• Title/Summary/Keyword: Fault Isolation

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Diagnosis of Multiple Crosstalk-Faults in Optical Cross Connects for Optical Burst Switching (광 버스트 스위칭을 위한 광 교환기에서의 다중 누화고장 진단기법)

  • 김영재;조광현
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.3
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    • pp.251-258
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    • 2003
  • Optical Switching Matrix (OSM) or Optical Multistage Interconnection Networks (OMINs) comprising photonic switches have been studied extensively as important interconnecting blocks for Optical Cross Connects (OXC) based on Optical Burst Switching (OBS). A basic element of photonic switching networks is a 2$\times$2 directional coupler with two inputs and two outputs. This paper is concerned with the diagnosis of multiple crosstalk-faults in OSM. As the network size becomes larger in these days, the conventional diagnosis methods based on tests and simulation become inefficient, or even more impractical. We propose a simple and easily implementable algorithm for detection and isolation of the multiple crosstalk-faults in OSM. Specifically. we develop an algorithm for isolation of the source fault in switching elements whenever the multiple crosstalk-faults arc detected in OSM. The proposed algorithm is illustrated by an example of 16$\times$16 OSM.

Design of a Fuzzy Model Based Reduced Order Unknown Input Observer for a Class of Nonlinear Systems (비선형계를 위한 퍼지모델 기반 감소차수 미지입력관측자 설계)

  • Lee, Kee-Sang
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.7
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    • pp.1247-1253
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    • 2008
  • A design method of a T-S fuzzy model based reduced order nonlinear unknown input observer(NUIO) is presented. The fuzzy NUIO is designed based on the parallel distributed compensation(PDC) concept. It consists of a number of the linear UIOs, each of which is designed for each local linear model in the T-S fuzzy model of a class of nonlinear systems. The fuzzy NUIO provides not only the state estimates insensitive to the unknown inputs, for example, disturbances and faults etc., but also the estimates of the unknown inputs. Therefore, It can be employed in the state feedback control and disturbance rejection control of a class of nonlinear systems with unknown disturbances. It also applied to the robust residual generation for the fault detection and isolation systems and to the design of fault tolerant control systems. As an example, the NUIO is applied to an inverted pendulum system to show the state and disturbance estimation performance and to illustrate the fuzzy reduced order NUIO design method.

Detection and Isolation Method for Operator Failure by Unknown Input Observer

  • Kim, Hwan-Seong;Kim, Seung-Min
    • Journal of Navigation and Port Research
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    • v.32 no.2
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    • pp.133-140
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    • 2008
  • In this paper, a fault detection method for operator failures using the observation technique is proposed. The suggested algorithm is extended using the conventional sensor/actuator fault detection method. First, it is assumed that operator failure affects human work operations, as it is an external input signal. With this assumption, a human work model with operator failure is suggested. Second, an unknown input observer with proportional and integral gains is introduced. The characteristic of this observer of estimating an external signal without an exact input is shown, and the conditions for the detection of an operator failure are proposed. Finally, by simulating the container crane operations, it is verified that the observer can accurately detect an operator failure and estimate its magnitude from the given internal signal.

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.

Performance Improvement of MOS type FDIS using Fuzzy Logic (퍼지논리를 이용한 다중관측자 구조 FDIS의 성능개선)

  • Ryu, Ji-Su;Park, Tae-Geon;Lee, Kee-Sang
    • Proceedings of the KIEE Conference
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    • 1998.07b
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    • pp.410-413
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    • 1998
  • A passive approach for enhancing fault detection and isolation performance of multiple observer based fault detection isolation schemes(FDIS) is proposed. The FDIS has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises of a rule base and fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic and threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rule base. The suggested scheme is applied for the FDIS design for a DC motor driven centrifugal pump system.

