• Title/Summary/Keyword: Deterioration factors

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A study on the fault diagnosis system for Induction motor using current signal analysis (전류신호 분석을 통한 유도전동기 고장진단시스템 연구)

  • Byun, Yeun-Sub;Jang, Dong-Uk;Park, Hyun-June;Wang, Jong-Bae;Lee, Byung-Song
    • Proceedings of the KIEE Conference
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    • 2001.04a
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    • pp.19-21
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    • 2001
  • Induction motors are a critical component of many industrial machines and are frequently integrated in commercial equipment. The many economical losses and the deterioration of system reliability might be caused by the failure of induction motors in industrial field. Based on the reliability and cost competitiveness of driving system(motors), the faults detection and diagnosis of system is considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method is used for induction motor fault diagnosis. This method analyzes the motor's supply current, since this diagnoses the motor's condition. The diagnostic system is constructed by using LabVIEW of National Instruments.

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Fault diagnosis system of induction motor using artificial neural network (인공신경망을 이용한 유도전동기고장진단)

  • Byun, Yeun-Sub;Wang, Jong-Bae;Kim, Jong-Ki
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2222-2224
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    • 2002
  • Induction motors are critical components of many industrial machines and are frequently integrated in commercial equipment. The heavy economical losses and the deterioration of system reliability might be caused by the failure of induction motors in industrial field. Based on the reliability and cost competitiveness of driving system (motors), the faults detection and diagnosis of system is considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method are used for induction motor fault diagnosis. This method analyzes the motors supply current. since this diagnoses faults of the motor. The diagnostic algorithm is based on the artificial neural network, and the diagnosis system is programmed by using LabVIEW and MATLAB.

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A Study on the New Criteria for Assessing the Insulation Deterioration of Generator Stator Winding (발전기 고정자 권선의 새로운 절연열화 판정기준 설정에 관한 연구)

  • Hwang, D.H.;Kim, Y.J.;Kim, J.B.;Jeon, J.W.;Kim, H.G.;Park, J.J.
    • Proceedings of the KIEE Conference
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    • 1997.07e
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    • pp.1692-1695
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    • 1997
  • This paper describes the relationship between the various non-destructive parameters and the breakdown voltage for the 17 kV, 300 MVA and the 22 kV, 500 MVA generators stator bars with polyester and epoxy/mica insulation respectively. Also, this study reports the results of an investigation into the factors which can assess the insulation condition of generator stator winding. Furthermore, a new parameter, Partial Discharge Index(PDI), is introduced as the valuable parameter for the assessment of insulation condition. The ratio between partial discharge increment and the stepwise voltage increment from the Discharge Inception Voltage (DIV) at the characteristic or resonant frequency band shows the close relationship between the breakdown voltage and PDI.

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Improving Overall Equipment Effectiveness(OEE) in Korean Small and Medium Manufacturing Industries (중소제조업체의 설비효율향상 방안에 대한 연구)

  • Baek, Jong-Yeop;Gang, Yun-Jin;Gang, Gyeong-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.219-230
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    • 2010
  • Remarkably improvements have occurred recently in the maintenance management of physical assets and productive systems, so that less wastages of energy and resources occur. The technology of maintenance is about finding and applying cost-effective ways of avoiding or overcoming performance deterioration. Maintenance is thus a vital support function in business, especially as increasingly large investments are being required in physical assets. TPM(Total Productive Maintenance) focuses on optimizing planning scheduling. Availability, performance and quality rate are other factors that affect productivity. Especially there are some losses that affect the overall equipment effectiveness(OEE). These losses lead to low values of OEE, which provides an indication of how effective the production precess is. This study explores the ways in which Korean small and medium manufacturing industries can improve OEE.

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Fouling Reduction Characteristics of a Fluidized Bed Heat Exchanger for Flue Gas Heat Recovery (연도가스 열회수용 순환유동층 열교환기의 오염저감특성)

  • 이금배;전용두
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.8
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    • pp.770-777
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    • 2004
  • Fouling and cleaning tests are performed for a uniquely designed 7,000 ㎉/hr fluidized bed heat exchanger for exhaust gas heat recovery. Fuel rich condition is maintained in the combustor for a limited time period to generate soot that is to be deposited on the heat transfer surfaces (fouling) and 600 Um glass beads are circulated inside the heat exchanger system for cleaning and enhancing the heat transfer performance. According to the present experimental study, performance degradation mode could be monitored and the effect of particle circulation on the heat transfer improvement could be identified. Through the present study, it is demonstrated that circulating particles contribute not only to the fouling reduction in gas side, but also to the heat transfer enhancement of the unit, while other possible aging factors including water side corrosion seemed to contribute to the accumulated performance deterioration.

