• Title/Summary/Keyword: Fault detection method

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A Novel Fault Detection Method using the PWM Characteristic at Open-Circuit Fault in NPC Inverter Systems (NPC 인버터 시스템에서 개방성 고장시 PWM 특성을 이용한 새로운 고장 검출 방법)

  • Lee, Jung-Dae;Kim, Tae-Jin;Ha, Dong-Hyun;Hyun, Dong-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.7
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    • pp.1200-1207
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    • 2008
  • In this paper, a novel fault detection method is proposed when the neutral-point-clamped inverter has a open-circuit fault in the switching device. This proposed method is configured with simple circuit and is achieved by a simple algorithm using the inherent characteristic of the continuous Pulse Width Modulation. Also, this method has the fast fault detection ability and is much simpler to embody, in comparison with conventional fault detection methods. This ability to detect fault minimizes harmful effect which are such as DC-link voltage unbalance and overstress to other switching devices. Therefore, this proposed fault detection method can improve reliability of NPC inverter system. Experimental results are presented to verify the validity of proposed fault detection method.

Application of robust fault detection for DC motor considering system uncertainty (불확실성을 고려한 DC Motor의 견실한 이상검출)

  • 김대우;유호준;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.856-859
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    • 1997
  • In this paper we treat the application of fault detection method in DC motor having both model mismatch and noise problems. A fault detection method presented by Kwon et al. (1994) for SISO systems has been here experimented. The model mismatch includes here linearization error as well as undermodelling. Comparisons are made with the real plant, DC motor. The experimental result of robust fault detection method is shown to have good performance via with the alternative fault detection method which do not account noise.

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Application of robust fault detection method for uncertain systms to diesel engine system (불확실성을 고려한 디젤엔진의 견실한 이상검출)

  • 유경상;김대우;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1419-1422
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    • 1997
  • This paper deals with the Appliation of robust fault detection problem in uncertain linear systems, having both model mismatch and noise. A robust fault detection method presented by Kwon et al.(1994) for SISO uncertain systems. Here we experimented this method to the diesel engine systems described by difference ARMA models. The model mismatch includes here linearization error as well as undermodeling. Comparisons are made with alternative fault detection method which do not account noise. The new method is shown to have good performance.

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A Sensor Fault Detection for Boiler-Turbine Control System (보일러-터빈 제어시스템의 측정기 고장검출)

  • Yoo, Seog Hwan
    • Journal of Applied Reliability
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    • v.14 no.1
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    • pp.37-43
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    • 2014
  • This paper deals with a design of observer based fault detection filter for a boiler-turbine control system. The goal is to present a method for rapid sensor fault detection in order to enhance the reliability of boiler-turbine operation in the thermal power plant. Our fault detection filter can be designed via solutions of linear matrix inequalities. In order to demonstrate the efficacy of our design method, numerical simulations are provided.

Hybrid fault detection and isolation for uncertainty system (불확실성을 고려한 시스템에서의 복합형 이상검출 및 격리)

  • 유호준;김대우;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1432-1435
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    • 1997
  • This paper proposes a fault detection and isolation metho by combining the parameter estimation method[4] with the observer method[2] to use merits of both methods. To verify the performance of the method proposed some simulations applied to remotely piloted vehicle are performed.

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Fault Symptom Analysis and Diagnosis for a Single-Effect Absorption Chiller (흡수식 냉동시스템의 고장현상 분석과 진단)

  • Han, Dongwon;Chang, Young-Soo;Kim, Yongchan
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.27 no.11
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    • pp.587-595
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    • 2015
  • In this study, fault symptoms were simulated and analyzed for a single-effect absorption chiller. The fault patterns of fault detection parameters were tabulated using the fault symptom simulation results. Fault detection and diagnosis by a process history-based method were performed for the in-situ experiment of a single-effect absorption chiller. Simulated fault modes for the in-situ experimental study are the decreases in cooling water and chilled water mass flow rates. Five no-fault reference models for fault detection of a single-effect absorption chiller were developed using fault-free steady-state data. A sensitivity analysis of fault detection using the normalized distance method was carried out with respect to fault progress. When mass flow rates of the cooling and chilled water decrease by more than 19.3% and 17.8%, respectively, the fault can be detected using the normalized distance method, and COP reductions are 6.8% and 4.7%, respectively, compared with normal operation performance. The pattern recognition method for fault diagnosis of a single-effect absorption chiller was found to indicate each failure mode accurately.

