• Title/Summary/Keyword: fault detection

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Operational Concept Design and Verification for Airborne SAR System (항공탑재 SAR 시스템 운용개념 설계 및 검증)

  • Lee, Hyon-Ik;Kim, Se-Young;Jeon, Byeong-Tae;Sung, Jin-Bong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.7
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    • pp.588-595
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    • 2013
  • Airborne SAR system is the imaging Radar system that is loaded on a manned or unmanned aircraft, which is in charge of high quality image acquisition and moving target detection. This paper describes the operational requirements for the Airborne SAR system and suggests the operational concept to satisfy the requirements. To be specific, it describes the interface with airborne system, state definition and transition, operation mode based on mission definition file, fault management, and data storing and transmission concept. Finally, it gives the ground test results to verify the SAR system operational concept.

Design and Implementation of Web based Voice Traffic Management System using CDR (CDR을 이용한 웹 기반 음성 트래픽 관리시스템의 설계 및 구현)

  • Kim, Eun-Seong;An, Seong-Jin;Jeong, Jin-Uk
    • The KIPS Transactions:PartC
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    • v.8C no.5
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    • pp.657-666
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    • 2001
  • In this paper, it is proposed the management items for voice traffic using CDRs so that global carriers can treat and manage the voice traffic for a customer, and defined computational expressions to produce the management items. From them, we have designed the management system, which is composed of web interface module, analysis module, data collection module and database management module, and have improved the availability and convenience of the system using web technologies. In addition, we have tested these items using CDRs in real environments that are collected by the global carrier in order to verify their validity. It is expected that the proposed web based voice traffic management system provide a global carrier with network information collection, fault detection/trouble-shooting and high quality of service through analyzing the characteristics of subscribers.

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Study on the installation for DAS(Distribution Automation System) which the Grounding Fault Detection is possible in Non-Grounding System (비접지계통에서 지락고장검출이 가능한 배전자동화시스템 구축)

  • Park, Hak-Yeol;Kim, Ju-Seong;Seol, Ieel-Ho
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1_3
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    • 2009
  • 국내 내륙 전체 배전계통은 "22.9kV-Y 중성선 다중접지방식"으로 일원화하여 운영 중에 있으나 도서 섬지역은 자체 내연력 발전 설비를 갖추고 380V-Y로 발전하여 $6.6kV-{\Delta}$로 승압 후 전력을 공급하고 있다. 현재 한전은 설비용량 200kW이상 38개 도서에서 비접지 계통으로 운영 중에 있다. KEPCO와 KDN은 비접지계통($6.6kV-{\Delta}$)으로 운영중인 도서 중 전북지사 부안지점 관내 위도에 시범운영을 통해서 실선로에서 비접지 1선 지락 고장 검출여부 검증을 시행하였다. 시범운영에는 배전자동화 시스템 주장치 1식, mFRTU 12대를 개폐기와 같이 설치하였는데, mFRTU에는 독창적이고 상용화 가능한 "비접지 지락고장검출 알고리즘" 개발하여 탑재하였으며 1선 지락고장을 발생시켜 mFRTU가 고장선로와 고장지점을 정확하게 검출하는지 여부를 검증하였다. 이번에 비접지계통 실선로에서 지락고장을 완벽하게 검출한 가장 큰 의의는 국내 및 해외 최초로 비접지 지락고장검출을 성공하였다는 것입니다. 본 논문에서는 비접지로 운영중인 도서지역에 배전자동화시스템 기반으로 지락고장검출하는 기능을 상용화하여 운영중인 시스템에 대한 내용이다. 이번에 구축한 배전자동화시스템은 비접지계통에 알맞도록 개발된 자동화용 개폐기와mFRTU에 지락고장검출 알고리즘을 기능 구현하였다. 선로에 1선지락 고장발생시 mFRTU가 고장선로, 고장구간 및 고장상 등을 판단하고 상위 주장치에 전송한다. 주장치는 고장정보를 HMI 단선도에 고장지점을 표시하여 종합적으로 감시제어 할 수 있는 시스템이다.

