• Title/Summary/Keyword: 고장 검출

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Sensor Fault Detection for Small Turboshaft Engine Considering Multiple Trim Conditions (다중 트림 상태를 고려한 소형 터보샤프트 엔진의 센서 고장 검출)

  • Seong, Sang-Man;Rhee, Ihn-Seok;Ryu, Hyeok
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.11a
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    • pp.192-195
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    • 2008
  • A sensor fault detection method for small turbo shaft engine considering multiple trim conditions is proposed. This engine is used in a helicopter. Firstly, under multiple trim conditions, we derive the linearized models from a nonlinear model which includes engine, rotor and feedback control loop. As a fault detection method, we adopt the Kalman filter based method. To keep continuity of estimates between the changes of trim conditions, we reconfigure the initial values of state variables at trim changes. We detect the faults with two steps that when the first filter does not alarm the faults for some sensors, the second filter is runned for other sensor. Via some simulations we show that the proposed method works well under multiple trim conditions.

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Fault Detection and Diagnosis for Induction Motors Using Variance, Cross-correlation and Wavelets (웨이블렛 계수의 분산과 상관도를 이용한 유도전동기의 고장 검출 및 진단)

  • Tuan, Do Van;Cho, Sang-Jin;Chong, Ui-Pil
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.19 no.7
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    • pp.726-735
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    • 2009
  • In this paper, we propose an approach to signal model-based fault detection and diagnosis system for induction motors. The current fault detection techniques used in the industry are limit checking techniques, which are simple but cannot predict the types of faults and the initiation of the faults. The system consists of two consecutive processes: fault detection process and fault diagnosis process. In the fault detection process, the system extracts the significant features from sound signals using combination of variance, cross-correlation and wavelet. Consequently, the pattern classification technique is applied to the fault diagnosis process to recognize the system faults based on faulty symptoms. The sounds generated from different kinds of typical motor's faults such as motor unbalance, bearing misalignment and bearing loose are examined. We propose two approaches for fault detection and diagnosis system that are waveletand-variance-based and wavelet-and-crosscorrelation-based approaches. The results of our experiment show more than 95 and 78 percent accuracy for fault classification, respectively.

On-Line Fault Diagnosis System using Neural Network (신경망을 이용한 실시간 고장 진단 시스템)

  • 김문성;유승선;소정훈;곽훈성
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.11C
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    • pp.75-84
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    • 2001
  • In this paper, we propose an on-line FDD(Fault Detection and Diagnosis) system based on the three layer feed-forward neural network which is trained by the back-propagation teaming algorithm. We implement the on-line fault detection and diagnosis system by Visual C++ and Visual Basic. The proposed FDD system is applied to an air handling unit in operation. Experimental results show the high performance of our system in the task of fault detection and diagnosis.

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Computationally Efficient Rotor Fault Detection Algorithm Based on Motor Current Signature Analysis (효율적인 MCSA 기반 회전자 고장 검출 알고리즘)

  • Jeong, Chun-Ho;Song, Myung-Hyun;Kang, Eui-Sung;Kim, Kyung-Min
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2310-2312
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    • 2002
  • 전류 신호에 대한 고속 퓨리에 변환(FFT)은 유도전동기의 고장 검출에 널리 사용되어 왔다. 본 논문에서는 고정자 전류 스펙트럼 중에서 회전자 고장에 의해서 많은 영향을 받는 주파수 성분들로 특징 벡터를 구성하고, 이를 단순한 산술 연산만으로 처리함으로써 회전자 고장을 검출한다. 제안한 방법에서는 고장의 유무를 검출하기 위해서 기준 벡터와 입력 고정자 전류 신호로부터 추출된 특징 벡터 간의 차이 신호만을 이용하기 때문에 신경망에 의한 고장 검출 알고리즘 등에 비해서 훨씬 적은 계산량 만으로도 모터의 고장을 효율적으로 검출할 수 있다.

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Fault Detection and Diagnosis based on Fuzzy Algorithm in the Injection Molding Machine (사출 성형기 Barrel 온도의 실시간 데이터베이스화와 퍼지알고리즘 기반의 고장 검출 및 진단)

  • 배성준;김훈모
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.463-467
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    • 2002
  • In this paper, we construct the fault detection and diagnosis system based on fuzzy algorithm in the injection molding machine. Data of operating injection molding machine are acquired in database in order to raise the reliability of detection and diagnosis.

