• Progress in Superconductivity and Cryogenics
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• v.19 no.2
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• pp.33-37
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• 2017

To protect the power systems from fault current, the rated protective equipment should be installed. However growth of power system scale and concentration of loads caused the large fault current in power transmission system and distribution system. The capacities of installed protective equipment have been exceeded the due to increase of fault current. This increase is not temporary phenomenon but will be steadily as long as the industry develops. The power system operator need a counter-measurement for safety, so superconducting fault current limiter (SFCL) has been received attention as effective solutions to reduce the fault current. For the above reasons various type SFCLs have been studied recently. In this paper, operation characteristics and power burden of trigger type SFCL is studied. The trigger type SFCL has been used for real system research in many countries. Another trigger type SFCL (double quench trigger type SFCL) is also studied. For this paper, short circuit test is performed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.4
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• pp.737-743
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• 2008

I compare my parameter estimation methodoloay with existing method, considering both of testing effort and fault detecting rate simultaneously in software reliability modeling. Generally speaking, fault detection/removal mechanism depends on how apply previous fault detection/removal and testing effort of S/W. The fault removal efficiency makes large influence to the reliability growth, testing and removal cost in developing stage S/W. This is very useful measure during all the developing stages and much helpful for the developer to estimate debugging efficiency, and furthermore, to anticipate additional working amount.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.12
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• pp.1587-1594
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• 2018

In south korea, the government make a plan to generate the 20% of the total electrical power as renewable source like wind generation and solar generation. This plan will accelerate the increase of fault current with power industry's growth. As the increase of fault current, the superconducting fault current limiter (SFCL) has been studied. In case that the SFCL is applied in power system, it can cause the overcurrent relay (OCR)'s trip delay because of the reduced fault current. In this paper, the overcurrent relay with voltage component was suggested to improve the OCR's trip delay caused by the SFCL and compensational constant was introduced to have the trip time similar to the trip time of case without the SFCL. For conforming the effect of the suggested OCR with voltage component, the PSCAD/EMTDC simulation modeling and analysis were conducted. Through the simulation, it was conformed that the trip delay could be improved by using the suggested OCR and compensational constant.

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.27-29
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• 2001

As the amount of electric power consumption is increasing rapidly, the power systems are complex and growing larger. It is required that the quality of electricity is better. To satisfy this demands It is required to analyze the data of the fault accurately and then to find a cause and to enforce a countermeasure. We analyzed the fault of transmission & substation installation over 66kV statistically to operate the power system well. We introduced the faults that are classified into the cause, the facilities, the voltage. This paper explains the experience of the fault in electric power coporation that is operating the large power system. This paper will be meaningful. because this paper gives the data of real power system. We wish that the reliability of power suppliment will be improved, as using this paper properly and this paper is helpful to the growth of this field and the development of technology.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.11
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• pp.2089-2094
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• 2009

The fault current has increased due to growth of distributed generations for the large power demand in power distribution system. To solve some problem such as excess of the circuit breaker's cut-off ratings, the superconducting fault current limiter(SFCL) has been progressed. However, the operational characteristics of the relay is changed by SFCL. Therefore, the proper impedance for the SFCL should be selected to keep protective coordination with the SFCL when SFCL is introduced on the neutral line of main transformer in distribution system. In this paper, the proper normal conducting resistance was suggested to solve the problem in case of the protection coordination with SFCL.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.813-823
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• 2008

The non-homogeneous Poisson process(NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering. The fault detection rate is usually assumed to be the continuous and monotonic function. However, the fault detection rate can be affected by many factors such as the testing strategy, running environment and resource allocation. This paper describes a parameter estimation of software reliability growth model with change-point problem. We obtain the maximum likelihood estimate(MLE) and least square estimate(LSE), and compare goodness-of-fit.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.2
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• pp.185-190
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• 2010

Condition monitoring(CM) is a method based on non-destructive test(NDT). So, recently many kind of NDT were applied for CM. Acoustic emission(AE) is widely used for the early detection of faults in rotating machinery in these days because of high sensitivity than common accelerometers and detectable low energy vibration signals. And crack is considered one of severe fault in the rotating machine. Therefore, in this paper, study on early detection using AE has been accomplished for the crack of the low-speed shaft. There is a seeded initial crack on the shaft then the AE signal had been measured with low-speed rotation as the applied load condition. The signal detected from crack in rotating machine was detected by the AE transducer then the trend of crack growth had found out by using some of feature values such as peak value, skewness, kurtosis, crest factor, frequency center value(FC), variance frequency value(VF) and so on.

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.36-40
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• 1990

According to the rapid growth of transmission power, fault current level approaches to the maximum capacity of circuit breaker. This paper has been proposed a superconducting current limiter (SCL) to reduce the fault current to appropriate level. Superconductor for SCL has been examined and design criterion of each triggering method has been shown. Superconducting current limiter was fabricated using thin film and switching characteristics were shown, where thermal and current triggering were adopted.

• Journal of the Korean Society of Industry Convergence
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• v.4 no.2
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• pp.199-205
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• 2001

With the growth of BiCMOS technology in ASIC design, the issue of analyzing fault characteristics and testing techniques for BiCMOS circuits become more important In this paper, we analyze the fault models and characteristics of high speed full-swing BiCMOS circuits and the DFT technique to enhance the testability of full-swing high speed BiCMOS circuits is discussed. The SPICE simulation is used to analyze faults characteristics and to confirm the validity of DFT technique.

• Journal of the Microelectronics and Packaging Society
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• v.31 no.2
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• pp.45-53
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• 2024

The maintenance of semiconductor equipment is crucial for the continuous growth of the semiconductor market. System management is imperative given the anticipated increase in the capacity and complexity of industrial equipment. Ensuring optimal operation of manufacturing processes is essential to maintaining a steady supply of numerous parts. Particularly, monitoring the status of substrate transfer robots, which play a central role in these processes, is crucial. Diagnosing failures of their major components is vital for preventive maintenance. Fault diagnosis methods can be broadly categorized into physics-based and data-driven approaches. This study focuses on data-driven fault diagnosis methods due to the limitations of physics-based approaches. We propose a methodology for data acquisition and preprocessing for robot fault diagnosis. Data is gathered from vibration sensors, and the data preprocessing method is applied to the vibration signals. Subsequently, the dataset is trained using Gradient Tree-based XGBoost machine learning classification algorithms. The effectiveness of the proposed model is validated through performance evaluation metrics, including accuracy, F1 score, and confusion matrix. The XGBoost classifiers achieve an accuracy of approximately 92.76% and an equivalent F1 score. ROC curves indicate exceptional performance in class discrimination, with 100% discrimination for the normal class and 98% discrimination for abnormal classes.