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A comparative study on learning effects based on the reliability model depending on Makeham distribution (Makeham분포에 의존한 신뢰성모형에 근거한 학습효과 특성에 관한 비교 연구)

  • Kim, Hee-Cheul;Cheul, Shin-Hyun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.5
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    • pp.496-502
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    • 2016
  • In this study, we investigated the comparative NHPP software model based on learning techniques that operators in the process of software testing and development of software products that can be applied to software test tool. The life distribution was applied Makeham distribution based on finite fault NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is larger than automatic error that is usually well-organized model could be established. This paper, a trust characterization of applying using time among failures and parameter approximation using maximum likelihood estimation, after the effectiveness of the data through trend examination model selection were well-organized using the mean square error and $R^2$. From this paper, the software operators must be considered life distribution by the basic knowledge of the software to confirm failure modes which may be helped.

A Study of Automatic Fire Detection Installation based CAN Comunnication (CAN 통신기반 자동화재탐지설비에 관한 연구)

  • Kim, Young-Dong;Oh, Guem-Kon;Kang, Won-Chan
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.2
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    • pp.50-59
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    • 2006
  • In this paper, We are going to propose the fire protection system using CAN(Controller Area Network). The larger, higher and deeper buildings an, the more dangerous people are when fire happens. We should be aware of the problems of prior fire protection system. Therefore, we construct the embedded system based on CAN communication that is capable of N to N communication, and build independent fire protection system. If the fire is occurred on the building, the problem is that how fast we can detect the fire and put it on by using available system, this is major factor that reduces damage of our wealth. Therefore in this studies, We would like to design more stable system than current system. This system is based on CAN communication which is available N to N communication constructs and designed to compensate for each fault, so that our aim is to reduce the wires of system, cost of installation and to suppose future type fire protection system.

Design of Kinematic Position-Domain DGNSS Filters (차분 위성 항법을 위한 위치영역 필터의 설계)

  • Lee, Hyung Keun;Jee, Gyu-In;Rizos, Chris
    • Journal of Advanced Navigation Technology
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    • v.8 no.1
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    • pp.26-37
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    • 2004
  • Consistent and realistic error covariance information is important for position estimation, error analysis, fault detection, and integer ambiguity resolution for differential GNSS. In designing a position domain carrier-smoothed-code filter where incremental carrier phases are used for time-propagation, formulation of consistent error covariance information is not easy due to being bounded and temporal correlation of propagation noises. To provide consistent and correct error covariance information, this paper proposes two recursive filter algorithms based on carrier-smoothed-code techniques: (a) the stepwise optimal position projection filter and (b) the stepwise unbiased position projection filter. A Monte-Carlo simulation result shows that the proposed filter algorithms actually generate consistent error covariance information and the neglection of carrier phase noise induces optimistic error covariance information. It is also shown that the stepwise unbiased position projection filter is attractive since its performance is good and its computational burden is moderate.

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Implementation of Analyzer of the Alert Data using Data Mining (데이타마이닝 기법을 이용한 경보데이타 분석기 구현)

  • 신문선;김은희;문호성;류근호;김기영
    • Journal of KIISE:Databases
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    • v.31 no.1
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    • pp.1-12
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    • 2004
  • As network systems are developed rapidly and network architectures are more complex than before, it needs to use PBNM(Policy-Based Network Management) in network system. Generally, architecture of the PBNM consists of two hierarchical layers: management layer and enforcement layer. A security policy server in the management layer should be able to generate new policy, delete, update the existing policy and decide the policy when security policy is requested. And the security policy server should be able to analyze and manage the alert messages received from Policy enforcement system in the enforcement layer for the available information. In this paper, we propose an alert analyzer using data mining. First, in the framework of the policy-based network security management, we design and implement an alert analyzes that analyzes alert data stored in DBMS. The alert analyzer is a helpful system to manage the fault users or hosts. Second, we implement a data mining system for analyzing alert data. The implemented mining system can support alert analyzer and the high level analyzer efficiently for the security policy management. Finally, the proposed system is evaluated with performance parameter, and is able to find out new alert sequences and similar alert patterns.

