• Title/Summary/Keyword: Fault Model

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Priority-based Differentiated Service in Spectrum Mobility Game

  • Lu, Bingxian;Qin, Zhenquan;Wang, Lei;Sun, Liang;Zhu, Ming;Shu, Lei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.4
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    • pp.1324-1343
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    • 2014
  • In recent years, the problem of spectrum mobility in Cognitive Radio (CR) Networks has been widely investigated. In order to utilize spectrum resources completely, many spectrum handoff techniques based on game theory have been proposed, but most studies only concern that users how to achieve better payoffs, without much attention to the diverse needs of users. In this paper, we propose a new channel-switching model based on game theory, using a prioritized approach to meet the diverse needs of users in two different modes (CQ and PS). At the same time, this paper proposes some acceleration techniques to reach the Nash equilibrium more efficiently. We evaluate the performance of the proposed schemes depending on priority using real channel availability measurements, and conclude that the channel quality function (CQ) mode provide better service for priority user but the plan-sorting (PS) mode can be more suitable in multiple priority users exist scene.

Fault Prediction of Photovoltaic Monitoring System based on Power Generation Prediction Model (발전량 예측 모델 기반의 태양광 모니터링 시스템 고장 예측)

  • Hong, Jeseong;Park, Jihoon;Kim, Youngchul
    • Journal of Platform Technology
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    • v.6 no.2
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    • pp.19-25
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    • 2018
  • Existing Photovoltaic(PV) monitoring system monitors the current, past power generation, all values of environmental sensors. It is necessary to predict solar power generation for efficient operation and maintenance on the power plant. We propose a method for estimating the generation of PV data based PV monitoring system with data accumulation. Through this, we intend to find the failure prediction of the photovoltaic power plant in proportion to the predicted power generation. As a result, the administrator can predict the failure of the system it will be prepared in advance.

METHOD FOR THE ANALYSIS OF TEMPORAL CHANGE OF PHYSICAL STRUCTURE IN THE INSTRUMENTATION AND CONTROL LIFE-CYCLE

  • Goring, Markus;Fay, Alexander
    • Nuclear Engineering and Technology
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    • v.45 no.5
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    • pp.653-664
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    • 2013
  • The design of computer-based instrumentation and control (I&C) systems is determined by the allocation of I&C functions to I&C systems and components. Due to the characteristics of computer-based technology, component failures can negatively affect several I&C functions, so that the reliability proof of the I&C systems requires the accomplishment of I&C system design analyses throughout the I&C life-cycle. On one hand, this paper proposes the restructuring of the sequential IEC 61513 I&C life-cycle according to the V-model, so as to adequately integrate the concept of verification and validation. On the other hand, based on a metamodel for the modeling of I&C systems, this paper introduces a method for the modeling and analysis of the effects with respect to the superposition of failure combinations and event sequences on the I&C system design, i.e. the temporal change of physical structure is analyzed. In the first step, the method is concerned with the modeling of the I&C systems. In the second step, the method considers the analysis of temporal change of physical structure, which integrates the concepts of the diversity and defense-in-depth analysis, fault tree analysis, event tree analysis, and failure mode and effects analysis.

Electromagnetic Tomography Using Finite Element Method (유한요소법을 이용한 전자탐사 토모그래피 연구)

  • Son, Jeong-Sul;Song, Yoon-Ho;Kim, Jung-Ho
    • 한국지구물리탐사학회:학술대회논문집
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    • 2007.06a
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    • pp.185-190
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    • 2007
  • In this study, we developed the 2.5D EM modeling and inversion algorithm for cross-hole source and receiver geometry. Considering the cross-hole environment, we use a VMD (vertical magnetic dipole) as a source and vertical magnetic fields as a measuring data. Developed inversion algorithm is tested for the isolated block model which has a conductive and a resistivity anomaly respectively. For the conductive anomaly, its size and resistivity are inverted well on the inversion results, while for the resistive anomaly, the location of anomalous block is shown on the inverted section, but its values are far from the exact value. Furthermore, artificial conductive anomalies are shown around the resistive anomalous zone. If we consider the inversion artifact shown in the test inversion of restive block, it is almost impossible to image the resistive zone. However, the main target of EM tomography in the engineering problem is conductive target such as fault zone, and contaminated zone etc., EM tomography algorithm can be used for detecting the anomalous zone.

