• Journal of IKEEE
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• v.23 no.1
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• pp.266-272
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• 2019

Multicopters have become more popular since they are advantageous in their ability to take off and land vertically. In order to guarantee the normal operations of such multicopters, the problem of fault detection and isolation is very important. In this paper, a new method for detecting and isolating an actuator fault of a hexacopter is proposed based on the analytical approach. The residual is newly defined using the angular velocities of actuators estimated by the mathematical model and an actuator fault is detected comparing the residuals to a threshold. And a fault is isolated combining a dynamic model and generated residuals when a fault is detected. The proposed method is a simple, but effective technique because it is based on mathematical model. The results of the computer simulation are also given to demonstrate the validity of the proposed algorithm in case of a single failure.

• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.168-170
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• 2007

본 논문에서는 신뢰성을 기반으로 하여 유지보수 비용과 리스크 양쪽을 고려해야 하는 장비의 최적한 유지보수를 정하는 방법을 나타내고 있다. 이러한 방법으로 장비의 고장 과정을 바탕으로 하는 확률론적 모델을 제시한다. 최적점검주기는 유지보수 비용과 고장으로부터 받은 피해비용의 총 비용을 최소화시킬 때 정해진다. 여기서는 신뢰성을 정량적으로 평가하기 위해 기기가 고장에 도달하는 경과를 나타내는 고장 모델을 작성하여 고장에 의해 발생하는 피해액을 산출하여 시스템 전체에서의 보전비용과 고장에 의한 피해액과의 총 코스트가 최소가 되는 보전주기를 최적한 보전주기로 한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2203_2104
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• 2009

아크는 전원의 양단에 큰 전류가 흐를 때 공기의 이온화와 발열로 인하여 생성된 플리즈마로 정의될 수 있다. 최근 경제발전과 IT산업 발달로 큰 전력계통에서 안정적인 전력 공급이 중요하므로 이러한 아크가 발생하면 부하의 정전사태를 방지하기 위해 일시고장인지 영구 고장인지 빠르게 판단하여 재폐로를 수행하여야 한다. 이를 위해 아크에 대한 특성을 살펴보는 것은 반드시 필요한 사항이므로 본 논문에서는 아크가 발생하는 고장지점에 따른 아크의 특성 변화를 EMTP로 모델링 하여 살펴보고자 하였다. 일반적으로 아크는 특성상 매우 복잡한 구조를 가지며 여러 주위 조건들에 따라 그 특성이 변화한다. 아크의 발생 원인이 되는 사고는 크게 일시고장과 영구고장으로 나눌 수 있는데 여기서 모델링한 것은 스위칭 작용에 의한 2차아크가 발생하는 일시고장의 경우라고 가정하였다. 그리고 아크를 모델링함에 있어서 아크의 특성과 유사한 ZnO 아크 모델을 이용하여 송전선로의 한 상에 연결시켜 연구를 수행하였다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.40 no.12
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• pp.63-71
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• 2003

IDDQ testing is indispensable in improving Duality and reliability of CMOS VLSI circuits. But the major problem of IDDQ testing is slow testing speed due to time-consuming IDDQ current measurement. So one requirement is to reduce the number of target faults or to make the test sets compact in fault model. In this paper, we consider equivalent fault collapsing for transistor short faults, a fault model often used in IDDQ testing and propose an efficient algorithm for reducing the number of faults that need to be considered by equivalent fault collapsing. Experimental results for ISCAS benchmark circuits show the effectiveness of the proposed method.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.2
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• pp.94-102
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• 2000

This paper presents a new FDI scheme based on dynamic fuzzy model(DFM) for the unknown nonlinear system, which can detect and isolate process faults continuously over all ranges of operating condition. The dynamic behavior of a nonlinear process is represented by a set of local linear models. The parameters of the DFM are identified by an on-line methods. The residual vector of the FDI system is consisted of the parameter deviations from nominal model and the set of grade of membership values indicating the operating condition of the nonlinear process. The detection and isolation of faults are performed via a neural network classifier that are learned the relationship between the residual vector and fault type. We apply the proposed FDI scheme to the FDI system design for a two-tank system and show the usefulness of the proposed scheme.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.11a
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• pp.599-602
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• 2011

A propulsion controller for one-time flight vehicles should be designed robustly so that it can complete its missions even in case sensor failures. These vehicles improve their fault tolerance by back-up sensors prepared for the failure of major sensors, which raises the total cost. This paper presents the NARX model which substitutes vehicles' velocity sensors, and detects failure of sensor signals by using model based fault detection. The designed NARX model and fault detection algorithm were optimized and installed in TI's TMS320F2812 so that they were linked to HILS instruments in real-time. The designed propulsion controller made the vehicle to have better fault tolerance with fewer sensors and to complete its missions under a lot of complicated failure situations. The controller's applicability was finally confirmed by tests under the HILS environment.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.10
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• pp.931-940
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• 2017

This paper describes a predictive fault diagnosis algorithm for autonomous vehicles based on a kinematic model that uses a sliding mode observer. To ensure the safety of autonomous vehicles, reliable information about the environment and vehicle dynamic states is required. A predictive algorithm that can interactively diagnose longitudinal environment and vehicle acceleration information is proposed in this paper to evaluate the reliability of sensors. To design the diagnosis algorithm, a longitudinal kinematic model is used based on a sliding mode observer. The reliability of the fault diagnosis algorithm can be ensured because the sliding mode observer utilized can reconstruct the relative acceleration despite faulty signals in the longitudinal environment information. Actual data based performance evaluations are conducted with various fault conditions for a reasonable performance evaluation of the predictive fault diagnosis algorithm presented in this paper. The evaluation results show that the proposed diagnosis algorithm can reasonably diagnose the faults in the longitudinal environment and acceleration information for all fault conditions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.77-83
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• 2016

International standards for systems safety have been established in various areas of industry. Such standards recommend that safety design activities be carried out early on in the beginning of systems development. Hazard analysis should be done in close interaction with the conceptual design of the system. This paper focuses on how to verify whether the safety goals are met while considering system design issues. The architecture of the underlying system was first modeled using SysML, a systems modeling language, and then hazard analysis was performed based on architectural information to obtain a system failure model. Thereafter, an integrated model was developed by combining the SysML failure model and the architectural model, and then safety designs were added to prevent system failure. Finally, a simulation of the developed model was performed to see if a system functions even when some components are failing.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.10A
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• pp.1205-1214
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• 2004

For tile physical defects occurring in CMOS circuits which are not handled well by voltage-based testing, current testing is remarkable testing technique. Fault models based on defects must accurately describe the behaviour of the circuit containing the defect. In this paper, An efficient collapsing algorithm for fault models often used in current testing is proposed. Experimental results for ISCAS benchmark circuits show the effectiveness of the proposed method in reducing the number of faults that have to be considered by fault collapsing and its usefulness in various current based testing models.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.3
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• pp.67-73
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• 2006

In this paper, a reconfigurable model following flight control method is proposed based on direct adaptive scheme using parameter estimation. Adaptive control scheme updates the control gains to make the system output follow the reference output even when fault occurs. By adopting the frequency domain parameter estimation method, system changes by the fault can be estimated. Recursive Fourier transformation is used for system identification. Using recursive Fourier transform, the proposed adaptive control algorithm guarantees the system stability and improves the system characteristics. To evaluate the performance of proposed control method, numerical simulations are performed.