Real-Time Object Model dRTO (실시간 객체 모델 dRTO)

  • Lee, Sheen;Son, Hyuk-Su;Yang, Seung-Min
    • Journal of KIISE:Computer Systems and Theory
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    • v.27 no.3
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    • pp.300-312
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    • 2000
  • The application areas of embedded real-time systems are very wide and so are the requirements for real-time processing and reliability of the systems. To develop embedded real-time systems effectively with its real-time and reliability properties guaranteed, an appropriate real-time model is needed. Recently, the research on real-time object-oriented model is active, which graft the concept of object-orientation on real-time systems modeling and development. In this paper, we propose dRTO (dependable Real-Time Object) model, with 5 primitive classes. These allow designers to effectively model the characteristics of real-time systems, i.e., object-orientation, real-time-ness and dependability. The dRTO model has three main features. First, it is able to model and implement the timing constraints imposed on real-time objects as well as interactions among the objects. Second, hardware and software components (including kernel) of embedded systems can be modeled in one frame. Third, it is able to represent fault detection and recovery mechanisms explicitly.

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Real-time Fault Detection and Classification of Reactive Ion Etching Using Neural Networks (Neural Networks을 이용한 Reactive Ion Etching 공정의 실시간 오류 검출에 관한 연구)

  • Ryu Kyung-Han;Lee Song-Jae;Soh Dea-Wha;Hong Sang-Jeen
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.7
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    • pp.1588-1593
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    • 2005
  • In coagulant control of water treatment plants, rule extraction, one of datamining categories, was performed for coagulant control of a water treatment plant. Clustering methods were applied to extract control rules from data. These control rules can be used for fully automation of water treatment plants instead of operator's knowledge for plant control. To perform fuzzy clustering, there are some coefficients to be determined and these kinds of studies have been performed over decades such as clustering indices. In this study, statistical indices were taken to calculate the number of clusters. Simultaneously, seed points were found out based on hierarchical clustering. These statistical approaches give information about features of clusters, so it can reduce computing cost and increase accuracy of clustering. The proposed algorithm can play an important role in datamining and knowledge discovery.

A Study on the Test Strategy of Digital Circuit Board in the Production Line Based on Parallel Signature Analysis Technique (PSA 기법에 근거한 생산라인상의 디지털 회로 보오드 검사전략에 대한 연구)

  • Ko Yun-Seok
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.11
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    • pp.768-775
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    • 2004
  • The SSA technique in the digital circuit test is required to be repeated the input pattern stream to n bits output nodes n times in case of using a multiplexor. Because the method adopting a parallel/serial bit convertor to remove this inefficiency has disadvantage of requiring the test time n times for a pattern, the test strategy is required, which can enhance the test productivity by reducing the test time based on simplified fault detection mechanism. Accordingly, this paper proposes a test strategy which enhances the test productivity and efficiency by appling PAS (Parallel Signature Analysis) technique to those after analyzing the structure and characteristics of the digital devices including TTL and CMOS family ICs as well as ROM and RAM. The PSA technique identifies the faults by comparing the reminder from good device with reminder from the tested device. At this time, the reminder is obtained by enforcing the data stream obtained from output pins of the tested device on the LFSR(Linear Feedback Shift Resister) representing the characteristic equation. Also, the method to obtain the optimal signature analyzer is explained by furnishing the short bit input streams to the long bit input streams to the LFSR having 8, 12, 16, 20bit input/output pins and by analyzing the occurring probability of error which is impossible to detect. Finally, the effectiveness of the proposed test strategy is verified by simulating the stuck at 1 errors or stuck at 0 errors for several devices on typical 8051 digital board.