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Generation and Recognition Language Model for Spoken Language Parser (구어파서를 위한 생성 인식 언어모델)

  • Jeong, Hong;Hwang, Kwang-Il
    • Annual Conference on Human and Language Technology
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    • 1999.10e
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    • pp.167-172
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    • 1999
  • 구어는 프로그래밍 언어와는 달리 주어진 문장 내에서의 해당 어휘의 뜻(semantic information)을 알고 다른 어휘들과의 연관성 (grammatical information)을 알아야만 적절한 형태소분석이 가능하다. 또한 구어는 방대한 양의 어휘들로 구성되어 있으며 사용하는 사람마다의 다양한 응용과 공식화되기 어려운 수많은 예외들로 운용되기 때문에 단순히 찾아보기표와 오토마타만으로는 형태소분석에 한계가 있다. 이에 본 논문에서는 주어진 어휘집과 그 어휘들로 만들어진 다양한 문장들로부터 구어운용의 근본기제를 스스로 학습해나가는 강화학습중심의 언어모델을 제안하고 실제로 한국어 형태소분석에 적용하여 그 성능과 특성을 파악해보았다. 구어파서의 입력은 음절단위의 발음이며 인간이 문장을 듣거나 보는 것과 동일하게 시간에 따라 순차적으로 입력된다. 파서의 출력 또한 시간에 따라 변화되면서 나타나며 입력된 연속음절을 형태소단위로 분리(segmentation)하고 분류(labeling)한 결과를 나타낸다. 생성인식 언어모델이 기존의 언어모델과 다른 점은 구어 파싱에 있어서 필수적인 미등륵어에 대한 유연성과 앞단의 음성인식기 오류에 적절한 반응(fault tolerance)을 나타내는 것이다.

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Development of Equipment Operating Condition Diagnosis Model Using the Fuzzy Inference (퍼지추론을 이용한 설비가동상태진단 모델 연구)

  • Jeong, Young-Deuk;Park, Ju-Sik
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.28 no.4
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    • pp.109-115
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    • 2005
  • In the study, Methods for operating measures in equipment security to find out dangerousness timely in the system and to need for the prevention and measures. The method for analyzing and reconstructing the causes of accident of equipment in site, and try to save the information of site in real-time and to analyze the state of equipment to look for the factors of accidents. By this analysis, one plan for efficiency of production, Equipment Fault Diagnosis Management and security is integrating and building module of using the Fuzzy Inference based on fuzzy theory. The case study is applied to the industrial electric motors that are necessarily used to all manufacturing equipment. Using the sensor for temperature is attached to gain the site information in real time and to design the hardware module for signal processing. In software, realize the system supervising and automatically saving to management data base by the algorithm based in fuzzy theory from the existing manual input system

A Study on the Frequency Control for Cheju HVDC linked System (제주 HVDC 연게 시스템의 주파수 제어에 관한 연구)

  • Park, Jong-Kwang;Choi, Jong-Kee;Jin, Seong-Eun;Kim, Chan-Ki;Han, Byung-Sung;Kim, Kyung-Chul
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.2
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    • pp.145-151
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    • 2005
  • Cheju-Haenam HVDC link transmits electrical power up to 300[MW] Because of its size, HVDC system has a great potential for damping power system oscillations. This paper with the frequency control of the KEPCO HVDC system linking Haenam to Cheju island. Frequency control at Cheju island ensures that the island AC system frequency is maintained Performance are evaluated using a reduced Cheju network and a detailed model of the fm system modelled in the PST software. Transient oscillations for the 3 phase fault carried out with HVDC frequency control are well damped as the control parameters have been adjusted.

