• 전기학회논문지
• /
• 제58권6호
• /
• pp.1071-1077
• /
• 2009

Because several winds cause the a fault of transmission supply, KEPCO trys to protect the the trouble and supply the power stably. Kepco find out the weak mountains by winds and strengthen the power equipment annually. Power quality is the competition power in the international world and satisfy the customer using th power Therefore this paper deals with the fault relation between winds and transmission line.

• Structural Engineering and Mechanics
• /
• 제43권4호
• /
• pp.527-543
• /
• 2012

This paper presents a response spectrum analysis procedure suitable for base isolated regular buildings subjected to near fault ground motions. This procedure is based on the fact that the isolation system may be treated separately since the superstructure behaves as a rigid body on well selected isolation systems. The base isolated building is decomposed into several single-degree of freedom systems, the first one having the total weight of the building is isolated while the remainder when superposed they replicate approximately the behavior of the superstructure. The response of the isolation system is governed by a response spectrum generated for a single isolated mass. The concept of the procedure and its application for the analysis of base isolated structures is illustrated with an example. The present analysis procedure is shown to be accurate enough for the preliminary design and overcomes the limits of applicability of the conventional linear response spectrum analysis.

• 전자공학회논문지A
• /
• 제32A권12호
• /
• pp.229-240
• /
• 1995

This paper proposes a new weighted random pattern testing technique to detect path delay faults in combinational logic circuits. When computing the probability of signal transition at primitive logic elements of CUT(Circuit Under Test) by the primary input, the proposed technique uses the information on the structure of CUT for initialization vectors and vectors generated by pseudo random pattern generator for test vectors. We can sensitize many paths by allocating a weight value on signal lines considering the difference of the levels of logic elements. We show that the proposed technique outperforms existing testing method in terms of test length and fault coverage using ISCAS '85 benchmark circuits. We also show that the proposed testing technique generates more robust test vectors for the longest and near-longest paths.

• 인터넷정보학회논문지
• /
• 제17권5호
• /
• pp.89-95
• /
• 2016

In a software testing domain, test case prioritization techniques improve the performance of regression testing, and arrange test cases in such a way that maximum available faults be detected in a shorter time. User-sessions and cookies are unique features of web applications that are useful in regression testing because they have precious information about the application state before and after making changes to software code. This approach is in fact a user-session based technique. The user session will collect from the database on the server side, and test cases are released by the small change configuration of a user session data. The main challenges are the effectiveness of Average Percentage Fault Detection rate (APFD) and time constraint in the existing techniques, so in this paper developed an intelligent framework which has three new techniques use to manage and put test cases in group by applying useful criteria for test case prioritization in web application regression testing. In dynamic weighting approach the hybrid criteria which set the initial weight to each criterion determines optimal weight of combination criteria by evolutionary algorithms. The weight of each criterion is based on the effectiveness of finding faults in the application. In this research the priority is given to test cases that are performed based on most common http requests in pages, the length of http request chains, and the dependency of http requests. To verify the new technique some fault has been seeded in subject application, then applying the prioritization criteria on test cases for comparing the effectiveness of APFD rate with existing techniques.

• 전자공학회논문지C
• /
• 제35C권9호
• /
• pp.29-37
• /
• 1998

가중 무작위 패턴 테스트에서 적은 수의 가중 무작위 패턴을 사용하여 높은 고장 검출율을 달성하기 위해서는 최적화된 가중치 집합들을 찾아내야만 한다. 따라서 최적화된 가중치 집합을 찾아내려는 많은 연구가 행해져 왔다. 이 논문에서 결정론적인 테스트 패턴에 대한 샘플링 확률을 기반으로 하여 최적화된 가중치 집합을 효율적으로 찾는 새로운 가중치 집합 최적화 알고리듬을 제한한다. 아울러 시뮬레이션을 통해 적당한 최대해밍거리를 구하는 방법도 소개된다. ISCAS 85 벤치마크 회로에 대한 실험결과는 새로운 가중치 집합 최적화 알고리듬과 적절한 최대 해밍거리를 구하는 방법의 효율성을 뒷받침해 준다.

