• 제목/요약/키워드: Diagnosis system

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HFPD 검출법을 이용한 지중 케이블 실선로 진단 (Diagnosis of power cable system based on the HFPD detection at on-site)

  • 이전선;김충식;이동근;공충호;석광현;이경욱
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 춘계학술대회 논문집 전기설비전문위원
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    • pp.97-100
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    • 2004
  • HFPD(High Frequency Partial Discharge) measurement has been widely performed to diagnosis of cable system in the world although Korea just begin. The efficiency of measurement has been reported and proved by many researchers who are engaged in the diagnosis of high power apparatus. LG Cable has investigated the technology of diagnosis for cable system by means of PD measurement for 10 years. In this paper, PD measurement with portable device was performed to evaluate the quality of the 154kV transmission line and the 22.9kV XLPE cable line. Test results are shown that the HFPD detection technology is very attractive for the diagnosis of power cable system by high detection sensitivity at on-site.

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콘크리트 플랜트의 온-라인 감시 및 고장진단을 위한 시스템 개발에 대한 연구 (A study of system development for on-line monitoring and fault diagnosis of a concrete plant)

  • 공영준;장태규;양원영
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.228-232
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    • 1993
  • This paper describes a on-line monitoring and fault diagnosis system designed for the automation of a medium-size concrete plant. The system is based on the structure of a hardware system of data acquisition and a personal computer. Simulation results are presented to illustrate the system operation. It applies the preconstructed rules to the plant data for the diagnosis of weighing processes.

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An Advanced Fault Diagnosis System

  • Park, Young-Moon;Ahn, Bok-Shin;Lee, Heung-Jae
    • Journal of Electrical Engineering and information Science
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    • 제2권5호
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    • pp.45-50
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    • 1997
  • This paper present an advanced fault diagnosis expert system to assist the operators at local control center. The system utilizes all th information available in a local control center for the better diagnostic performance. The major feature of the system is dealing with multiple faults diagnosis based on the certainty factor method for the reasoning process. the overall performance and the generality are also enhanced by utilizing the general topological knowledge. ASCADA simulator is also developed for he test and demonstration.

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설진 시스템 개발 및 재현성 평가 (The Development of a Tongue Diagnosis System and the Evaluation of Reproducibility)

  • 전영주;김근호;도준형;유현희;김종열
    • 한국한의학연구원논문집
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    • 제14권3호
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    • pp.97-102
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    • 2008
  • The tongue diagnosis is a diagnostic method in the oriental medicine that uses shape, substance, coating, and movement of the tongue to determine the condition of health and disease characteristics in human. Since this information, however, could be affected by subjective sense and visual information, it is difficult to obtain the objective and reproducible results. This research aims at building a reproducible tongue diagnosis system using color chart that is attached close to the face contact region. The picture of color chart is taken simultaneously with a tongue and applied to color revision. The system, in addition, is focused on providing a clear tongue image through securing a sufficient photographing distance with a surface coating mirror. The lightning part which can suppress the reflection by sputum in maximum is implemented for the objectification and quantification of the tongue diagnosis system. The face contact region is designed for consideration of a testee's convenience. To evaluate the reproducibility of the system, the CVs (coefficient of variance, %) of $L{\ast}$, $a{\ast}$ and $b{\ast}$ of red, green and blue regions in color chart are calculated, respectively. The results of all CVs shows that the tongue diagnosis system is re liable and those consequences contribute to the objectification and quantification of the tongue diagnosis system.

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웹 기반 기초학력 진단-보정 시스템의 개선 방안 도출 (A study on Improvement of Web-based Diagnosis-Supplement System for Basic Academic Skills)

  • 전수진;김한성
    • 정보교육학회논문지
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    • 제20권5호
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    • pp.487-498
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    • 2016
  • 교육부는 2013년부터 초등학교와 중학교를 대상으로 웹 기반의 기초학력 진단-보정 시스템을 전국에 서비스하고 있다. 이 논문의 목적은 2015년에 실시된 기초학력 진단-보정 시스템 기반의 향상도 검사 결과와 교사 및 전문가들의 요구사항을 종합적으로 분석하여 시스템의 개선 방안을 도출하는 것이다. 이를 위해 진단-보정 차수별 응시율과 도달율을 분석하고, 교사 자문위원회와 전문가 협의회의 인터뷰 및 협의 내용을 기초로 기초학력 진단-보정 시스템의 개선방안을 도출하였다. 결론적으로 기초학력 진단-보정 시스템의 발전 방안을 교사 이용 활성화 방안과 학생 이용 활성화 관점으로 구체화여 제언하였다.

