• Title/Summary/Keyword: Dynamic diagnosis

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A Real-Time Automatic Diagnosis System for Semiconductor Process (반도체 공정 실시간 자동 진단 시스템)

  • 권오범;한혜정;김계영
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.241-243
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    • 2003
  • 일반적으로 사용되는 반도체 공정에 대한 진단 기법은 한 공정을 진행하기 전에 테스트 공정을 수행하여 공정의 진행 여부를 결정하고, 한 공정의 진행을 완료한 후에 다시 테스트 공정을 수행하여 공정의 결과를 진단하는 방법이다. 본 논문에서 제안하는 실시간 자동 진단 시스템은 기존 방법의 문제점인 자원의 낭비를 막고, 실시간으로 진단함으로써 시간의 낭비를 막는 진단 시스템을 제안한다. 실시간 자동 진단 시스템은 크게 시스템 초기화 단계, 학습 단계 그리고 예측 단계로 나누어진다. 초기화 단계는 진단할 공정에 대한 사전 입력값을 받아 시스템을 초기화하는 과정으로 공정장비 파라미터별 중요도 자동 설정 과정과 초기화 클러스터링으로 이루어진다. 학습 단계는 실시간으로 저장된 공정장치별 데이터와 계측기로부터 획득된 데이터를 이용하여 최적의 유사 클래스를 결정하는 단계와 결정된 유사 클래스를 이용하여 가중치를 학습하는 단계로 나누어진다. 예측 단계는 공정 진행 중 획득된 실시간 데이터를 학습 단계에서 결정된 파라미터별 가중치를 사용하여 공정에 대한 진단을 한다. 본 시스템에서 사용하는 클러스터링 알고리즘은 DTW(Dynamic Time Warping)를 이용하여 파라미터 데이터에 대한 특징을 추출하고 LBG(Linde, Buzo and Gray) 알고리즘을 사용하여 데이터를 군집화 한다.

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Development of an EEG and EP Mapping System based on the Graphical User Interface and Machine Automation (Graphical User Interface 및 자동화에 기초를 둔 뇌파 및 뇌 유발 전위 진단 시스템)

  • Kim, I.Y.;Lee, T.Y.;Ahn, C.B.
    • Proceedings of the KOSOMBE Conference
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    • v.1994 no.12
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    • pp.81-84
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    • 1994
  • A clinically oriented EEG and EP mapping system was developed with user-friendly interface and easy interactive operations. The system was based on the graphical user interface developed with C/C++ and Software Development Kit (SDK) operated under Microsoft Windows 3.1. Continuous acquisition for the EEG signal and burst mode acquisition for EEG signal syncronized to the external stimuli arc implemented with real time display. A neural network based automatic artifact discrimation is developed and implemented with which examination time can be reduced by a factor of 3 or more. Several bands of spectral maps and spectrums arc displayed for EEG diagnosis. Amplitude maps of EP signal at specified times by operator are displayed together with cine mode of EP maps for dynamic study. Source localization and other statistical signal processing are also included.

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Usefulness of USG in Rotator Cuff Disease (회전근 개 질환에 대한 초음파의 유용성)

  • Choi, Chang-Hyuk;Chang, Il-Woong
    • The Journal of Korean Orthopaedic Ultrasound Society
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    • v.2 no.2
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    • pp.107-112
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    • 2009
  • Ultrasonographic examination for the rotator cuff disease is dynamic noninvasive study and the results is comparable to MRI on the behalf of recent development. It also can be used as a tool for guided injection and follow up study after rotator cuff repair. The development of equipment, learning curve and knowledge for the disease are the three most important factors for the critical role of the ultrasonography in the diagnosis and treatment of the rotator cuff disease.

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Generation of fault diagnosis knowledge base using dynamic simulation (동적 모사를 이용한 이상 진단 지식 모델 합성)

  • 윤여홍;윤인섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.570-575
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    • 1993
  • 화학 공정에서의 이상 진단 시스템 개발 및 응용에 대한 연구는 지난 5년간 많은 발전이 이루어졌다. 화학 공정의 본질적인 특성으로 대형 시스템, 비선형 특성, 모델링 자체의 어려움, 공정 변수의 large dead time 및 복잡한 인과 관계등을 들수 있으며, 이러한 어려움에도 불구하고 적절한 이상 진단 시스템의 중요성을 인식하여, 초기에는 주로 rule-based approach가 도입되어 현장에서의 조업에 많은 도움을 주었었다. 그러나 개발 기간의 단축화, 개발 과정의 표준화 뿐 아니라 개발된 시스템 자체의 일관성 등을 위하여 체계적인 접근 방법이 필요하게 되었으며, 그중 지식 베이스 합성 문제는 그 동안 활발하게 연구되어 오고 있는 분야이다. 이에 본 연구에서는 기호화된 정성적인 정보를 얻기위한 기존의 실험 방법의 한계를 극복하고자 동적 모사를 이용하여 정량적인 정보로부터 정성적인 정보를 생성시키는 방법론에 대해 연구하였다. CSTR(Continuous Stirred Tank Reactor)에서 나타날수 있는 이상의 종류에 대한 동적 모사를 수행하여 이상 진단 시스템을 위한 지식이 생성되는 과정을 보였다.

