• Title/Summary/Keyword: Sensor faults

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Optimal residual generation using parity space approach for a position servo system (패리티 공간기법을 이용한 위치 서보계의 최적 잔차 발생)

  • 최경영;박태건;이기상
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1440-1443
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    • 1997
  • The optimal residual generator based on parity relation approach for the fault detection and isolation of a arge diesel engine actuator position servo system is presented. The closed-loop residual generator is designed to have robustness against modeling errors and noise. Main purpose of the fault detection and isolation system in the process is to detect and isolate two important faults, i.e., actuatro fault and fault of speed sensor, that, if not detected and compensated, degrade the overall control system performance. Simulation results are give to show the practical applicability of the fault detecrtion and isloation scherme.

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Development of Fuzzy Hybrid Redundancy for Sensor Fault-Tolerant of X-By-Wire System (X-By-Wire 시스템의 센서 결함 허용을 위한 Fuzzy Hybrid Redundancy 개발)

  • Kim, Man-Ho;Son, Byeong-Jeom;Lee, Kyung-Chang;Lee, Suk
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.3
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    • pp.337-345
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    • 2009
  • The dependence of numerous systems on electronic devices is causing rapidly increasing concern over fault tolerance because of safety issues of safety critical system. As an example, a vehicle with electronics-controlled system such as x-by-wire systems, which are replacing rigid mechanical components with dynamically configurable electronic elements, should be fault¬tolerant because a devastating failure could arise without warning. Fault-tolerant systems have been studied in detail, mainly in the field of aeronautics. As an alternative to solve these problems, this paper presents the fuzzy hybrid redundancy system that can remove most erroneous faults with fuzzy fault detection algorithm. In addition, several numerical simulation results are given where the fuzzy hybrid redundancy outperforms with general voting method.

Winding Fault Diagnosis for BLDC Motor using MCSA (MCSA를 이용한 BLDC 전동기의 고정자 권선 고장 진단)

  • Lee, Dae-Seong;Yang, Chul-Oh;Kim, Jun-Young;Kim, Dae-Hong;Moon, Yong-Seon;Park, Kyu-Nam;Song, Myung-Hyun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1876-1877
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    • 2011
  • In this paper, a winding fault diagnosis method base on MCSA(Motor Current Signature Analysis) for BLDC motor is proposed. This method is programmed by LabVIEW for winding fault diagnosis. For winding fault diagnosis, two types of winding fault(shorted turn at one pole, shorted turn at two pole in same phase) are put intentionally in on phase. The motor current is collected by hole sensor, and transformed by the Park's transform, and then the Park's Vector Pattern are obtained, Usually this pattern is formed an ellipse, so a proper threshold value of distortion ratio(the ratio of the shortest axis and longest axis of ellipse) is suggested for winding faults diagnosis.

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Fault Diagnosis of a Nonlinear Dynamic System Based on Sliding Mode

  • Yu, Wenxin;Wang, Junnian;Jiang, Dan
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2504-2510
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    • 2018
  • Actuator failures and the failures of controlled objects are often considered together. To overcome this limitation, a class of sliding mode observers for the fault diagnosis of nonlinear systems is designed in this paper. Due to the influence of the sliding mode function, the control strategy and the residual change of the observer exhibit certain trends governed by specific relations. Therefore, according to the changes in the control strategy and the observer residuals, the sensor and actuator faults in nonlinear systems can be determined. Finally, the effectiveness of the proposed method is verified based on simulations of a DC motor system.

Comparative analysis of PRPD method and UHF sensor method for Partial Discharge in air (공기중 부분방전에 대한 PRPD측정법과 UHF센서측정법의 비교분석)

  • Lee, K.W.;Lee, Y.H.;Park, S.H.;Jang, D.U.;Kang, S.H.;Lim, K.J.
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2002.07b
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    • pp.882-885
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    • 2002
  • Assessing the condition of air insulation by measuring electromagnetic wave generated in it by partial discharges gives warning of developing faults and breakdown which may give some bad effects to other thing concerned with it. Electromagnetic wave are taken from UHF antenna with 20k ~ 2GHz frequency range. The signal waveform and FFT(Fast Fourier Transform) results from UHF antenna for PD(partial discharge) generated from two different electrode(needle-plane, needle-needle) configurations are shown and it is processed by using PRPD($\Phi-q-n$ distribution) method. Cumulative pulse sequence during 100 period is compared with PRPD method. This also will show the possibility of making apparent distinction between two PD sources.

