• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.1167-1169
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• 2009

Multipath routing in wireless sensor networks has been proven to provide with increased data delivery ratio, security, robustness to node and link failures, network throughput, etc. However, the energy cost for multiple routes construction and their maintenance is very high. This paper proposes a sink-initiated, node-disjoint multipath routing protocol for static wireless sensor networks that significantly minimizes the route construction messages and thereby saves the critical batter energy of sensor nodes. It also distributes the traffic load spatially over many nodes in the forwarding paths, which ensures balanced energy consumption in the network and thereby increases the network lifetime. The simulation results show that it decreases the routing overhead as well as the standard deviation of nodes' residual energies.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2331-2334
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• 2003

The basic difference between the EKF(Extended Kalman Filter) and UKF(Unscented Kalman Filter) stems from the manner in which Gaussian random variables(GRV) are represented for propagating through system dynamics. In the EKF, the state distribution is approximated by a GRV, which is then propagated analytically through the first-order linearization of the nonlinear system. This can possibly introduce large errors in the true posterior mean and covariance of the transformed GRV, which may lead to sub-optimal performance and sometimes divergence of the filter. However, the UKF addresses this problem by using a deterministic sampling approach. The state distribution is also approximated by a GRV, but is now represented using a minimal set of carefully chosen sample points. These sample points completely capture the true mean and covariance of the GRV, and UKF captures the posterior mean and covariance accurately up to the 2nd order(Taylor series expansion) for any nonlinearity. This paper utilizes the UKF to determine spacecraft orbit when only magnetometer is available. Several catastrophic failures of spacecraft in orbit have been attributed to failures of the spacecraft mission. Recently studies on contingency-major sensor failure cases- have been performed. For mission success, contingency design or plan should be implemented in case of a major sensor failure. Therefore the algorithm presented in this paper can be used for a spacecraft without GPS or contingency design in case of GPS failure.

• Advances in aircraft and spacecraft science
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• 제4권1호
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• pp.53-64
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• 2017

Aerospace Launch Vehicles (ALV) are generally designed with high reliability to operate in complete security through fault avoidance practices. However, in spite of such precaution, fault occurring is inevitable. Hence, there is a requirement for on-board fault recovery without significant degradation in the ALV performance. The present study develops an advanced fault recovery strategy to improve the reliability of an Aerospace Launch Vehicle (ALV) navigation system. The proposed strategy contains fault detection features and can reconfigure the system against common faults in the ALV navigation system. For this purpose, fault recovery system is constructed to detect and reconfigure normal navigation faults based on the sliding mode observer (SMO) theory. In the face of pitch channel sensor failure, the original gyro faults are reconstructed using SMO theory and by correcting the faulty measurement, the pitch-rate gyroscope output is constructed to provide fault tolerant navigation solution. The novel aspect of the paper is employing SMO as an online tuning of analytical fault recovery solution against unforeseen variations due to its hardware/software property. In this regard, a nonlinear model of the ALV is simulated using specific navigation failures and the results verified the feasibility of the proposed system. Simulation results and sensitivity analysis show that the proposed techniques can produce more effective estimation results than those of the previous techniques, against sensor failures.

• Nuclear Engineering and Technology
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• 제55권3호
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• pp.814-826
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• 2023

Sensor faults in nuclear power plant instrumentation have the potential to spread negative effects from wrong signals that can cause an accident misdiagnosis by plant operators. To detect sensor faults and make accurate accident diagnoses, prior studies have developed a supervised learning-based sensor fault detection model and an accident diagnosis model with faulty sensor isolation. Even though the developed neural network models demonstrated satisfactory performance, their diagnosis performance should be reevaluated considering real-time connection. When operating in real-time, the diagnosis model is expected to indiscriminately accept fault data before receiving delayed fault information transferred from the previous fault detection model. The uncertainty of neural networks can also have a significant impact following the sensor fault features. In the present work, a pilot study was conducted to connect two models and observe actual outcomes from a real-time application with an integrated system. While the initial results showed an overall successful diagnosis, some issues were observed. To recover the diagnosis performance degradations, additive logics were applied to minimize the diagnosis failures that were not observed in the previous validations of the separate models. The results of a case study were then analyzed in terms of the real-time diagnosis outputs that plant operators would actually face in an emergency situation.