A study on the train passage control at railroad bridge under heavy rainfall (철도교량 홍수시 열차운전규제기준에 대한 연구)

  • Park, Young-Kon;Lee, Jin-Wook;Yoon, Hee-Taek;Mok, Jai-Kyun;Kim, Seon-Jong
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.1001-1006
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    • 2004
  • Railroad disasters are frequently occurred by man-made causes or natural causes. In general, man-made causes are illegal construction practices, deterioration with the lapse of time and railroad crossing accidents, and natural causes are rainfall. snow, wind, earthquake, etc. Of cause, railroad disasters by man-made causes are prevented from keeping the safety principle, constructing multi-level crossing, securing enough men of ability and financial resources and making a thorough check using equipments with high capacity. And railroad disasters by natural causes are also minimized by construction of disaster prevention facilities, introduction and operation of general disaster prevention system and reasonable train passage control. Therefore, to setup the criterion of train passage control for train safety at railroad bridge under heavy rainfall, risky factors, national and oversea criteria under such circumstances are reviewed and a scheme to setup the criterion is suggested.

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A Study on the Application of Cathodic Protection for the Repair of Marine Concrete Structure (해양콘크리트 구조물의 보수를 위한 전기방식의 응용에 대한 고찰)

  • 문한영;김성수;김홍삼
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.04a
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    • pp.229-234
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    • 1997
  • Recently many concrete structures have been deteriorated due to the corrosion of reinforcing steel caused by chloride attack. The chloride attack causes very rapid and serious deterioration. Therefore, It is necessary for highly reliable method to stop the corrosion. Especially, on damaged concrete, it is difficult to stop the progress of steel corrosion that has already occured in concrete. The indirect method of corrosion protection such as eliminating corrosion factors by coating would be hard to be expected for complete stop of corrosion. In this paper, we applied the cathodic protection to chloride attacked marine concrete structures and verified the effect in addition to application of cathodic protection.

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An Optimal Production Run Length in A Deteriorating Machine (퇴화하는 기계에서의 품질 불량을 고려한 최적 생산시간 결정)

  • Kim, Chang-Hyun;Hong, Yu-Shin
    • Journal of Korean Institute of Industrial Engineers
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    • v.22 no.3
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    • pp.351-364
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    • 1996
  • This paper presents on EMQ model which determines an optimal production run length in a deteriorating machine. It is assumed that a machine is subject to a random deterioration from an in-control state to an out-of-control state with on arbitrary distribution and thus producing some proportion of defective items. An optimal production run length and a minimum average cost are derived in each of three deteriorating processes; constant, linearly increasing, and exponentially increasing. The model with repair cost is also analyzed. Several mistakes in previous research are found and discussed. Numerical experiments are carried out to see the behavior of the proposed model depending on the cost factors as well as machine parameters, and some interesting behaviors are observed.

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A Study on Gate Trigger Current of SCR (SCR 게이트 전류의 변화특성에 관한 연구)

  • Seong, Houng-Su;Won, Hak-Jai;Han, Seung-Mun;Ha, Jeong-Hoon;Park, Ho-Chul
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1333-1335
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    • 2000
  • In order to turn on the SCR gate, trigger signal source have to provide appropriate gate current and voltage under the gate rating based on the characteristic of SCR, the nature of load and power. It will be essential design factors such as trigger source impedance, trigger signal occurring, signal time width and turn off conditions. Also minimum gate trigger current is changed with the deterioration of SCR. SCR, which is needed large gate trigger current absolutely, is very important for SCR characteristic test because it causes unstable output in the misfile or makes a trouble to pulse trigger circuits. This paper shows scheme to test the performance of SCR with the precision analyzing mechanism and the changing trend of minimum gate current under the trigger conditions.

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Fault diagnosis of induction motor using principal component analysis (주성분 분석기법을 통한 유도전동기 고장진단)

  • Byun Yeun-Sub;Lee Byung-Song;Bae Chang-Han;Wang Jong-Bae
    • Proceedings of the KSR Conference
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    • 2003.10c
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    • pp.529-534
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    • 2003
  • Within industry induction motors have a broad application area to drive pumps, fans, elevators and electric trains. Sudden failures of such machines can cause the heavy economical losses and the deterioration of system reliability. Based on the reliability and cost competitiveness of driving system (motors), the faults detection and the diagnosis of system are considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method are used for induction motor fault diagnosis. This method analyzes the motor's supply current, since this diagnoses faults of the motor. The diagnostic algorithm is based on the principal component analysis(PCA), and the diagnosis system is programmed by using LabVIEW and MATLAB.

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