오버샘플된 전류신호를 사용한 인버터 구동형 전동기의 베어링 고장검출 시스템 (High Precison Bearing Fault Detect System of Inverter Driven System Using Oversampled Current Signals)

  • 김남훈;김민회;최창호;이상훈;최경호
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2007년도 하계학술대회 논문집
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    • pp.506-508
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    • 2007
  • In this paper, the induction motor bearing fault diagnosis system using current signals which are measured by over-sampling method is presented. In the case of inverter fed motor drive unlike line-driven motor drive, that make a lot of noise which can cause a wrong fault signals because of PWM(pulse width modulation) voltage. So, the current signals for fault diagnosis need very precise and high resolution information, which means this system demand additional hardware such as low pass filter, high resolution ADC system and so on to use fault diagnosis system. Therefore, the proposed over-sampling method is expected to contribute to low cost fault diagnosis system even though previous inverter fed motor drive without any additional hardware. In order to confirm the presented algorithms, various experiments for bearing faults are tested and the line current spectrum of each faulty situation using park transformation is compared with a FFT results.

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Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

  • Navin K.;Mukesh Krishnan M. B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권2호
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    • pp.284-310
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    • 2024
  • Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

'Weisbord 모형'을 활용한 농촌 주민조직 진단 연구 : '내고향지킴이' 조직진단 사례를 중심으로 (Study on the Diagnosis of Agricultural Region Resident Organization Utilizing 'Weisbord's model' : Centered on 'My Hometown Keeper' Organization Diagnosis Case)

  • 최효승;조중현
    • 농촌계획
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    • 제20권2호
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    • pp.81-90
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    • 2014
  • This study was carried out to identify the limitations and problems of organization, as well as present plans to activate the organization through diagnosis on 'My Hometown Keeper' organization that was created for the purpose of growth of agricultural and fishing regions, and environment improvement. Utilizing Weisbord's Six-box Model, an organization diagnosis model useful for diagnosis of 'My Hometown Keeper' organization, 6 areas including organization's objective, structure, relationship, compensation system, leadership, subsidiary device system etc. and 14 survey questions were prepared, and a survey investigation was conducted on the staff at Korea Rural Community Corporation in charge of 'My Hometown Keeper' participating residents and administrative support. Based on the analysis results of survey investigation, the limitations and problems of organization were identified, and as plans to improve these and activate 'My Hometown Keeper' organization, 'Clear establishment of organization's objective and role', 'Preparation of compensation and incentive system', 'Growth of relationship and leadership between constituents' 'Enhancing the utilization of subsidiary device system such as education and information acquisition etc.' etc. were presented.

퍼지관계곱 기반 급성복통과 관련된 지능형 질환 진단시스템의 설계 및 구현 (A Design and Implementation of the Intelligent Diagnosis System for Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products)

  • 현우석
    • 정보처리학회논문지B
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    • 제10B권2호
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    • pp.197-204
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    • 2003
  • 현재까지 개발된 의료진단 시스템들은 인체 특정 질환을 염두에 두고 구체적 조건의 조합에 의존하여 진단 범주를 설정하는데 통상적으로 특정 장기에 제한되어 있어서 여러 가지 유형의 질환에 공통적으로 나타나는 중상을 진단하는 경우 조기에 정확한 진단을 내리기가 힘든 문제점을 지니고 있다. 급성복통(acute abdominal pain)은 전구 증상 없이 갑자기 복통이 발생하는 것으로 소화기 질환을 비롯한 여러 질환에서 환자들이 공통적으로 가장 흔하게 호소하는 증상으로 연관된 질환이 다양하여 의사들이 적절한 감별진단을 내리기가 쉽지 않다. 본 연구에서는 급성 복통과 연관된 질환의 감별진단 시스템으로서 기존의 DS-DAAP의 성능을 개선한 퍼지관계곱에 기반한 지능형 질환 진단시스템(IDS-DAAP)을 제안한다. 제안하는 시스템은 기존의 DS-DAAP와 비교해 볼 때 진단의 정확성을 높이면서 수행시간을 감소시켰다.

Rotor Fault Detection System for the Inverter Driven Induction Motor using Current Signals

  • Kim, Nam-Hun;Baik, Won-Sik;Kim, Min-Huei;Choi, Chang-Ho
    • Journal of Power Electronics
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    • 제9권2호
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    • pp.224-231
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    • 2009
  • The induction motor rotor fault diagnosis system using current signals, which are measured using an axis-transformation method, is presented in this paper. In inverter-fed motor drives, unlike line-driven motor drives, the stator currents are rich in harmonics; therefore fault diagnosis using stator current is not trivial. The current signals for rotor fault diagnosis need precise and high resolution information, which means the diagnosis system demands additional hardware such as a low pass filter, high resolution ADC, and encoder, etc. The proposed axis-transformation method with encoder and without encoder is expected to contribute to a low cost fault diagnosis system in inverter-fed motor drives without the need for any additional hardware. In order to confirm the validity of the developed algorithms, various experiments for rotor faults are tested and the line current spectrum of each faulty situation using Park transformation is compared with the results obtained from fast Fourier transforms.