A Novel Fault Detection Scheme for Voltage Fed PWM Inverter (전압형 PWM 인버터의 새로운 고장 검출 기법)

  • Yu, Ok-Sun;Park, Nam-Ju;Hyun, Dong-Seok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.12 no.1
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    • pp.1-8
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    • 2007
  • This paper presents a new fault detection scheme for voltage fed inverter to improve the reliability of power electronic system, which is of paramount importance in the wide industrial applications. The proposed method is achieved by using voltage across lower switches in each phase under the switch fault condition. The reconfiguration method is achieved by the four-switch topology connecting a faulty leg to the middle point of DC-link using bidirectional switches. The proposed method has a simple algorithm and fast fault detection time. Therefore, normal operation of the system after faults is continuously achieved by reconfiguration of system topology. The superior performance of the proposed fault detection and tolerance method are proved by simulation.

Fault Coverage Metric for Delay Fault Testing (지연 고장 테스팅에 대한 고장 검출율 메트릭)

  • Kim, Myeong-Gyun;Gang, Seong-Ho;Han, Chang-Ho;Min, Hyeong-Bok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.38 no.4
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    • pp.266-276
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    • 2001
  • Due to the rapid development of semiconductor technology, the complexity of VLSI circuits has heavily increased. With the increased densities of integrated circuits, several different types of faults can occur Thus, testing such circuits is becoming a sever problem. Delay testing can detect system timing failures caused by delay faults. However, the conventional delay fault coverage in terms of the number of detected faults may not be an effective measure of delay testing because, unlike a stuck-at-faults, the impact of a delay fault is dependent on its delay defect size rather than on its existence. Thus, the effectiveness of delay testing is dependent on the propagation delay of the path to be tested, the delay defect size, and the system clock interval. This paper proposes a new delay defect fault coverage that considers both propagation delay of the path to be tested and additional delay defect size. And the relationship between delay defect fault coverage and defect level is analyzed.

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Fault Detection of BLDC Motor Drive Based on Operating Characteristic (BLDC 전동기 운전 특성을 이용한 고장 검출 기법 구현)

  • Lee, Jung-Dae;Park, Byoung-Gun;Kim, Tae-Sung;Ryu, Ji-Su;Hyun, Dong-Seok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.13 no.2
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    • pp.88-95
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    • 2008
  • This paper proposes a fast fault detection algorithm under open-circuit fault of a switch for a brushless DC(BLDC) motor drive system. This proposed method is configured without the additional devices for fault detection and identification. The fault detection and identification are achieved by a simple algorithm using the operating characteristic of the BLDC motor. After the fault identification, the drive system is reconfigured for continuous operation. This system is reconfigured by four-switch topology connecting a faulty leg to the middle point of DC-link bidirectional switches. This proposed method can also be embedded into existing BLDC motor drive systems as a subroutine without excessive computational effort. The feasibility of a the proposed fault detection algorithm is validated in simulation and experiment.

A Study on fault Detection and Diagnosis in PLA (PLA에서의 고장검출 및 고장진단에 관한 연구)

  • Lee, Eun-Seol;Kim, Hui-Seok;Park, Jae-Tak
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.18 no.3
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    • pp.15-20
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    • 1981
  • PLA는 fusing에 의하여 programming이 되므로 일반적인 조합논리에서는 존재하지 않는 fusing에 의한 고장이 발생하게 된다. 본 논문에서는 이와 같은 고장의 검출과 고장진단을 위하여 test 입력을 규칙적으로 구하는 방법과 회로가 redundant 상태이거나 irredundant 상태이거나에 관계없이 고장검출이 가능하도록 회로를 구성하는 방법을 제안하였다.

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인공 위성 구동기 모듈의 고장 검출

  • Jin, Jae-Hyeon
    • ICROS
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    • v.17 no.4
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    • pp.42-45
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    • 2011
  • 위성 구동기 고장을 검출하는 문제를 살펴보기 위하여, 최근에 발표된 논문을 분석하였다. 구동기에 발생하는 고장은 그 영향이, 위성의 동역학을 거쳐서 센서의 출력으로 나타나기 때문에, 고장 검출은 기본적으로 상태추정이 수반되어야 한다. 다양한 상태추정기법이 적용될 수 있는데, 가장 많이 사용되는 기법은 Kalman 필터 및 유사 필터들이다. 위성의 고장에 적시에 대응한다면 피해를 최소화할 수 있기 때문에, 자율성 높은 탑재형(on-board)의 고장 진단 및 대응 시스템이 주요 연구목표가 된다.