• 제목/요약/키워드: fault diagnosis system

검색결과 834건 처리시간 0.043초

회전기기의 상태감시 및 결함탐지 시스템 (Condition Monitoring and Fault Diagnosis System of Rotating Machinery)

  • 정성학;이영동
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.819-820
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    • 2016
  • 수배전분야는 고압 수배전반, 저압 수배전반, 모터 컨트롤 센터(motor control center; MCC)로 구성되며, MCC는 모터의 운전 및 정지를 할 수 있고, 이상상황 발생 시 비상정지 및 이상 상황에 대한 통보를 할 수 있도록 전자식 모터보호계전기(electronic over current relay; EOCR)가 사용되고 있다. 기존 EOCR은 과전류, 부족전류, 결상, 역상, 전류 불평형, 지락과 같은 전기적 결함 탐지는 가능하지만, 구속보호, 모터 고정자 및 회전자, 베어링 결함과 같은 기계적 결함은 탐지가 어렵다. 본 논문에서는 모터의 전기적, 기계적 결함을 탐지하기 위해 기존 EOCR의 전기적 결함 탐지에 기계적 결함 탐지를 결합하여 회전기기 보호장치를 위한 전기적인 결함과 기계적인 결함을 통합적으로 탐지할 수 있는 시스템을 제안한다. 회전기기 결함탐지를 위한 신호입력부 및 제어부, 시스템 인터페이스, 데이터 획득장치를 설계하였으며, 절연저항 측정, 모터 구속 측정 및 제어, MC 카운터 및 베어링 온도 측정 및 제어를 통해 전기적 결함과 기계적 결함 탐지가 가능하였다.

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고장진단 알고리즘 개발 (Development of Algorithm for Fault Diagnosis)

  • 서규석;옥치연;백영식;김정년
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
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    • pp.248-250
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    • 2003
  • Recently, electric power system's situation grows gradually so Fault Diagnosis is being complicated and is felt difficult. And ability that operator who is using electric power system must do correct judgment of power system state, and can cope at fault of power system state is required. Therefore, large size power system is divided into predefined minimum module, and define each module accident type. We use and compare defined accident type, we can know easily accident that happen forward. Therefore, large size power system using module that is defined to each section common accident type search in this paper. Therefore, large size power system using module that is defined to each section, we search for common accident type. And when accident in electric power system happens, I wish to explain about process that can do fault diagnosis in more easy and fast time, because using accident type that it is verified in front.

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SSTDR을 이용한 케이블의 접촉 불량 고장 진단 (Diagnosis of Poor Contact Fault in the Power Cable Using SSTDR)

  • 김택희;전정채
    • 전기학회논문지
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    • 제65권8호
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    • pp.1442-1449
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    • 2016
  • This paper proposes a diagnosis to detecting poor contact fault and fault location. Electrical fire by poor contact fault of power cable occupied a large proportion in the total electrical installations. The proposed method has an object to prevent electrical fault in advance. But detecting poor contact fault is difficult to detect fault type and fault location by using conventional reflectometry due to faults generated intermittently and repeatedly on the time change. Therefore, in this paper poor contact fault and fault conditions were defined. System generating poor contact fault produced for the experimental setup. SSTDR and algorithm of reference signal elimination heighten performance detecting poor contact fault on live power cable. The diagnosis methods of signal process and analysis of reflected signal was proposed for detecting poor contact fault and fault location. The poor contact fault and location had been detected through proposed diagnosis methods. The fault location and error rate of detection were verified detecting accuracy by experiment results.

On Fault Handling in Control Systems

  • Staroswiecki, Marcel
    • International Journal of Control, Automation, and Systems
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    • 제6권3호
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    • pp.296-305
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    • 2008
  • Whereas fault diagnosis has been the subject of intensive research since the 1970s, the design of fault tolerant systems is a recent research field which does not set its foundations in a unified framework and does not use a unified vocabulary. As a contribution to this special issue, this paper proposes an ontology for the problem of Fault Handling, that embeds the problem of Fault Tolerance.