• 한국통신학회논문지
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• 제38B권11호
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• pp.911-923
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• 2013

무선 센서 네트워크에서 다중경로 라우팅 방안은 종단 간 데이터 전달의 신뢰성을 향상시키기 위한 연구주제 중 하나이다. 최근에는 다중경로의 강건함과 효율성을 위해서 경로의 분리와 관리를 위한 연구가 다수 진행 되었다. 그러나 이전의 연구들은 무선 통신 환경을 고려하지 않은 다중경로의 분리 방법을 이용하고 있다. 게다가, 그들은 불규칙 네트워크 환경에서 노드나 통신 실패로 인해 발생하는 경로 실패를 관리하는 방법이 없거나 추가경로를 생성하는 간단한 방법을 통해 다중경로를 유지한다. 이를 보완하기 위해서, 네트워크 오류지역을 우회 전송하고 경로를 재구성하는 다중경로 유지 방안이 제안되었지만, 중앙 집중적이고 정적인 경로 관리 방법을 이용하기 때문에, 경로 재구성 과정에서 데이터 전달의 중단이나 링크의 단절, 그리고 많은 경로 재구성 비용 등이 요구되는 문제가 있다. 이런 제약과 문제들은 데이터 전달의 신뢰성 저하와 긴급 데이터의 보고 실패로 이뤄질 수 있다. 따라서 본 논문에서는 불규칙적이고 제한적인 무선 센서 네트워크 환경을 고려하여 유연한 분리형 다중경로를 구축하는 방법과 효율적으로 다중경로를 유지할 수 있도록 경로의 우선순위 규칙을 적용한 지역 결정 기반의 다중경로 관리 방법을 제안한다. 그리고 제안 방법의 성능을 평가하기 위해서 시뮬레이션을 수행한다.

• Journal of Electrical Engineering and Technology
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• 제8권2호
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• pp.288-294
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• 2013

The diagnosis of motor failures using an on-line method has been the aim of many researchers and studies. Several spectral analysis techniques have been developed and are used to facilitate on-line diagnosis methods in industry. This paper discusses the first application of a motor flux spectral analysis to the identification of broken rotor bar (BRB) faults in induction motors using a multiple signal classification (MUSIC) technique as an on-line diagnosis method. The proposed method measures the leakage flux in the radial direction using a radial flux sensor which is designed as a search coil and is installed between stator slots. The MUSIC technique, which requires fewer number of data samples and has a higher detection accuracy than the traditional fast Fourier transform (FFT) method, then calculates the motor load condition and extracts any abnormal signals related to motor failures in order to identify BRB faults. Experimental results clearly demonstrate that the proposed method is a promising candidate for an on-line diagnosis method to detect motor failures.

• 한국건설관리학회논문집
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• 제11권6호
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• pp.122-130
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• 2010

