• Title/Summary/Keyword: Input Faults

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Fault-Tolerant Control of Asynchronous Sequential Machines with Input Faults (고장 입력이 존재하는 비동기 순차 머신을 위한 내고장성 제어)

  • Yang, Jung-Min
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.7
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    • pp.103-109
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    • 2016
  • Corrective control for asynchronous sequential machines is a novel automatic control theory that compensates illegal behavior or adverse effects of faults in the operation of existent asynchronous machines. In this paper, we propose a scheme of diagnosing and tolerating faults occurring to input channels of corrective control systems. The corrective controller can detect faults occurring in the input channel to the controlled machine, whereas those faults happening in the external input channel cannot be detected. The proposed scheme involves an outer operator which, upon receiving the state feedback, diagnoses a fault and sends an appropriate command signal to the controller for tolerating faults in the external input channel.

Design of Nonlinear Unknown Input Observer by SDRE Method and Fault Detection of Reaction Wheels (SDRE 기법을 이용한 비선형 미지입력 관측기 설계와 반작용 휠의 고장 검출)

  • Yoon, Hyungjoo;Jin, Jaehyun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.4
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    • pp.284-290
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    • 2013
  • The authors propose a nonlinear unknown input observer to estimate the angular speed of a satellite and to detect faults of reaction wheels. Input values are necessary to estimate the angular speed. Therefore, estimation errors are inevitable if faults occur in actuators or reaction wheels. Unknown input observers are useful to estimate the states of a system without being affected by unknown faults. The authors have designed a nonlinear unknown input observer by using the SDRE method and verified the proposed observer via numerical simulations. In spite of various and simultaneous faults, we have estimated the states and detected faults exactly by the proposed nonlinear unknown input observer.

A Study on the Motor Fault Diagnosis using a Digital Protective Relay System (디지털보호계전시스템을 활용한 모터고장진단에 관한 연구)

  • Lee, Sung-Hwan;Kim, Bo-Yeon;Yi, Dong-Young;Jang, Nak-Won
    • Proceedings of the KIEE Conference
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    • 2006.10d
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    • pp.34-36
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    • 2006
  • In this paper, we will treat the diagnosis problem to accurately determine fault types. The judgement of fault types is accomplished by observing the cluster newly formed with faults and clustering the input current waveforms to intrinsically show the conditions with the dignet that is a clustering algorithm. The types of input current waveforms are, however, constrained during normal operation, though it considers the load character. In case of faults. new clusters are generated outside the clusters. which appear during normal operation, because the input current waveforms of the induction motor are generated by the type which is not observed in case of faults. The diagnosis about the types of faults is essential to building a fault tree about the induction motor, and it removes the causes of the faults using a fuzzy logic. We, first, constitute a fault tree, which connects with the parts and the entire system of the induction motor, and investigate fault modes which can be generated from the fault tree and the relationship of the cause and the effect of each part (of the motor). Also, we distinguish the faults of each part by means of inducing the said of fuzzy relation equations encapsulating the relationship of the fault modes and each part.

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Case Study of Derivation of Input-Parameters for Ground-Structure Stability on Foliation-Parallel Faults in Folded Metamorphic Rocks (단층 발달 습곡지반 상 구조물 안정성을 위한 설계정수 도출 사례 연구)

  • Ihm, Myeong Hyeok
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.2
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    • pp.467-472
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    • 2020
  • Methods for deriving design input-parameters to ensure the stability of a structure on a common ground are generally well known. Folded metamorphic rocks, such as the study area, are highly foliated and have small faults parallel to the foliation, resulting in special research methods and tests to derive design input parameters, Etc. are required. The metamorphic rock ground with foliation development of several mm intervals has a direct shear test on the foliation surface, the strike/dip mapping of the foliation, the boring investigation to determine the continuity of the foliation, and the rock mass rating of the metamorphic rock. etc. are required. In the case of a large number of small foliation-parallel faults developed along a specific foliation plane, it is essential to analyze the lineament, surface geologic mapping for fault tracing, and direct shear test. Folded ground requires additional geological-structural-domain analysis, discontinuity analysis of stereonet, electrical resistivity exploration along the fold axis, and so on.

A Testable PLA's Design for Multiple Faults (다중 고장 테스트가 가능한 PLA의 설계)

  • Lee, Jae-Min;Kim, Eun-Sung;Lim, In-Chil
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.5
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    • pp.666-673
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    • 1986
  • This paper proposes a testable design method of PLA's with low overhead and high fault coverage for multiple faults. Only a shift register and control input of 2-bit decoder are used for extra hardware. By using a control input, the bit lines are controlled effectively. As the fault model, bridging faults and multiple faults of different fault models are particularly considered. 'Fault equivalence relation' and 'dominant faults' are defined to be used for detection of multiple faults. Also, an eadily testable folded PLA by this method is described.

