• Title, Summary, Keyword: Malfunction

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Analysis for Fault and Malfunction of the Elevator for the Passenger (승객용 승강기 고장 및 오동작 사례 분석)

  • Kim, Gi-Hyun;Bang, Sen-Bae;Kim, Chong-Min;Hwang, Kwang-Su
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • pp.327-331
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    • 2005
  • This paper gives the information for fault and malfunction of the Elevator for the passenger. For analyzing the fault and malfunction of the elevator equipment we research the report of fault and malfunction which is written by ATP electric director and Elevator maintenance company during recently one year. We analyze the number of fault and malfunction according to classified by month, season, time and classify the kind of fault and malfunction such as stop, fault of door, malfunction of floor indication and so on. And now we research fault and malfunction for the power quality such as Sag, Swell, Interruption, Harmonic, electric voltage rise and so on at elevator equipments and are testing Elevator imitation equipment.

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A Study on the Fault Diagnosis System for Combustion System of Diesel Engines Using Knowledge Based Fuzzy Inference (지식기반 퍼지 추론을 이용한 디젤기관 연소계통의 고장진단 시스템에 관한 연구)

  • 유영호;천행춘
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.1
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    • pp.42-48
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    • 2003
  • In general many engineers can diagnose the fault condition using the abnormal ones among data monitored from a diesel engine, but they don't need the system modelling or identification for the work. They check the abnormal data and the relationship and then catch the fault condition of the engine. This paper proposes the construction of a fault diagnosis engine through malfunction data gained from the data fault detection system of neural networks for diesel generator engine, and the rule inference method to induce the rule for fuzzy inference from the malfunction data of diesel engine like a site engineer with a fuzzy system. The proposed fault diagnosis system is constructed in the sense of the Malfunction Diagnosis Engine(MDE) and Hierarchy of Malfunction Hypotheses(HMH). The system is concerned with the rule reduction method of knowledge base for related data among the various interactive data.

A Hybrid Malfunction Diagnostic System using Rules and Cases (규칙 및 사례기반의 하이브리드 고장진단 시스템)

  • 이재식;김영길
    • Journal of Intelligence and Information Systems
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    • v.4 no.1
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    • pp.115-131
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    • 1998
  • Customer service process is one of the most important processes in today's competitive business environment. Among the various activities of customer service process, equipment malfunction diagnosis activity should be performed fast and accurately. When a customer calls the service center and reports the observed symptoms, he/she describes them in layman's terms. Therefore, the customer-reported symptoms have not been considered helpful information for service representatives. However, in order to perform diagnosis activity fast and accurately, we need to make use of the customer-reported symptoms actively. In this research, we developed three systems called R-EMD (Rule-based Equipment Malfunction Diagnostic system), C-EMD (Case-based Equipment Malfunction Diagnostic system) and R&C-EMD (Rule & Case-based Equipment Malfunction Diagnostic system), each of which diagnoses equipment malfunctions using the customer-reported symptoms. R&C-EMD is a hybrid system that utilizes both rule-based and case-based technologies. The diagnosis rules used in R&C-EMD and R-EMD were not acquired from service manuals or interviews with service representatives. Rater, we extracted them directly from the past diagnosis cases based on symptoms' frequencies. By this way, we were able to overcome the knowledge acquisition bottleneck. Using the real 100 malfunction diagnosis cases, we evaluated the performances of R&C-EMC, R-EMD and C-EMD in terms of speed and accuracy. In diagnosis time, R&C-EMD took longer than R-EMD and shorter than C-EMD. However, R&C-EMC was the best in accuracy.

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An Empirical Study on Malfunction of the Earth Leakage Circuit Breaker (전기적 노이즈에 의한 누전차단기의 오동작에 관한 실험적 연구)

  • Kim, Tae-Man;Kwon, Yong-Jun;Kee, Do-Hyung
    • Journal of the Korean Society of Safety
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    • v.17 no.1
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    • pp.45-53
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    • 2002
  • The purpose of this study was to investigate effect of electrical noise on malfunction of the earth leakage circuit breaker. A three-way experiment for studying its malfunction was conducted, in which electrical products such as radio, alternating current are welder and cellular phone, distance from the earth leakage breaker to electrical products, and whether or not the earth leakage breaker is contained is contained in the steel box were employed as experimental variables. Eleven earth leakage breakers frequently used in real situations were tested in each experimental treatment. The electrical products were used for generating electrical noise that is known to be able to cause malfunction of the earth leakage breaker. The results showed that except a case for one of the 11 earth leakage breakers when the radio made by M company was located 30 cm ahead of the breaker, malfunction did not occur in any other experimental treatment. Consequently, it is suggested that the breaker should be normally used for preventing electricity-related accidents without fear of its malfunction in industrial sites.

