• Proceedings of the IEEK Conference
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• 2000.11b
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• pp.176-179
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• 2000

Fault simulation is often necessary to determine the fault coverage of a given test, that is, to find all the faults detected by test. In this paper we implement a deductive fault simulation using counting method. Counting method uses f$\sub$ｉ/ of fault table and Search list to compute set operation. f$\sub$ｉ/ was counted by fault list of input gate. And we propagate fault list from primary inputs toward primary output by comparing with controling sum. It improved performance by reducing search of faults.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.12
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• pp.1552-1564
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• 1995

A fault detecting method of ternary logic is proposed by using the spectral coefficients of the Chrestenson function. Fault detecting conditions are derived for a stuck-at fault in case of single input, multiple inputs and internal lines in the ternary logic. The detecting conditions for min/max bridging faults are also considered. When using this fault analysis method, it is possible to detect faults without the test vector and minimize high volume memory for storing the vector and response data. Thus, the computational complexity for the test vector can be decreased.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.6
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• pp.695-702
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• 1998

In this paper, we propose a novel fault isolation filter design method using the left eigenstructure assignment scheme proposed by Choi et. al., The proposed filter shows good fault isolation performance with exact eigenstructure assignment. An eigenstructure assignment methodology which satisfies the required fault isolation conditions is also proposed. The proposed method guarantees that the corrupted m simultaneous faults can be isolated when the number of available output measurements are (m+1).

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.8
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• pp.1-9
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• 1998

A new parallel test algorithm and a built-in self test (BIST) architecture are developed to test various types of functional faults efficiently in content addressable memories (CAMs). In test mode, the read oepratin is replaced by one parallel content addressable search operation and the writing operating is performed parallely with small peripheral circuit modificatins. The results whow that an efficient and practical testing with very low complexity and area overhead can be achieved.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.85-85
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• 2000

In this paper, we propose a novel robust fault isolation filter design method using the left eigenstructure assignment scheme proposed b\ulcorner author. An eigenstructure assignment methodology that satisfies the required fault isolation conditions is also proposed. The proposed method guarantees that the corrupted ${\gamma}$ simultaneous faults can be isolated when the numbers of available output measurements are ${\gamma}$.

• Proceedings of the KSEEG Conference
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• 2002.04a
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• pp.280-282
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• 2002

We evaluated the potential of the limestone deposits distributed in the Uljin area, the north-eastern part of Gyungsang province, based on the results of the surface and underground geological survey. The geology of the Uljin area consists mainly of the Cambro-Ordovician Joseon Supergroup correlated to the Duwibong sequence of the south-eastern part of Gangwon province. The Joseon Supergroup rested unconformably on the Precambrian schists is divided into six formations , namely, Maesan, Gusanri, Namsusan, Songchon, Mongcheon, and Keummaeri formations in ascending order. Main geological structures are two thrust faults with NS trending, some normal and reverse faults, and folds.

• KIEE International Transactions on Electrophysics and Applications
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• v.3C no.4
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• pp.130-135
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• 2003

This study describes neural network based dissolved gas analysis using composition patterns of gas concentrations for transformer fault diagnosis. DGA samples were gathered from related literatures and classified into six types of faults and then a neural network was trained using the DGA samples. Diagnosis tests were performed by the trained neural network with DGA samples of serviced transformers, fault causes of which were identified by actual inspection. Diagnosis results by the neural network were in good agreement with actual faults.

• Nuclear Engineering and Technology
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• v.43 no.5
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• pp.437-446
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• 2011

Siting criteria for nuclear power plants require that faults be characterized as to their potential for generating earthquakes, or that the absence of the potential for these occurrences be demonstrated. Because the definition of active faults in Korea has been applied by the deterministic method, which depends on the numerical age of fault movement, the possibility of inherent uncertainties exists in determining the maximum earthquake from the fault sources for seismic design. In an attempt to overcome these problems this study suggests new criteria and a probabilistic quantitative diagnostic procedure that could estimate whether a fault is capable of generating earthquakes in the near future.

• 전기의세계
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• v.21 no.4
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• pp.39-44
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• 1972

This paper describes a new approach for minimizing working memory spaces without loosing too much amount of computing time in the analysis of power system faults. This approach requires the decomposition of alrge power system into several small groups of subsystems, forms individual bus impedance matrics, store them in the auxiliary memory, later assembles them to the original total system by algorithms. And also the approach uses techniques for diagonalizing primitive impedances and expanding the system bus impedance matrices by adding a fault bus. These scheme ensures a remarkable savings of working storage and continous computations of fault currents and voltages with the voried fault locations.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.952-954
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• 1998

This paper presents an artificial neural network approach to diagnose and detect faults in oil-filled power transformers based on dissolved gas analysis. The proposed algorithm is used to detect faults with or without cellulose involved. Several neural network topologies have been considered. Good diagnosis accuracy is obtained with the proposed approach.