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Spatially filtered multi-field responses of piezothermoelastic cylindrical shell composites

  • Tzou, H.S.;Bao, Y.
    • Structural Engineering and Mechanics
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    • v.4 no.2
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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.

Design of Fault Diagnosis Expert System Using Improved Fuzzy Cognitive Maps and Rough Set Based Rule Minimization

  • 이종필;변증남
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.315-320
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    • 1997
  • Rule minimization technique adapted from rough set theory was applied to remove redundant knowledge which is not necessary to make a knowledge base. New algorithm to diagnose fault using Improved Fuzzy Cognitive Maps(I-FCMs), and Fuzzy Associative Memory(FAM) is proposed. I-FCM[22] is superior to gathering knowledge from many experts and descries dynamic behaviors of systems very well. I-FCM is not only a knowledge base, but also a inference engine. FAM has learning capability like neural network[12]. Rule minimization and composition of I-FCM and FAM make it possible to construct compact knowledge base and breaks the border between inference engine and knowledge base.

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Case History for Reduction of Shaft Vibration in a Steam Turbine

  • Kim, In Chul;Kim, Seung Bong;Jung, Jae Won;Kim, Seung Min
    • 유체기계공업학회:학술대회논문집
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    • 2001.11a
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    • pp.315-321
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    • 2001
  • The shaft system of turbine is composed of rotating shaft, blades, bearings which support the shaft, packing seal which prevent the leakage of steam, and couplings which connect the shaft. Shaft system component failure, incorrect assemblage or deflection by unexpected forces causes vibration problem. And every turbine has its own characteristics in dynamic response. In this paper we propose the three-bearing supported type rotor which is real equipment and being operated this time as commercial operation. From 1996 it has a high vibration problem and there are many kinds of trial to solve this problem. In resent outage we performed a special diagnosis and carried out appropriate work. We would like to introduce and explain about this case history.

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Estimation of the Sensing Ability of HH Smart Sensor According to Acceleration Value Changing (가속도 값 변화에 따른 HH 스마트센서의 센싱능력 평가)

  • Hwang, Seong-Youn;Hong, Dong-Pyo;Park, Jun-Hong
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.527-532
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    • 2001
  • In this paper, we will propose the new method that estimates the sensing ability of HH smart sensor. We have developed a new signal processing method that can distinguish among different materials relatively. The HH smart sensor was developed for recognition of materials. We made the HH smart sensor in our experiment. Then, we estimated the ability to recognize objects according to acceleration value. We estimated the sensing ability of HH smart sensor with the $R_{SAI}$ method. Experiments and analysis were executed to estimate the ability to recognize objects according to acceleration value changing. Dynamic characteristics of HH smart sensor were evaluated relatively through a new $R_{SAI}$ method that uses the power spectrum density. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.

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Analysis of the Ability of Recognize Objects for Smart Sensor According to Frequency Changing (주파수 변화에 따른 지적센서의 대상물 인식능력 분석)

  • 황성연;홍동표;강희용;박준홍
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.23-26
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    • 2000
  • This paper descrtbcs our prlmary study for a new mncthod of recogninng materials. which is need for precision work system. This IS a study of dynarnlc characteristics of sensor. new melhod ($R_{SAI}$) has thc sensing ability of distinguishing materials. Experiment and annlysis are executed for proper dynamic scnslng condition. First. we developed advanced smart sensor Second, we develop new methods that have a sensing ability of distinguish matarialsAccording to frequency changing. mtluence of smart sensor are evaluated through new recognition Index ($R_{SAI}$) that ratioof sensing ability index. Disungush of object is cxucuted wllh RsA, method relalivcly according to liequency changing. Wecan use the RsAl for finding materids. Applfciltionr of thls method are linding abnormal condition of obicct (automanufacturing).keling ofobject (medlcal product). tobolics, safety diagnosis of structure, etc

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Fault tolerant control for remotely piloted vehicle (원격조종 비행체의 이상허용 제어)

  • Kim, Dae-Woo;Son, Won-Ki;Kwon, Oh-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.6
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    • pp.683-690
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    • 1999
  • This paper deals with a fault-tolerant control method for robust control of RPV(Remotely Piloted Vehicle). To design the flight control system, the 6-DOF simulation program has been developed based on the dynamic model of RPV. A robust fault detection and diagnosis method proposed by Kwon et al. [8]-[10] is adopted to detect the actuator fault of RPV and to make the controller reconfiguration. The Hoo control method is applied to the flight control system. An integrated simulation for performance evaluation of the fault-tolerat\nt control system designed is performed via 6 DOF simulation and shows that the control system works even under the actuator fault.

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