• 한국화재소방학회논문지
• /
• 제27권2호
• /
• pp.1-5
• /
• 2013

본 논문은 사고전압 감지형의 아크차단 제어회로에 대한 연구로써, 전기사고 발생 시 선간전압의 순간적인 전압감쇠를 감지하여 기존 차단기를 동작시키는 전압감지형 전기화재 예방장치이다. 현재 저압배전 계통에 사용중인 누전차단기, 배선용차단기 그리고 RCD 등은 전기화재의 주요 요인인 아크사고에 대해 보호능력이 없는 것으로 분석된다. 본 논문에서는 이러한 문제점들을 개선하기위하여 이전의 전류감지에 의한 아크사고 차단방식이 아닌 사고발생 시 전압파형의 왜곡을 이용한 새로운 전압감지형 아크차단 제어회로를 개발하여 전기화재를 예방하고자 한다. 제안한 아크차단 제어회로는 소형 경량으로 제작되는 장점과 다양한 동작분석을 통하여 그 실용성을 검증하였다.

• 융합신호처리학회논문지
• /
• 제9권1호
• /
• pp.75-81
• /
• 2008

산업 전반에 걸쳐 유도 전동기는 필수적인 요소로 그 비중이 매우 크다. 이에 수반하여 유도 전동기의 고장은 단지 유도 전동기라는 전기기기에 국한되는 것뿐만 아니라 진동기의 다른 부분에 영향을 미치거나 다른 고장을 유발하는 원인이 되기도 한다. 이는 산업 시스템의 신뢰성을 실추시키는 악영향을 수반한다. 따라서 이를 예방하기 위한 여러 연구가 진행되고 있다. 본 논문에서는 산업 전반에 걸쳐 널리 사용되고 있는 유도 전동기의 고장을 자동 판별하는 시스템을 제안한다. 이 시스템의 고장진단 방법은 고정자 전류를 취득하여 이를 웨이블릿 분석하여 그 신호의 특징을 추출한다 이렇게 추출된 신호의 특징을 신경망을 사용해서 자동 판별하게 된다. 유도 전동기의 고장의 대부분을 차지하는 3가지의 고장을 모의 고장 유도전동기를 사용해서 시험하였다. 제안하는 시스템은 3가지의 유도 전동기의 고장을 간단한 장비로 진단을 수행하여 신뢰도 높은 고장 진단 시스템을 제안하였다.

• Nuclear Engineering and Technology
• /
• 제53권1호
• /
• pp.148-163
• /
• 2021

Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific characteristics of critical control components such as electric valves. This work presents an integrated shallow-deep fault diagnostic model, developed based on signals extracted from DN50 electric valve. First, the local optimal issue of particle swarm optimization algorithm is solved by optimizing the weight search capability, the particle speed, and position update strategy. Then, to develop a shallow diagnostic model, the modified particle swarm algorithm is combined with support vector machine to form a hybrid improved particle swarm-support vector machine (IPs-SVM). To decouple the influence of the background noise, the wavelet packet transform method is used to reconstruct the vibration signal. Thereafter, the IPs-SVM is used to classify phase imbalance and damaged valve faults, and the performance was evaluated against other models developed using the conventional SVM and particle swarm optimized SVM. Secondly, three different deep belief network (DBN) models are developed, using different acoustic signal structures: raw signal, wavelet transformed signal and time-series (sequential) signal. The models are developed to estimate internal leakage sizes in the electric valve. The predictive performance of the DBN and the evaluation results of the proposed IPs-SVM are also presented in this paper.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
• /
• pp.680-683
• /
• 1997

Fieldbus system should be designed by considering the number of sensors/actors(actuators+ controllers) and their sampling times. But the number of sensors/actors and which are connected to the network bus can be varied by addition and/or fault of the field devices. That variation decreases the efficiency of system which is off-line designed optimally. This paper proposes an algorithm that ensures transmission of cyclic data even though there is the number change in the field devices. We assign the different weight values to cyclic data and acyclic data. By simulation and experiment, the cyclic and acyclic data are processed via the proposed network, and the results are compared with those of the Profibus system. It is shown that the proposed algorithm is more robust with the uncertainties of the field devices of the control system.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2003년도 춘계학술대회 논문집
• /
• pp.1553-1556
• /
• 2003

As the public use part of the railway and the road, the railway crossing is important to work properly by two transportation means. Also, It is important to provide the good face of friction on the railway crossing in aspect of protecting the railway crossing accident. Lately, the material of railway crossing panel is the wood. the asphalt, and the steel. As they have a various fault, it was studied to analyze the structural action of the new material. rubber panel. This paper analyzed eigenvalue, stress and displacement by truck passing weight and thermal stress using the FEM model.