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Failure Forecasting Technology of Electronic Control System Using Automobile Input/Output Signal Detection (자동차의 입출력 신호 검출을 통한 전자제어 시스템의 고장예측기술)

  • Lee, J.S.;Son, I.M.
    • Journal of Power System Engineering
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    • v.13 no.1
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    • pp.59-64
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    • 2009
  • Electronic control system of the engine is composed of various sensors and actuators, This paper is concerned with fault analysis for the stable operation of it. We suggest the technology that can systematically and reliably analyze fault causes of sensors and actuators by using the fault generating program. In results, we can acquire the systematic road map of occurring faults as well as the valuable information related to the operations of sensors and actuators. These results should be very useful to get the classification of fault causes, develop an electronic control system of engine, and review control strategies of it.

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Recognition of Plasma- Induced X-Ray Photoelectron Spectroscopy Fault Pattern Using Wavelet and Neural Network (웨이블렛과 신경망을 이용한 플라즈마-유도 X-Ray Photoelectron Spectroscopy 고장 패턴의 인식)

  • Kim, Soo-Youn;Kim, Byung-Whan
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.135-137
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    • 2006
  • To improve device yield and throughput, faults in plasma processing equipment should be quickly and accurately diagnosed. Despite many useful information of ex-situ sensor measurements, their applications to recognize plasma faultshave not been investigated. In this study, a new technique to identify fault causes by recognizing X-ray photoelectron spectroscopy (XPS) using neural network and continuous wavelet transformation (CWT). The presented technique was evaluated with the plasma etch data. A totalof 17 experiments were conducted for model construction. Model performance was investigated from the perspectives of training error, testing error, and recognition accuracy with respect to various thresholds. CWT-based BPNN models demonstrated a higher prediction accuracy of about 26%. Their advantages over pure XPS-based models were conspicuous in all three measures at small networks.

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A Study on Real time Multiple Fault Diagnosis Control Methods (실시간 다중고장진단 제어기법에 관한 연구)

  • 배용환;배태용;이석희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.04b
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    • pp.457-462
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    • 1995
  • This paper describes diagnosis strategy of the Flexible Multiple Fault Diagnosis Module for forecasting faults in system and deciding current machine state form sensor information. Most studydeal with diagnosis control stategy about single fault in a system, this studies deal with multiple fault diagnosis. This strategy is consist of diagnosis control module such as backward tracking expert system shell, various neural network, numerical model to predict machine state and communication module for information exchange and cooperate between each model. This models are used to describe structure, function and behavior of subsystem, complex component and total system. Hierarchical structure is very efficient to represent structural, functional and behavioral knowledge. FT(Fault Tree). ST(Symptom Tree), FCD(Fault Consequence Diagrapy), SGM(State Graph Model) and FFM(Functional Flow Model) are used to represent hierachical structure. In this study, IA(Intelligent Agent) concept is introduced to match FT component and event symbol in diagnosed system and to transfer message between each event process. Proposed diagnosis control module is made of IPC(Inter Process Communication) method under UNIX operating system.

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Control of smart actuators for networked steer-by-wire system (네트워크 기반 Steer-by-wire 시스템을 위한 지능형 엑츄에이터 제어)

  • Lee, Dong-Ik
    • Journal of Sensor Science and Technology
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    • v.15 no.6
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    • pp.425-432
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    • 2006
  • This paper presents a control algorithm for smart actuators that can be used in a 'steer-by-wire' system for next-generation intelligent automobiles. 'Steer-by-wire' is a network-based mechatronic steering system in which mechanical linkages and hydraulics are replaced by electric motors and a digital communication network. The algorithm is designed not only to achieve the capabilities of following the desired steering angles while minimizing the discrepancy between two steering wheels, but also to tolerate an actuator with faults. The proposed algorithm is based on a simple proportional control so that it can be implemented in real-time with a low-cost embedded microcontroller. The effectiveness of the control algorithm is examined using a hardware-in-the-loop simulator consisting of two DC motors and a CAN bus network.

A PARITY SPACE APPROACH TO FAULT DETECTION FOR A POSITION SERVO SYSTEM (패리티 공간기법을 이용한 위치 서보계의 고장검출)

  • Choi, Kyung-Yung;Park, Tae-Geon;Lee, Kee-Sang
    • Proceedings of the KIEE Conference
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    • 1997.07b
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    • pp.746-748
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    • 1997
  • The parity relation approach for the fault detection and isolation (FDI) of a large diesel engine actuator position servo system is presented. Main purpose of the FDI system is to detect and isolate two important faults, actuator fault and sensor fault, that, if not detected and compensated, degrade the overall system performance. Simulation results are given to show the practical applicability of the FDI scheme.

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