies of their own rotating speed, and increment of vibration amplitude affects to the equipments which connected to the vibrational source and causes industrial calamities. The life cycle of equipments can be extended and damages to the human beings could be prevented by identifying the cause of malfunctions through prediction of the increment of vibration and records of vibrational history. In this study, therefore, diagnostic expert algorithm for the centrifugal pump is developed by integrating fuzzy inference method and signal processing techniques. And the validity of the developed diagnostic system is examined via various computer simulations.

RIMS "지능형 BOM" 구축과 활용에 관한 연구 (Research on construction and application of RIMS with "intelligent BOM")

  • 박수중;이도선;최광석;손영진;김명규
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 춘계학술대회 논문집
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    • pp.1499-1504
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    • 2007
  • This dissertation explains the construction of the expert system which can manage diagnosis and administration of trouble using circuit diagram through connection between BOM and ability term and makes up for problem which have designed RIMS with name of parts. Also this dissertation explains that existing BOM has no regard organic relation of parts and functional and systematic appearance of the flow of electricity or air. Construction of expert system and "Be enlivened BOM" with flowing electricity and air can solve problems about overlapping parts carrying out other functions with the same name of parts following to simple and physical BOM management and having mistaken trouble of the end caused by basis for trouble of the end.

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퍼지 분류기를 이용한 지능형 차단 시스템 개발 (Development of Intelligent Diagnosis System using Fuzzy Classifier)

  • 성화창;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1785-1786
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    • 2008
  • 본 논문에서는 저압 배선 진단 시스템 구축을 위한 퍼지-베이시안 분류기 기반 지능형 차단 시스템 개발을 목표로 한다. Time-Frequency Domain Reflectometry (TFDR)방법이 바탕이 되어 도선의 이상 상태를 측정하게 되며, 진단 부분에서 받은 정보를 능동적으로 해석하고 이상 유무에 따른 차단의 역할을 수행하는 시스템 개발이 최종 목표이다. 제안하고자 하는 분류 알고리즘은 퍼지-베이시안 분류 알고리즘을 중심으로 구성되며, 분류하고자 하는 도선의 이상상태인 damage, open 그리고 short에 대한 분류 기준을 마련하고자 한다. 또한, 실제 저압 배선에서 얻어진 데이터를 바탕으로 퍼지 분류 규칙의 생성 및 분류 알고리즘 생성을 구체화하여 좀 더 나은 성능의 분류기를 개발하고자 하는 것이 본 논문의 목표이다.

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음향방출과 동력 신호에 의한 인공지능형 연삭상태 진단 (Intelligent Diagnosis of Grinding State Using AE and Power Signals)

  • 곽재섭;하만경
    • 동력기계공학회지
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    • 제6권2호
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    • pp.60-67
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    • 2002
  • 연삭가공은 나노스케일(Nano-scale)의 미소한 입자 절삭날을 이용한 가공으로, 공작물의 표면을 경면(Mirror surface)으로 가공할 수 있어 제품의 최종 마무리공정으로 사용되어 왔다. 그러나 연삭공정에 있어서는 공구(연삭숫돌)의 수명이 다하거나 가공계(Machining system)가 불안정해지면 채터진동과 연삭버닝 등의 현상이 발생하여 가공물의 표면품위를 저하시키는 요인으로 작용하고 있다. 따라서 본 연구는 원통플른지 연삭공정을 대상으로 공작물에서 발생하는 음향방출 신호와 연삭기 주축 모터의 동력 신호를 연삭가공 중에 검출하고, 이를 신경회로망에 적용하여 연삭가공 상태를 진단하는 시스템을 구축하고, 그 성능을 평가하였다.

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