• Journal of IKEEE
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• v.6 no.1 s.10
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• pp.102-110
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• 2002

An effective scheme to detect and diagnose multiple failures in a dynamic system is described for the case where the measurement noise is correlated sequentially in time. It is based on the modified interacting multiple model (MIMM) estimation algorithm in which a generalized decorrelation process is developed by employing the autoregressive (AR) model for the colored noise and applying measurement difference method.

• 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.

• Proceedings of the KIPE Conference
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• 2012.11a
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• pp.123-124
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• 2012

최근, 높은 신뢰성을 갖는 전원공급 시스템의 중요성이 부각되면서 컨버터 내 고장을 빠르게 진단할 수 있는 기능이 필요하게 되었다. 본 논문은 DC-DC 부스트 컨버터 스위치의 개방형 고장 및 단락형 고장 발생 시, 인덕터의 전압을 통해 고장 여부를 검출하는 동시에 고장 종류를 진단할 수 있는 알고리즘을 제안한다.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2245-2247
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• 2004

본 논문에서는 미지의 유계를 가진 불확실성을 포함한 비선형 시스템에 대한 고장 진단 설계를 제안한다. 제안된 고장 진단 필터는 비선형 관측기 설계 기술에 기초하여 설계되며, 신경망을 이용하여 고장 성분과 불확실성 성분을 추정하고 추정된 불확실성의 상한값을 고장 진단에 이용한다. 제안된 근사기는 불확실성과 고장 함수를 추정함으로써 고장 검출뿐만 아니라 고장 진단을 확인할 수 있도록 설계된다. 모의실험을 통해서 제안된 고장 진단 설계의 성능을 검증하였다.

• Journal of the Korean Magnetics Society
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• v.6 no.5
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• pp.287-293
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• 1996

The squirrel cage rotors of induction motors may have several faults such as broken bars, bad spots in end ring and abnormal skew caused by improper processing. These faults may cause bad effects on the performance of the induction motor. This paper proposes the detecting technique of these faults by analyzing the induced current of the detecting electric magnet, using 2-D finite element method taking account of the rotor movement.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.5
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• pp.520-526
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• 2013

As the increasing of capacity and technology of power facilities, rotating machines are getting higher at capacity and voltage scale. Thus the monitoring and diagnosis of generators for fault detection has attracted intensive interest. In this paper, we developed fault diagnosis system for monitoring the fault operations in bad power systems. In order to verify the performance of this fault diagnosis system, we made the small scaled testing system which has the same winding structure of the real synchronous generator. The magnetic flux patterns in air-gap of a small-scale generator under various fault states as well as a normal state are tested by hall sensors and the fault detection system.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.141-147
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• 2011

This paper proposes an efficient two-stage fault prediction algorithm for fault detection and diagnosis of induction motors. In the first phase, we use a linear predictive coding (LPC) method to extract fault patterns. In the second phase, we use a dynamic time warping (DTW) method to match fault patterns. Experiment results using eight vibration data, which were collected from an induction motor of normal fault states with sampling frequency of 8 kHz and sampling time of 2.2 second, showed that our proposed fault prediction algorithm provides about 45% better accuracy than a conventional fault diagnosis algorithm. In addition, we implemented and tested the proposed fault prediction algorithm on a testbed system including TI's TMS320F2812 DSP that we developed.

• 전기의세계
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• v.48 no.4
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• pp.4-8
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• 1999

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.691-697
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• 2006

Induction motors are critical components in industrial process. So there are many research in the condition based maintenance, online monitoring system, and fault detection. This paper presents a scheme on the detection and diagnosis of the three-phase squirrel induction motor under unbalanced voltage, broken rotor bar, and a combination of these two faults. Actually one fault happen in operation, it influence other component in motor or cause another faults. Accordingly it is useful to diagnose and detect a combination fault in induction motor as well as each fault. The proposed fault detection and diagnosis algorithm is based on the stator currents from the squirrel induction motor and simulated with the aid of Matlab Simulink.

• Journal of IKEEE
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• v.25 no.3
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• pp.548-555
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• 2021

This paper outlines the basic concepts, approaches and research trends of fault diagnosis and fault tolerant control applied to industrial processes, facilities, and motor drives. The main role of fault diagnosis for industrial processes is to create effective indicators to determine the defect status of the process and then take appropriate measures against failures or hazadous accidents. The technologies of fault detection and diagnosis have been developed to determine whether a process has a trend or pattern, or whether a particular process variable is functioning normally. Firstly, data-driven based and model-based techniques were described. Secondly, fault detection and diagnosis techniques for industrial processes are described. Thirdly, passive and active fault tolerant control techniques are considered. Finally, major faults occurring in AC motor drives were listed, described their characteristics and fault diagnosis and fault tolerant control techniques are outlined for this purpose.