• Title/Summary/Keyword: Fault Detecting

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Dynamics Modeling and Operation Simulation for the Simulation of Abrupt Faults in the Boiler Drum Level Control System of a Fossile Power Plant (돌발성 이벤트 형태의 고장 시뮬레이션을 위한 화력발전소 보일러 드럼 수위 제어 계통의 다이나믹스 모델링 및 운전 시뮬레이션)

  • Kim, Jeong-Geun;Kim, Jae-Hwa;Jang, Tae-Gyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.2
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    • pp.59-68
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    • 2002
  • This Paper presents the dynmics modeling and the operation simulation of the 500 MW drum-type boiler and its control system hosted in the Boryung Power Plant unit #1 and #2. The fidelity of the modeling and the operation simulation is well verified by their agreement with the actual data obtained form the plant operation. As a plant signal generator for the various operation patterns and fault situations, the simulation environment will be utilized to develope the fault detecting signal processing algorithms.

Fault Tolerance System running on Distributed Multimedia (분산 멀티미디어에서의 결함 허용 시스템)

  • Hong, Sung-Ryong;Ko, Eung-Nam
    • Journal of Digital Contents Society
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    • v.16 no.1
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    • pp.123-126
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    • 2015
  • This paper described fault tolerance system running on distributed multimedia. We implemented the error manager service so that the users participated in distribute multimedia collaborative work may refer synchronized error objects as the same view to others. distributed multimedia environment are based on IP-USN(Internet Protocol - Ubiquitous Sensor Network) and M2M(Machine to machine). This is a system that is suitable for detecting, sharing and recovering software error in distribute multimedia CSCW(Computer Supportes Cooperated Work) environment. With error synchronization system, a group cooperating users can synchronize error applications.

Architecture Modeling of a Performance Report Tool for a Cluster System (클러스터 시스템의 성능 레포트 툴의 아키텍처 모델링)

  • Kim, Ki;Choi, Eun-Mi
    • Proceedings of the Korea Society for Simulation Conference
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    • 2003.06a
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    • pp.67-71
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    • 2003
  • In order to manage a cluster system that consists of a number servers, management aspects such as configuration management, fault management, performance management, and user management should be considered. Especially, it is necessary to monitor performances for performance and fault management. An agent in each server collects performance counters, status changes, and events occurred in normal or abnormal states. The data collected are delivered to a collector sorter and processed in a report tool for performance analysts and management decision in the cluster system point of view, by detecting fault state and tracing out resource usage, service response, and response, and states until failed. In this paper we propose an architecture modeling of a performance report tool for proactive cluster system management. Some results on a cluster system are presented.

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Oscillation Frequency Detecting Technique for Transmission Line Protection using Prony's Analysis (프로니해석법을 이용한 공진 주파수 검출 알고리즘)

  • Cho, Kyung-Rae;Kim, Soong-Soo;Park, Jong-Koun;Hong, Jun-Hee
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.509-512
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    • 1995
  • The relaying algorithm to calculate the fault distance from only transient signal at faults in T/L is presented. In this paper. At faults the oscillation frequency components exist in both voltage and current and these components minimize the input impedance shown in fault point. The equivalent source impedance shown in relaying point is needed to calculate the fault distance using these components. To source impedance, the reflection coefficient between forward wave and backward and the Prony's analysis is also employed to extract the oscillation frequency component from transient signals. The case study show that the new distance relaying algorithm satisfies the high operation speed and high accuracy even if the algorithm uses only transient signals.

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Failsafe Logic for a vehicle Stability Control System (차량 주행안정성 제어시스템의 자동안전 로직)

  • Min, Kyung-Chan;Lee, Gun-Bok;Yi, Kyoung-Su
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.11
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    • pp.1685-1691
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    • 2004
  • This paper describes the fault detection and failsafe logic to be used in an Electronic Stability Program(ESP). The aim of this paper is to prevent of erroneous controls in the ESP. Developed this paper introduces the fault detection logic and evaluation of residual signals. The failsafe logic consists of four redundant sub-models, which can be used for detecting the faults in various sensors (yaw rate, lateral acceleration, steering wheel angle). We present two mathematical residual generation methods : one is a method using the average value and the other is a method using the minimum value of the each residual. We verified a failsafe logic developed using vehicle test results also we compare vehicle model based simulation results with test vehicle results.