Realization of the Image Recognition Algorithm for Automatic Decision of EUT Malfunction (EUT 오동작 판정 자동화를 위한 영상인식 알고리즘의 구현)

  • Yun, Kee-Bang;Lee, Chang-Bok;Ryu, Jae-Chun;Kim, Ki-Doo
    • Journal of the Korean Institute of Telematics and Electronics T
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    • v.36T no.4
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    • pp.9-16
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    • 1999
  • We suggest the image recognition algorithm for automatic decision of EUT malfunction using computer vision in the radiant electromagnetic field. We monitor and analyze the EUT malfunction through the numerical value change of electro-measurement and medical instruments, or the image distortion of PC monitor. We could decide EUT malfunction by comparing the object image in the electromagnetic field with the reference image or by recognizing the numerical value change on the video camera monitor. We can show the evidence of EUT malfunction decision and reduce the possibility of malfunction in the tolerance test.

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Malfunction Measures and Susceptibility test of Elevator Based on EMS(Electromagnetic Susceptibility) Standard (EMS 규정에 따른 승강기 내성시험 및 오동작 대책에 관한 연구)

  • Kim, Gi-Hyun;Bae, Suk-Myong;Lee, Joo-Hwan
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.2
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    • pp.78-85
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    • 2007
  • The malfunction accidents such as kept within elevator, sudden rise, sudden stop, error of level indication which can bring about uneasiness of elevator passenger and be related with life accident are occurring. However, as there is not field recurrence for this portion and they are accidents that occur and then disappear, it is actually difficult to confirm the reason of accident. Therefore, we made an experiment for tolerance in three models which is being built recently according to EN12016(2004) standard and analyzed the movement characteristics of elevator to study the reason which can bring about confine and malfunction. Furthermore after supplementing measures for malfunction, Finally this paper will be used as reference to suggest methods for malfunction of elevator facility and the analysis for mutual relation between Power Quality and malfunction and fault of elevator.

A Study on Wafer to Wafer Malfunction Detection using End Point Detection(EPD) Signal (EPD 신호궤적을 이용한 개별 웨이퍼간 이상검출에 관한 연구)

  • 이석주;차상엽;최순혁;고택범;우광방
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.4
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    • pp.506-516
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    • 1998
  • In this paper, an algorithm is proposed to detect the malfunction of plasma-etching characteristics using EPD signal trajectories. EPD signal trajectories offer many information on plasma-etching process state, so they must be considered as the most important data sets to predict the wafer states in plasma-etching process. A recent work has shown that EPD signal trajectories were successfully incorporated into process modeling through critical parameter extraction, but this method consumes much effort and time. So Principal component analysis(PCA) can be applied. PCA is the linear transformation algorithm which converts correlated high-dimensional data sets to uncorrelated low-dimensional data sets. Based on this reason neural network model can improve its performance and convergence speed when it uses the features which are extracted from raw EPD signals by PCA. Wafer-state variables, Critical Dimension(CD) and uniformity can be estimated by simulation using neural network model into which EPD signals are incorporated. After CD and uniformity values are predicted, proposed algorithm determines whether malfunction values are produced or not. If malfunction values arise, the etching process is stopped immediately. As a result, through simulation, we can keep the abnormal state of etching process from propagating into the next run. All the procedures of this algorithm can be performed on-line, i.e. wafer to wafer.

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A study on the malfunction of ignition system (자동차 정비의 자동화를 위한 점화장치 이상에 대한 연구)

  • 강신준;우천희;신현익;우광방
    • 제어로봇시스템학회:학술대회논문집
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    • pp.800-803
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    • 1996
  • Because of using electrical technologies in the automobile system. It is difficult to detect and recover malfunction of the automobile system. Only the skillful repair engineers could find and repair their problems in these days, but their inconsistent knowhow make it hard to accumulate their knowledge. This paper presents the relations between the engine ignition line and the malfunction of the automobile.

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Failure Management Plan of the Rubber-Tired AGT Light Rail Vehicle (고무차륜 AGT 경량전철 차량의 고장관리 계획)

  • Kim Y.S.;Park S.H.;Lee A.H.;Han S.Y.
    • Proceedings of the KSR Conference
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    • pp.139-144
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    • 2003
  • This study was aimed to establish failure management plan of the rubber-tired AGT light rail vehicle for its safety case, which was developed according to the Korean standardized specifications for the light rail vehicle. Vehicular 9 failure modes anticipated during the system operation were considered, which are single malfunction of redundant equipment, malfunction of train radio, public address and air compressor, battery, main circuit NFB trip, on-board ATO control device malfunction, on-board ATP control device malfunction, fail of brake release, flat tire, train emergency door open.

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A study on the fault and diagnosis system for diesel engine using neural network and knowledge based fuzzy inference (뉴럴 네트웍과 지식 기반 퍼지 추론을 이용한 디젤기관 고장진단 시스템에 관한 연구)

  • 천행춘;김영일;김경엽;안순영;오현경;유영호
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • pp.233-238
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    • 2002
  • This paper propose the construction of fault diagnosis engine for diesel generator engine and rule inference method to induce rule for fuzzy inference from the monitored data of diesel engine. The proposed fault diagnosis system is constructed the Malfunction Diagnosis Engine(MDE) and Hierarchy of Malfunction Hypotheses(HME), It is Proposed the rule reduction method of knowledge base for concerning data among the various analog data.

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