• 제목/요약/키워드: automatic diagnosis system

검색결과 209건 처리시간 0.028초

공중회선망을 이용한 원격 심전도 진단 시스템 (A Study on Remote ECG Diagnostic System Using Telephone Line)

  • 이명호;박상희;김용만;신건수;정희교;정기삼
    • 대한의용생체공학회:의공학회지
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    • 제13권1호
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    • pp.69-78
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    • 1992
  • This Paper describes implementation of a remote ECG diagnostic system using telephone line. The overall system includes ECG data acquisition system, ECG terminal, system control software, automatic diagnosis system, and transmission system.'The proposed system provides various functions, which are ECG data acquisition, transmission, receiving, diagnosis and dialogue between patients and medical doctors. Thls system is very simple and convienient to use. We evaluate the performance of modem and the accuracy of automatic diagnosis algorithm. The obtained results suggest the Possibilities of a remote ECG diagnostic system using the only existed telephone line.

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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.

맥파자동진단을 위한 하드웨어의 설계 및 특성점 검출 알고리즘에 관한 연구 (A Study on the Significant Point Detection Algorithm and Design of Hardware for Pulse Automatic Diagnosis)

  • 이준영;이정환;이명호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 G
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    • pp.2255-2258
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    • 1998
  • Method of diagnosis in oriental medicine, the unbalance of the physiological function of the five viscers and six bowels of the human body is determined from time immemorial with the condition of blood circulation which is performed through blood vessels by the vitality of the heart. In oriental medicine, treatment is largely attempted by adjusting this unbalance. The analysis of pulse wave, which mainly measures the changes in blood flows, is to evaluate the shapes of a pulse wave rather than the quantitative changes like rates and strength of the pulse. This paper presents the development of Hardware System and Pulse Diagnosis Algorithm for automatic diagnosis of the pulse wave. This system makes the precise diagnosis and the objective recording possible.

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전기품질 진단 시스템 개발을 위한 인공 신경망 적용에 관한 연구 (A Study on Power Quality Diagnosis System using Neural NetWorks)

  • 김진수;김영일;김광순;박기주
    • 전기학회논문지
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    • 제56권8호
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    • pp.1351-1359
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    • 2007
  • In this paper, we have studied the power quality(PQ) diagnosis system with the two methods for PQ diagnosis. One to Apply a regulation value in compliance with mathematics calculation, and the other Automatic identification using Neural network algorithm. Neural network algorithm is used for an automatic diagnosis of the PQ. The regulation proposed by IEEE 1159 Working group is applied for the precision of the diagnosis. In order to divide accurate segmentation, the algorithm for a computer training used the back propagation out of several neural network algorithms. We have configured the proto-type sample by using Labview and a programmed Neural Networks Algorithm using with C. And arbitrary electric Signal generated by OMICRON Company's CMC 256-6 for an efficiency test.

인텔리전트 컨포넌트 (Intelligent Conponent) (Intelligent Conponent)

  • 미즈타까준;서길진
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.103-108
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    • 2008
  • Automatic control makes the air-handling unit go into operation and determines the functions of high-efficient and energy-saving machines. Yamatake, an automatic control system manufacturer, have expanded fault detection and diagnosis, and data volumes so as to achieve higher technology in control by developing a sensor which makes field data visible, an actuator and Intelligent Conponent. This study, thus, focuses on applications for saving energy with Intelligent Conponent and goes in for easing global warming by creating future field data-based applications.

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Development of Digital Stethoscope Diagnosis System for Cardiac Disorders

  • Park, Kyi-Hwan;Jiang, Zhongwei
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.107.3-107
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    • 2001
  • This paper is concerned with the development of a simple digital stethoscope system for diagnosis of cardiac disorders. This system consists of an electronic stethoscope, IC sound recorder and a notebook computer. The cardiac sound is easily acquired by the electronic stethoscope and then recorded in IC memory stick so that the digital cardiac signal can be simply transmitted to the computer for signal display, disease diagnosis, and personal history record. A software is built with functions displaying the sound graphically and replaying the sound clearly. Further, a neural network recognition system for automatic diagnosis of cardiac disorders is also added to the software.