Probabilistic Risk Assessment for Construction Projects (건설공사의 확률적 위험도분석평가)

  • 조효남;임종권;김광섭
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1997.10a
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    • pp.24-31
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    • 1997
  • Recently, in Korea, demand for establishment of systematic risk assessment techniques for construction projects has increased, especially after the large construction failures occurred during construction such as New Haengju Bridge construction projects, subway construction projects, gas explosion accidents etc. Most of existing risk analysis modeling techniques such as Event Tree Analysis and Fault Tree Analysis may not be available for realistic risk assessment of construction projects because it is very complex and difficult to estimate occurrence frequency and failure probability precisely due to a lack of data related to the various risks inherent in construction projects like natural disasters, financial and economic risks, political risks, environmental risks as well as design and construction-related risks. Therefor the main objective of this paper is to suggest systematic probabilistic risk assessment model and demonstrate an approach for probabilistic risk assessment using advanced Event Tree Analysis introducing Fuzzy set theory concepts. It may be stated that the Fuzzy Event Tree AnaIysis may be very usefu1 for the systematic and rational risk assessment for real constructions problems because the approach is able to effectively deal with all the related construction risks in terms of the linguistic variables that incorporate systematically expert's experiences and subjective judgement.

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Operational Availability Improvement through Online Monitoring and Advice For Emergency Diesel Generator

  • Lee, Jong-Beom;Kim, han-Gon;Kim, Byong-Sub;M. Golay;C.W. Kang;Y. Sui
    • Proceedings of the Korean Nuclear Society Conference
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    • 1998.05a
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    • pp.264-270
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    • 1998
  • This research broadens the prime concern of nuclear power plant operations from safe performance to both economic and safe performance. First emergency diesel generator is identified as one of main contributors for the lost plant availability through the review of plants forced outage records. The framework of an integrated architecture for performing modern on-line condition for operational availability improvement is configured in this work. For the development of the comprehensive sensor networks for complex target systems, an integrated methodology incorporating a structural hierarchy, a functional hierarchy, and a fault-system matrix is formulated. The second part of our research is development of intelligent diagnosis and maintenance advisory system, which employs Bayesian Belief networks (BBNs) as a high level reasoning tool incorporating inherent uncertainty use in probabilistic inference. Our prototype diagnosis algorithms are represented explicitly through topological symbols and links between them in a causal direction. As new evidence from sensor network development is entered into the model especially, our advisory of system provides operational advice concerning both availability and safety, so that the operator is able to determine the likely modes, diagnose the system state, locate root causes, and take the most advantageous action. Thereby, this advice improves operational availability

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Providing Approximate Answers Using a Knowledge Abstraction Hierarchy (지식 추상화 계층을 이용한 근사해 생성)

  • Huh, Soon-Young;Moon, Kae-Hyun
    • Asia pacific journal of information systems
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    • v.8 no.1
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    • pp.43-64
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    • 1998
  • Cooperative query answering is a research effort to develop a fault-tolerant and intelligent database system using the semantic knowledge base constructed from the underlying database. Such knowledge base has two aspects of usage. One is supporting the cooperative query answering process for providing both an exact answer and neighborhood information relevant to a query. The other is supporting ongoing maintenance of the knowledge base for accommodating the changes in the knowledge content and database usage purpose. Existing studies have mostly focused on the cooperative query answering process but paid little attention to the dynamic knowledge base maintenance. This paper proposes a multi-level knowledge representation framework called Knowledge Abstraction Hierarchy(KAH) that can not only support cooperative query answering but also permit dynamic knowledge maintenance, On the basis of the KAH, a knowledge abstraction database is constructed on the relational data model and accommodates diverse knowledge maintenance needs and flexibly facilitates cooperative query answering. In terms of the knowledge maintenance, database operations are discussed for the cases where either the internal contents for a given KAH change or the structures of the KAH itself change. In terms of cooperative query answering, four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

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