우리나라는 국토의 70%가 산지이고, 매년 7월~9월에 태풍과 집중호우가 있어, 사면붕괴가 매우 큰 피해를 끼치고 있다. 사면붕괴로 인한 재해를 예방하기 위하여 우리나라의 정부, 학계, 연구계, 산업계는 유선기반의 사면 모니터링 시스템을 개발하고 설치하는 등 피해 저감을 위한 다양한 노력을 경주하고 있다. 그러나 기존의 유선기반 모니터링 시스템은, 사면거동을 과학적으로 분석하기 시작하였다는 점에서 의의가 있으나, 낙뢰 등으로 인한 시스템 오류 가능성, 시스템 복구 및 관리의 어려움 등 유선시스템으로서의 한계가 노출되고 있다. 이러한 문제점을 해결하고자, 본 연구에서는 USN 기반의 사면붕괴 모니터링 시스템을 제안하였다. 이를 위하여, 우선 사면계측 및 USN 기술동향을 분석하고, 국내 사면붕괴 피해현황 및 사면붕괴 사례를 고찰하였다. 그리고 USN과 사면 모니터링 기술이 접목된 USN 기반 사면붕괴 모니터링의 시나리오를 개발하였다. 마지막으로 개발된 시나리오를 바탕으로 센서의 사양을 설정하고, 시스템 개발방안을 제시하였다. 본 연구의 결과들은 후속연구인 사면붕괴 모니터링 프로토타입 시스템 개발의 기반이 될 것으로 기대되며, 궁극적으로는 USN 기반의 사면붕괴 모니터링 시스템의 개발 및 현장 적용을 통하여 사면재해 예방 및 피해 최소화에 기여할 것으로 기대된다.

• Smart Structures and Systems
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• 제16권2호
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• pp.329-345
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• 2015

As commonly known, sensor errors and faulty signals may potentially lead structures in vibration to catastrophic failures. This paper presents a new approach to deal with sensor errors/faults in vibration control of structures by using the Fault detection and isolation (FDI) technique. To demonstrate the effectiveness of the approach, a space truss structure with semi-active devices such as Magneto-Rheological (MR) damper is used as an example. To address the problem, a Linear Matrix Inequality (LMI) based fixed-order $H_{\infty}$ FDI filter is introduced and designed. Modeling errors are treated as uncertainties in the FDI filter design to verify the robustness of the proposed FDI filter. Furthermore, an innovative Fuzzy Fault Tolerant Controller (FFTC) has been developed for this space truss structure model to preserve the pre-specified performance in the presence of sensor errors or faults. Simulation results have demonstrated that the proposed FDI filter is capable of detecting and isolating sensor errors/faults and actuator faults e.g., accelerometers and MR dampers, and the proposed FFTC can maintain the structural vibration suppression in faulty conditions.

• 전기전자학회논문지
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• 제20권4호
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• pp.449-453
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• 2016

열악한 자연환경에 무작위로 배포되는 무선센서 네트워크(Wireless Sensor Networks : WSNs)의 센서 노드(node)에서의 고장은 필수적으로 발생하며, 무선센서 네트워크의 설계시 고려되어야 할 핵심과제이다. 본 논문에서는 센서노드에서 발생 가능한 고장모델을 분류하였다. 특히 CH(Cluster Head) 노드에 고장이 발생할 경우 고장을 복구 가능한 새로운 코드방식을 제안하고, 고장 복구 알고리즘을 제시하였다. 제안한 코드 방식은 기존 해밍코드대비 정보길이 16비트 이하에서 동등한 크기의 패리티 비트를 가지며, 코드 발생이 아주 간단한 장점을 가진다. 이것은 전력효율을 높이면서 WSN의 안정성을 유지하는 데 매우 중요하다.

• 센서학회지
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• 제32권4호
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• pp.219-222
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• 2023

Partial discharges (PD) have long been recognized as a major contributing factor to catastrophic failures in high-power equipment. As the demand for high voltage direct current (HVDC) facilities continues to rise, the significance of on-line and real-time monitoring of PD becomes increasingly prominent. In this study, we have designed, fabricated, and characterized a highly sensitive and cost-effective PD sensor comprising a pair of copper electrodes with different arc lengths. The key advantage of our sensor is its non-invasive nature, as it can be installed at any location along the entire power cable without requiring structural modifications. In contrast, conventional PD sensors are typically limited to installation at cable terminals or insulation joint boxes, often necessitating invasive alterations. Our PD sensor demonstrates exceptional accuracy in estimating PD location, with a success rate exceeding 95% in the straight sections of the power cable and surpassing 89% in curved sections. These remarkable characteristics indicate its high potential for realtime and on-line detection of PD.