Fault Tolerant Control of Sensor Fault of EPB System (EPB 시스템의 센서 고장 허용 제어 기법)

  • Lee, Won-Goo;Lee, Young-Ok;Jang, Min-Seok;Lee, Choong-Woo;Chung, Chung-Choo;Chung, Han-Byul
    • Transactions of the Korean Society of Automotive Engineers
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    • v.18 no.4
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    • pp.8-17
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    • 2010
  • In this paper, a fault tolerant control against sensor faults of electric parking brake (EPB) is proposed. Fault tolerant control method of EPB system is strongly demanded since sensor faults can endanger a driver's safety. In this paper, a clamp force estimation method is presented using motor's armature current and angular velocity. Clamp force estimation method is applied for fault detection method with parity equations. The goal of the detection method is to detect and identify faults in encoder, current sensor, force sensor, and parking cable. And a switching logic for fault tolerant control against the three sensor faults is suggested. Experimental results show that the proposed force estimation method satisfies the specifications of EPB system. The effectiveness of the fault detection method is validated with experimental results. Although a single sensor fault happens, EPB system with the proposed fault detection method does not develop into a failure on subsystem or system level.

Model-based Fault Diagnosis Applied to Vibration Data (진동데이터 적용 모델기반 이상진단)

  • Yang, Ji-Hyuk;Kwon, Oh-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.12
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    • pp.1090-1095
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    • 2012
  • In this paper, we propose a model-based fault diagnosis method applied to vibration data. The fault detection is performed by comparing estimated parameters with normal parameters and deciding if the observed changes can be explained satisfactorily in terms of noise or undermodelling. The key feature of this method is that it accounts for the effects of noise and model mismatch. And we aslo design a classifier for the fault isolation by applying the multiclass SVM (Support Vector Machine) to the estimated parameters. The proposed fault detection and isolation methods are applied to an engine vibration data to show a good performance. The proposed fault detection method is compared with a signal-based fault detection method through a performance analysis.

A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis

  • Lee, Won-Hee;Park, Chan-Gook
    • International Journal of Aeronautical and Space Sciences
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    • v.13 no.3
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    • pp.398-404
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    • 2012
  • A fault detection process is necessary for high integrity systems like satellites, missiles and aircrafts. Especially, the satellite has to be expected to detect faults autonomously because it cannot be fixed by an expert in the space. Faults can cause critical errors to the entire system and the satellite does not have sufficient computation power to operate a large scale fault management system. Thus, a fault detection method, which has less computational burden, is required. In this paper, we proposed a modified PCA (Principal Component Analysis) as a powerful fault detection method of redundant IMU (Inertial Measurement Unit). The proposed method combines PCA with the parity space approach and it is much more efficient than the others. The proposed fault detection algorithm, modified PCA, is shown to outperform fault detection through a simulation example.

Two-Faults Detection and Isolation Using Extended Parity Space Approach

  • Lee, Won-Hee;Kim, Kwang-Hoon;Park, Chan-Gook;Lee, Jang-Gyu
    • Journal of Electrical Engineering and Technology
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    • v.7 no.3
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    • pp.411-419
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    • 2012
  • This paper proposes a new FDI(Fault Detection and Isolation) method, which is called EPSA(Extended Parity Space Approach). This method is particularly suitable for fault detection and isolation of the system with one faulty sensor or two faulty sensors. In the system with two faulty sensors, the fault detection and isolation probability may be decreased when two faults are occurred between the sensors related to the large fault direction angle. Nonetheless, the previously suggested FDI methods to treat the two-faults problem do not consider the effect of the large fault direction angle. In order to solve this problem, this paper analyzes the effect of the large fault direction angle and proposes how to increase the fault detection and isolation probability. For the increase the detection probability, this paper additionally considers the fault type that is not detected because of the cancellation of the fault biases by the large fault direction angle. Also for the increase the isolation probability, this paper suggests the additional isolation procedure in case of two-faults. EPSA helps that the user can know the exact fault situation. The proposed FDI method is verified through Monte Carlo simulation.