작동음의 분석을 이용한 펌프의 고장진단 (Fault Diagnosis of a Pump Using Analysis of Noise)

  • 박순재;이신영
    • 한국공작기계학회논문집
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    • 제12권6호
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    • pp.22-28
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    • 2003
  • We should maintain the maximum operation capacity for production facilities and find properly out the fault of each equipment rapidly in order to decrease a loss caused by its failure. The acoustic signals of a machine always carry the dynamic information of the machine. These signals are very useful for the feature extraction and fault diagnosis. We performed a fundamental study which develops a system of fault diagnosis for a pump. We obtained noises by a microphone, analysed and compared the signals converted to Sequency range for normal products, artificially deformed products. We tried to search a change of noise signals according to machine malfunctions and analyse the type of deformation or failure. The results showed that acoustic signals as well as vibration signals can be used as a simple method for a detection of machine malfunction or fault diagnosis.

작동음의 분석을 이용한 펌프의 고장진단 (Fault Diagnosis of a Pump Using Analysis of Noise)

  • 박순재;이신영
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 춘계학술대회 논문집
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    • pp.99-104
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    • 2003
  • We should maintain the minimum operation capacity for production facilities and find properly out the fault of each equipment rapidly in order to decrease a loss caused by its failure. The acoustic signals of a machine always carry the dynamic information of the machine. These signals are very useful for the feature extraction and fault diagnosis. We performed a fundamental study which develops a system of fault diagnosis for a pump. We obtained noises by a microphone, analysed and compared the signals converted to frequency range for normal products, artificially deformed products. We tried to search a change of noise signals according to machine malfunctions and analyse the type of deformation or failure. The results showed that acoustic signals as well as vibration signals can be used as a simple method for a detection of machine malfunction or fault diagnosis.

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소음진동 신호를 이용한 펌프의 고장진단 (Fault Diagnosis of a Pump Using Acoustic and Vibration Signals)

  • 박순재;정원식;이신영;정태진
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.883-887
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    • 2002
  • We should maintain the maximum operation capacity for production facilities and find properly out the fault of each equipment rapidly in order to decrease a loss caused by its failure. The acoustic and vibration signals of a machine always carry the dynamic information of the machine. These signals are very useful fur the feature extraction and fault diagnosis. We performed a fundamental study which develops a system of fault diagnosis for a pump. We experimented vibrations by acceleration sensors and noises by microphones, compared and analysed for normal products, artificially deformed products. We tried to search a change of the dynamic signals according to machine malfunctions and analyse the type of deformation or failure. The results showed that acoustic signals as well as vibration signals can be used as a simple method lot a detection of machine malfunction or fault diagnosis.

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거동 반응을 이용한 전동공구 고장진단 (Fault Diagnosis of an Electric Tool using Automaton)

  • 이승목;최연선
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.1328-1333
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    • 2006
  • For fault diagnosis of machines and equipments, knowledge-based method has been used widely but has some limitations for complex systems. These can be covered by model-based method. As one kind of model-based method, Qualitative modeling diagnosis method is developed in this research. The developed method uses output signal only. In this method quantization of the output signal mattes automata which can characterize the flow of the signal pattern to normal and fault respectively. As an example of the qualitative diagnosis method, an electric tool which has faults at gear and bearing were examined in this research. The result shows that the developed method can diagnose the fault clearly for the two fault cases.

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Low-Cost Fault Diagnosis Algorithm for Switch Open-Damage in BLDC Motor Drives

  • Park, Byoung-Gun;Lee, Kui-Jun;Kim, Rae-Young;Hyun, Dong-Seok
    • Journal of Power Electronics
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    • 제10권6호
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    • pp.702-708
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    • 2010
  • In this paper, a fault diagnosis algorithm for brushless DC (BLDC) motor drives is proposed to maintain control performance under switch open-damage. The proposed fault diagnosis algorithm consists of a simple algorithm using measured phase current information and it detects open-circuit faults based on the operating characteristic of BLDC motors. The proposed algorithm quickly recovers control performance due to its short detection time and its reconfiguration of the system topology. It can be embedded into existing BLDC drive software as a subroutine without additional sensors. The feasibility of the proposed fault diagnosis algorithm is proven by simulation and experimental results.