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ANN Based System for the Detection of Winding Insulation Condition and Bearing Wear in Single Phase Induction Motor

  • Ballal, M.S.;Suryawanshi, H.M.;Mishra, Mahesh K.
    • Journal of Electrical Engineering and Technology
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    • v.2 no.4
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    • pp.485-493
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    • 2007
  • This paper deals with the problem of detection of induction motor incipient faults. Artificial Neural Network (ANN) approach is applied to detect two types of incipient faults (1). Interturn insulation and (2) Bearing wear faults in single-phase induction motor. The experimental data for five measurable parameters (motor intake current, rotor speed, winding temperature, bearing temperature and the noise) is generated in the laboratory on specially designed single-phase induction motor. Initially, the performance is tested with two inputs i.e. motor intake current and rotor speed, later the remaining three input parameters (winding temperature, bearing temperature and the noise) were added sequentially. Depending upon input parameters, the four ANN based fault detectors are developed. The training and testing results of these detectors are illustrated. It is found that the fault detection accuracy is improved with the addition of input parameters.

Improvement of the Protection Algorithm Based on Voltage Difference Method for Detecting Arcing Faults within 22.9kV Shunt Capacitor Banks (22.9kV급 병렬 커패시터 뱅크 내부의 아크 고장 판별을 위한 전압차동 보호 알고리즘의 개선 방안)

  • Lim Jung-Uk;Kwon Young-Jin;Kang Sang-Hee;Yuk Yoo-Kyoung
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.2
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    • pp.61-66
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    • 2005
  • This paper presents a refined protection algorithm of the unfused 22.9kV shunt capacitor banks in grounded wye connection to improve the existing algorithm using the voltage difference method. It is difficult to detect ground faults with arc near the input points or ground faults near the grounding point by the existing algorithm using only the voltage balanced relay. This paper shows that ground faults with arc near the input point can be detected by harmonics analysis of the differential voltage and that it has no impact of harmonics out of nonlinear loads which have the quantitative influence on capacitor banks. Thus the proposed method using harmonics analysis can be a proper detection method. In case of ground faults near the grounding point, an OVGR is being added recently and its validity is verified in this paper. The proposed method is applied to a 22.9kV example system and is verified that the proposed algorithm can detect clearly faults which are not easy to detect by the existing method.

Detection of Stuck-Open Faults in BiCMOS Circuits using Gate Level Transition Faults (게이트 레벨 천이고장을 이용한 BiCMOS 회로의 Stuck-Open 고장 검출)

  • 신재흥;임인칠
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.32A no.12
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    • pp.198-208
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    • 1995
  • BiCMOS circuit consist of CMOS part which constructs logic function, and bipolar part which drives output load. Test to detect stuck-open faults in BiCMOS circuit is important, since these faults do sequential behavior and are represented as transition faults. In this paper, proposes a method for efficiently detecting transistor stuck-open faults in BiCMOS circuit by transforming them into slow-to=rise transition and slow-to-fall transition. In proposed method, BiCMOS circuit is transformed into equivalent gate-level circuit by dividing it into pull-up part which make output 1, and pull-down part which make output 0. Stuck-open faults in transistor are modelled as transition fault in input line of gate level circuit which is transformed from given circuit. Faults are detceted by using pull-up part gate level circuit when expected value is '01', or using pull-down part gate level circuit when expected value is '10'. By this method, transistor stuck-open faults in BiCMOS circuit are easily detected using conventional gate level test generation algorithm for transition fault.

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Fault Detection in an Automatic Central Air-Handling Unit (자동 공조설비의 고장 검출 기술)

  • Lee, Won-Yong;Shin, Dong-Ryul
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.4
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    • pp.410-418
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    • 1999
  • This paper describes the use of residual and parameter identification methods for fault detection in an air handling unit. Faults can be detected by comparing expected condition with the measured faulty data using residuals. Faults can also be detected by examining unmeasurable parameter changes in a model of a controlled system using a system identification technique. In this study, AutoRegressive Moving Average with seXtrnal input(ARMAX) and AutoRegressive with eXternal input(ARX) models with both single-input/single-input and multi-input/single-input structures are examined. Model parameters are determined using the Kalman filter recursive identification method. Regression equations are calculated from normal experimental data and are used to compute expected operating variables. These approaches are tested using experimental data from a laboratory's variable-air-volume air-handling-unit.

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Incorporating Performance Degradation in Fault Tolerant Control System Design with Multiple Actuator Failures

  • Zhang, Youmin;Jiang, Jin;Theilliol, Didier
    • International Journal of Control, Automation, and Systems
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    • v.6 no.3
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    • pp.327-338
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    • 2008
  • A fault tolerant control system design technique has been proposed and analyzed for managing performance degradation in the presence of multiple faults in actuators. The method is based on a control structure with a model reference reconfigurable control design in an inner loop and command input adjustment in an outer loop. The reduced dynamic performance requirements in the presence of different actuator faults are accounted for through different performance reduced (degraded) reference models. The degraded steady-state performances are governed by the reduced levels of command input. The reconfigurable controller is designed on-line automatically in an explicit model reference control framework so that the dynamics of the closed-loop system follow that of the performance reduced reference model under each fault condition. The reduced command input level is determined to prevent potential actuator saturation. The proposed method has been evaluated and analyzed using an aircraft example against actuator faults subject to constraints on the magnitude and slew-rate of actuators.