• Title/Summary/Keyword: cooling failure

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An Experimental Study on Fault Detection and Diagnosis Method for a Water Chiller Using Bayes Classifier (베이즈 분류기를 이용한 수냉식 냉동기의 고장 진단 방법에 관한 실험적 연구)

  • Lee, Heung-Ju;Chang, Young-Soo;Kang, Byung-Ha
    • Proceedings of the SAREK Conference
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    • 2008.06a
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    • pp.36-41
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    • 2008
  • Fault detection and diagnosis(FDD) system is beneficial in equipment management by providing the operator with tools which can help find out a failure of the system. An experimental study has been performed on fault detection and diagnosis method for a water chiller. Bayes classifier, which is one of classical pattern classifiers, is adopted in deciding whether fault occurred or not. FDD algorithm can detect refrigerant leak failure, when 20% amount of charged refrigerant for normal operation leaks from the water chiller. The refrigerant leak failure caused COP reduction by 6.7% compared with normal operation performance. When two kinds of faults, such as a decrease in the mass flow rate of cooling water and temperature sensor fault of cooling water inlet, are detected, COP is a little decreased by these faults.

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The Study on Intelligent Cooling Load Forecast of Ice-storage System (빙축열 시스템의 지능형 냉방부하예측에 관한 연구)

  • Koh, Taek-Beom
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.11
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    • pp.2061-2065
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    • 2008
  • In the conventional operation of ice-storage system based on operator's experience and judgement, the failure in forecast of cooling load occurs frequently due to operator's misjudgement and unskilled operation. This study presents the method of constructing self-organizing fuzzy models which forecast tomorrow temperature, humidity and cooling load periodically for economic and efficient operation of ice-storage system. To check the effectiveness and feasibility of the suggested algorithm, the actual example for forecasting temperature, humidity and cooling load of ice- storage system in KEPCO training institute, Sokcho, is examined. The computer simulation results show that the accuracy of temperature, humidity, cooling load forecast of the suggested algorithm is higher than that of the conventional methods.

Experimental Study on Cooling Load Forecast Using Neural Networks (신경회로망을 이용한 일일 냉방부하 예측에 관한 실험적 연구)

  • Shin, Kwan-Woo;Lee, Youn-Seop;Kim, Yong-Tae;Choi, Byoung-Youn
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.61-64
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    • 2001
  • The electric power load during the peak time in summer is strongly affected by cooling load. which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system etc are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice-storage system is suggested. And also the method of forecasting the cooling load using neural network is suggested. For the simulation, the cooling load is calculated using actual temperature and humidity. The forecast of the temperature, humidity and cooling load are simulated. As a result of the simulation, the forecasted data approached to the actual data.

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Fatigue Life Analysis and Cooling Conditions Evaluation of a Piston for Large LPLi Bus Engines (LPG 액정분사식 대형 버스용 엔진 피스톤의 피로수명 해석과 냉각조건 평가)

  • 최경호;이부윤
    • Journal of Advanced Marine Engineering and Technology
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    • v.28 no.5
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    • pp.762-772
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    • 2004
  • Fatigue life of a Piston for large liquid Petroleum liquid injection(LPLi) bus engines is analyzed considering effects of cooling condition parameters : temperature of cooling water, and heat transfer coefficients at oil gallery and bottom surface of piston head. Temperature of the piston is analyzed with varying cooling conditions Stresses of the piston from two load cases of pressure loading. and pressure and thermal loading are analyzed Fatigue life under repeated peak pressure and thermal cycle is analyzed by the strain-life theory. For the two load cases, required loading cycles for engine life are defined, and loading cycles to failure and partial damages are calculated. Based on the resulting accumulated fatigue usage factors, endurance of the piston is evaluated and effects of varying cooling condition Parameters are discussed.