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스펙트로그램 이미지를 이용한 CNN 기반 자동화 기계 고장 진단 기법 (CNN-based Automatic Machine Fault Diagnosis Method Using Spectrogram Images)

  • 강경원;이경민
    • 융합신호처리학회논문지
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    • 제21권3호
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    • pp.121-126
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    • 2020
  • 소리 기반 기계 고장 진단은 기계의 음향 방출 신호에서 비정상적인 소리를 자동으로 감지하는 것이다. 수학적 모델을 사용하는 기존의 방법은 기계 시스템의 복잡성과 잡음과 같은 비선형 요인이 존재하기 때문에 기계 고장 진단이 어려웠다. 따라서 기계 고장 진단의 문제를 딥러닝 기반 이미지 분류 문제로 해결하고자 한다. 본 논문에서 스펙트로그램 이미지를 이용한 CNN 기반 자동화 기계 고장 진단 기법을 제안한다. 제안한 방법은 기계의 결함 시 발생하는 주파수상의 특징 벡터를 효과적으로 추출하기 위해 STFT를 사용하였으며, STFT에 의해 검출된 특징 벡터들은 스펙트로그램 이미지로 변환하여 CNN을 이용해 기계의 상태별로 분류한다. 그 결과는 제안한 방법은 효과적으로 결함을 탐지할 뿐만 아니라 소리 기반의 다양한 자동 진단 시스템에도 효과적으로 활용될 수 있다.

GC-MS 크로마토그램의 컴퓨터 자동해석을 이용한 유전성 대사질환의 진단법 개발 (Development of a GC-MS Diagnostic Method with Computer-aided Automatic Interpretation for Metabolic Disorders)

  • 윤례란
    • 대한유전성대사질환학회지
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    • 제6권1호
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    • pp.40-51
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    • 2006
  • Purpose: A personal computer-based system was developed for automated metabolic profiling of organic aciduria and aminoacidopathy by gas chromatography-mass spectrometry and data interpretation for the diagnosis of metabolic disorders Methods: For automatic data profiling and interpretation, we compiled retention time, two target ions and their intensity ratio for 77 organic acids and 13 amino acids metabolites. Metabolites above the cut-off values were flagged as abnormal compounds. The data interpretation was a based on combination of flagged metabolites. Diagnostic or index metabolites were categorized into three groups, "and", "or" and "NO" compiled for each disorder to improve the specificity of the diagnosis. Groups "and" and "or" comprised essential and optional compounds, respectively, to reach a specific diagnosis. Group "NO" comprised metabolites that must be absent to make a definite diagnosis. We tested this system by analyzing patients with confirmed Propionic aciduria and others. Results: In all cases, the diagnostic metabolites were identified and correct diagnosis was founded to be made among the possible disease suggested by the system. Conclusion: The study showed that the developed method could be the method of choices in rapid, sensitive and simultaneous screening for organic aciduria and amino acidopathy with this simplified automated system.

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다중프로세서 방식의 자동조립시스템을 위한 관리제어 (Supervisory Control for Multi-Processor-Based Automatic Assembly System)

  • 이재혁;유범재;오상록
    • 대한전기학회논문지
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    • 제39권8호
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    • pp.888-897
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    • 1990
  • In this paper, a multi-processor-based supervisory control for automatic assembly system is presented. The proposed supervisory control is organized in terms of C-language and with structured and easily expandable characteristics. Also the controller is designed to possess diagnostic capability including self-diagnosis of processor module. The developed supervisory control has been shown to be very useful via a high speed automatic assembly system with vision capability.

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웨이브렛 변환과 자동적인 임계치 설정에 의한 미세 석회화 검출 (Microcalcification Extraction by Wavelet Transform and Automatic Thresholding)

  • 원철호;서용수;조진호
    • 한국멀티미디어학회논문지
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    • 제8권4호
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    • pp.482-491
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    • 2005
  • 본 논문에서는 디지털 X선 유방 촬영 시스템에서 획득된 영상으로부터 웨이브릿 변환과 자동적인 임계치 설정기법을 이용하여 미세 석회화 영역을 추출하였다. 디지털 X선 영상 장비는 임상 진단 분야에서는 필수적인 진단 장비이며, 흉부 촬영, 골절상 및 치아 교정 등의 다양한 분야에 사용되고 있다. 특히 디지털 X선 유방 촬영술은 유방암 진단의 가장 좋은 방법으로 알려져 있으며 최근 국내에서 디지털 X선 기기를 개발하기 위한 많은 연구들이 진행되고 있다. 본 논문에서는 디지털 X선 유방 촬영 영상으로부터 초기 단계의 유방암 진단을 위해 필수적인 미세 석회화를 검출하는 알고리즘을 제안하여 이를 효과적으로 검출하였으며 진단 방사선학적 진단에 도움을 줄 수 있음을 보였다.

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