Design of Control a Algorithm for Arc Fault Current without Current Sensor (센서없는 아크고장전류 제어 알고리즘 설계)

  • Ban, Gi-Jong;Kim, Lark-Kyo
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.6
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    • pp.255-260
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    • 2006
  • Arc Fault Current is an which occurrs in two opposite electrode. In this paper, arc current control algorithm is designed for the interruption of arc fault current which is occurred in the low voltage network. This arc is one of the main causes of electric fire. General arc current sensor has troubles for detecting arc currents, thus we would like to propose the arc current detection method without current sensor. In this parer, arc discharge currents within power lines are being detected through the arc current control algorithm.

Detection of Oscillatory Pattern Signals and its Application to the Fault Diagnosis of a Boiler Drum-Level Control System (Oscillatory 파형감지에 의한 보일러 플랜트 드럼수위 제어계통의 고장진단)

  • Kim, Jae-Hwa;Seo, Yeol-Kyu;Jang, Tae-Gyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.1
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    • pp.44-51
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    • 1999
  • This paper proposes a new approach of plant fault diagnosis which is based on detecting the characteristic pattern signals and associating them with the corresponding faults. The new approach does not require analytic modeling of the target system but best reflects the expertise embedded in the experienced human operation by mimicking them in a systematic way. This paper intends to illustrate the feasibility of the proposed by developing the algorithms to detect and estimate the typical characteristic pattern signals, I. e., oscillatory patterns, and applying them to the diagnosis of various faults of a 500MW boiler control system including tube rupture, feed-water leak, and controller failure.

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An Advanced Instrumentation Signal Analyzing Technique for Automated Power Plant Monitoring and Fault Diagnosis (발전소 운전감시 및 고장진단을 위한 계측기기 신호의 전처리 기법에 관한 연구)

  • Chang, Tae-Gyu
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.450-453
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    • 1996
  • This research presents a new method of detecting and diagnosing faults of a power plant. Detection of characteristic wave patterns from multichannel instrumentation signals forms the basis of the proposed approach. The dynamics of 500MW drum-type boiler (Boryung coal-fired plant unit #1 and #2) and its control systems are modeled and simulated to generate diverse operation patterns and fault situations and to utilize them for the development of the fault detection algorithms. The results of the boiler system modeling and simulations show a fairly high agreement when compared with some of the actual plant performance test data.

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A Method for Indentifying Broken Rotor Bar and Stator Winding Fault in a Low-voltage Squirrel-cage Induction Motor Using Radial Flux Sensor

  • Youn, Young-Woo;Hwang, Don-Ha;Sun, Jong-Ho;Kang, Dong-Sik
    • Journal of Electrical Engineering and Technology
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    • v.6 no.5
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    • pp.666-670
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    • 2011
  • In this paper, a method for detecting broken rotor bar and stator winding fault in a low voltage squirrel-case induction motor using an air-gap flux variation analysis is proposed to develop a simple and low cost diagnosis technique. To measure the leakage flux in radial direction, a radial flux sensor is designed as a search coil and installed between stator slots. The proposed method is able to identify two kinds of motor faults by calculating load condition of motors and monitoring abnormal signals those are related with motor faults. Experimental results obtained on 7.5kW three-phase squirrel-cage induction motors are discussed to verify the performance of the proposed method.

Improved PCA method for sensor fault detection and isolation in a nuclear power plant

  • Li, Wei;Peng, Minjun;Wang, Qingzhong
    • Nuclear Engineering and Technology
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    • v.51 no.1
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    • pp.146-154
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    • 2019
  • An improved principal component analysis (PCA) method is applied for sensor fault detection and isolation (FDI) in a nuclear power plant (NPP) in this paper. Data pre-processing and false alarm reducing methods are combined with general PCA method to improve the model performance in practice. In data pre-processing, singular points and random fluctuations in the original data are eliminated with various techniques respectively. In fault detecting, a statistics-based method is proposed to reduce the false alarms of $T^2$ and Q statistics. Finally, the effects of the proposed data pre-processing and false alarm reducing techniques are evaluated with sensor measurements from a real NPP. They are proved to be greatly beneficial to the improvement on the reliability and stability of PCA model. Meanwhile various sensor faults are imposed to normal measurements to test the FDI ability of the PCA model. Simulation results show that the proposed PCA model presents favorable performance on the FDI of sensors no matter with major or small failures.