The Investigation of the Plasma Sprayed Coatings for the Application of OG Cooling Tube in Steel Making Plant

  • Kim, HyungJun;Kwon, YoungGak
    • Corrosion Science and Technology
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    • v.4 no.1
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    • pp.23-28
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    • 2005
  • Several plasma-sprayed ceramic coatings with two- and three-layers were characterized and tested for the application of cooling tube coatings of oxygen convert gas recovery system (OG cooling system) in the steel making plant. Thermal cycling tests using a torch heating with compressed air cooling were carried out and characterized before and after the tests. The effects of metallic bond coat as well as ceramic top coat were also studied. Possible failure mechanisms with low carbon steel substrate were assessed in term of microstructure, porosity, bond strength, thermal expansion coefficient, and the phase transformation. Finally, the results of field tests at the OG cooling system are presented and discussed their microstructural degradation. Test results have shown that three-layered coatings perform better than two-layered coatings.

The Study on Cooling Load Forecast using Neural Networks (신경회로망을 이용한 냉방부하예측에 관한 연구)

  • 신관우;이윤섭
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.14 no.8
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    • pp.626-633
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    • 2002
  • The electric power load during the peak time in summer is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system etc. are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice storage system is suggested. And also the method of forecasting the cooling load using neural network is suggested. For the simulation, the cooling load is calculated using actual temperature and humidity, The forecast of the temperature, humidity and cooling load are simulated. As a result of the simulation, the forecasted data is approached to the actual data.

The Study on Cooling Load Forecast of an Unit Building using Neural Networks

  • Shin, Kwan-Woo;Lee, Youn-Seop
    • International Journal of Air-Conditioning and Refrigeration
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    • v.11 no.4
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    • pp.170-177
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    • 2003
  • The electric power load during the summer peak time is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice storage system and heat pump system etc. are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice storage system is suggested. The method of forecasting the cooling load using neural network is also suggested. The daily cooling load is mainly dependent on actual temperature and humidity of the day. The simulation is started with forecasting the temperature and humidity of the following day from the past data. The cooling load is then simulated by using the forecasted temperature and humidity data obtained from the simulation. It was observed that the forecasted data were closely approached to the actual data.

A Study on the Reliability of Superconducting Fault Current Limiter (초전도한류기의 신뢰도에 관한 연구)

  • Bae, In-Su;Kim, Sung-Yul;Kim, Jin-O
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.1
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    • pp.101-106
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    • 2011
  • The failure of cooling system in Superconducting Fault Current Limiter(SFCL) increases the impedance of superconducting device, and due to malfunction of inner switches the SFCL opens the distribution system inadvertently when required to do so. In this paper, the ground fault and short circuit fault were classified as active failure and the open circuit fault was passive failure. A reliability model of SFCL considers the passive failure as well as active failure, and in the case study the reliability indices of distribution system are evaluated. It is possible that the reliability evaluation excluded passive failure makes the customers reliability seem so worse than it really was. Therefore, the reliability models of SFCL must include the active failure and passive failure together to evaluate the reliability of distribution system connected SFCL.

Heating and Cooling Channel Design of Cross-Shaped Die for Warm Forming of Magnesium Alloy Sheet (Mg 온간성형을 위한 십자형상 금형의 가열/냉각 채널 설계)

  • Choi, S.C.;Ko, D.S.;Kim, H.Y.;Kim, H.J.;Hong, S.M.;Ryu, S.Y.;Shin, Y.S.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2008.05a
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    • pp.370-373
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    • 2008
  • It is known that the temperatures of die, punch, holder and punch pad need to be kept different to get better formability in Mg sheet forming processes. Heating and cooling channels are usually equipped in each tool to assign different temperature. This study focused on the optimal design of the heating and cooling channels for a cross-shaped deep drawing die set. While the die and blankholder were heated to and kept at $250^{\circ}C$ by using heat cartridges, the punch and punch pad were kept at much lower temperature than that of the die and blankholder by water circulating through cooling channels. All the approaches were done by numerical analyses, aiming to maximize the cup height and to minimize the punch corner radius without any failure.

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