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Third Order Sliding Mode Observer based Robust Fault Diagnosis for Robot Manipulators (3 계 슬라이딩 모드 관측기 기반 로봇 고장 진단)

  • Van, Mien;Kang, Hee-Jun;Suh, Young-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.7
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    • pp.669-672
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    • 2012
  • This paper investigates an algorithm for robust fault diagnosis in robot manipulators. The TOSM (Third Order Sliding Mode observer) provides both theoretically exact observation and unknown fault identification without filtration. The EOI (Equivalent Output Injections) of the TOSM observers can be used as residuals for the problem of fault diagnosis and to identify the unknown faults. The obtained fault information can be used for fault detection, isolation as well as fault accommodation to the self-correcting failure system. The computer simulation results for a PUMA 560 robot are shown to verify the effectiveness of the proposed strategy.

Improvement and Application Effect in Fault Restoration Program based on Distribution Automation System of KEPCO (한전의 배전자동화 기반 배전선로 고장처리 프로그램 개선 및 적용 효과)

  • Park, So-Young;Shin, Chang-Hoon;Ha, Bok-Nam;Lee, Seong-Woo;Park, Min-Ho
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2009.10a
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    • pp.267-271
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    • 2009
  • This paper presents the improvement and application effect in fault restoration program based on distribution automation system(DAS) of KEPCO. When a fault occurs, fault restoration program can detect fault section based on FI information of DAS, and calculate the best restoration solution by comparing the load capacity of outage area and the spare load capacity of connected distribution lines, and propose switch operating procedure for fault section isolation and outage restoration. Fault restoration program was applied to real field and it was verified that this program is applicable to diverse field cases. By using this fault restoration program to the field human error can be reduced and fault procedure can be more reliable, accurate, and fast.

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Fault Tolerant Controller Design for Linear Stochastic Systems with Uncertainties (불확실성을 갖는 선형 확률적 시스템에 대한 고장허용제어기 설계)

  • Lee, Jong-Hyo;Yoo, Jun
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.2
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    • pp.107-116
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    • 2003
  • This paper presents a systematic design methodology for fault tolerant controller against a fault in actuators and sensors of linear stochastic systems with uncertainties. The scheme is based on fault detection and diagnosis(isolation and estimation) using a bank of robust two-stage Kalman filters, and accommodation of the actuator fault by eigenstructure assignment and immediate compensation of the sensor's faulty measurement. In order to clarify the fault feature in test statistics of residual, noise reduction method is given by multi-scale discrete wavelet transform. The effectiveness of our approach Is shown via simulations for a VTOL(vertical take-off and landing) aircraft subjected to parameter variations, external disturbances, process and sensor noises.

Detection and Diagnosis Solutions for Fault-Tolerant VSI

  • Cordeiro, Armando;Palma, Joao C.P.;Maia, Jose;Resende, Maia J.
    • Journal of Power Electronics
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    • v.14 no.6
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    • pp.1272-1280
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    • 2014
  • This paper presents solutions for fault detection and diagnosis of two-level, three phase voltage-source inverter (VSI) topologies with IGBT devices. The proposed solutions combine redundant standby VSI structures and contactors (or relays) to improve the fault-tolerant capabilities of power electronics in applications with safety requirements. The suitable combination of these elements gives the inverter the ability to maintain energy processing in the occurrence of several failure modes, including short-circuit in IGBT devices, thus extending its reliability and availability. A survey of previously developed fault-tolerant VSI structures and several aspects of failure modes, detection and isolation mechanisms within VSI is first discussed. Hardware solutions for the protection of power semiconductors with fault detection and diagnosis mechanisms are then proposed to provide conditions to isolate and replace damaged power devices (or branches) in real time. Experimental results from a prototype are included to validate the proposed solutions.

A Process Fault Detection Filter Design by Fault Vector Modelling Approach and an Application (고장벡터 모델링에 위한 프로세스 고장 검출필터의 설계 및 응용)

  • 이기상;배상욱
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.36 no.6
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    • pp.430-436
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    • 1987
  • A Detection filter that can be used for the Detection and Isolation of process faults is proposed by the use of fault vector modelling, and is applied to DC Motor fault detection. The proposed detection filter is a new one in a view point that its outputs are the estimates of fault variables(or linear combination of them) while all the existing filters estimate the state of process. By this properties, the process fault detection systems with this filter can be constructed in very simple structure. Besides the simplicity of structure and design procedure, the filter has an useful feature that various types of fault can be estimated via the filter by choosing appropriate fault models.

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