• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.194-194
• /
• 2000

In aviation navigation by GPS, requirements on availability and integrity must be absolutely satisfied for safety. Current study on accomplishing this integrity includes RAM(Receiver Autonomous Integrity Monitoring), checking integrity internally in GPS receiver itself. However RAIM techniques have be investigated and presented under assumption that there is included only one fault in measurements from GPS, In case of multiple fault, an interaction among bias errors sometimes results in decreasing the effect of multiple fault. This may make an exact fault detection and identification difficult, and study on mutiple fault RAIM focused on. This paper explains the reasons that techniques applied on single fault are not adequate to extend directly to two faults case and shows that RAIM solution on two fault may be given in revised parity space.

• Advances in robotics research
• /
• 제2권1호
• /
• pp.99-112
• /
• 2018

The main contribution of this work is the design of a field programmable gate array (FPGA) based ARX-Laguerre proportional-integral observation (PIO) system for fault detection and identification (FDI) in a multi-input, multi-output (MIMO) nonlinear uncertain dynamical robot manipulators. An ARX-Laguerre method was used in this study to dynamic modeling the robot manipulator in the presence of uncertainty and disturbance. To address the challenges of robustness, fault detection, isolation, and estimation the proposed FPGA-based PI observer was applied to the ARX-Laguerre robot model. The effectiveness and accuracy of FPGA based ARX-Laguerre PIO was tested by first three degrees of the freedom PUMA robot manipulator, yielding 6.3%, 10.73%, and 4.23%, average performance improvement for three types of faults (e.g., actuator fault, sensor faults, and composite fault), respectively.

• 전자공학회논문지C
• /
• 제36C권10호
• /
• pp.29-38
• /
• 1999

본 논문은 조합 논리회로에서의 시험 불가능한 결함(untestable faults)을 확인하는 새로운 알고리즘 RICP(Redundancy Identification using Critical-pair Paths)를 제시한다. 조합 논리회로에서의 시험 불가능 결합은 회로의 과잉(redundancy)에 의해서 발생한다. 회로의 과잉은 팬 아웃 스템(fanout stem)과 재결집 게이트(reconvergent gate)의 영역을 분석함으로서 찾을 수 있다. 시험 불가능한 결함들은 임계 경로의 확장된 개념인 임계-쌍 경로를 이용하여 스템 영역을 분석함으로써 확인되어진다. RICP 알고리즘이 FIRE(Fault Independent REdundancy identification) 알고리즘보다 효율적이라는 것을 보여준다. ISCAS85 벤치마크 테스트 회로에 대한 두 알고리즘의 실험 결과를 비교하였다

• 한국통신학회논문지
• /
• 제22권6호
• /
• pp.1311-1322
• /
• 1997

Performance management of ATM network is urgently required because a different quality of service should be guaranteed on each connection. A lot of performance measurement data increase the burden on agent systems and on managment stations. In this paper, an effective OAM-based performance monitoring and faulty node identification technique is proposed. A proposed VP Selection Algorithm reduces management-related traffic and when the indication of hard or soft failure state is detected, failed node is identified by Fault Identification Rule.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2004년도 하계학술대회 논문집 A
• /
• pp.257-259
• /
• 2004

This paper proposes the identification method for the faulted feeder, where it identify whether the faulted feeder is the DG-connected feeder or the neighboring feeder (but sharing the same bus of the substation). In general, DG has to be disconnected from the grid when the fault occurs on the interconnected distribution feeder as soon as possible. However, the faults occured on the neghboring feeder would mistakenly cause the disconnection of the DG. For reliable operation of DG, DG should be sustained at the fault occurred on neighboring distribution feeders. The proposed identification method utilizes the impedance monitored from the DG and examines the coordination of overcurrent relay of the distribution system. This paper describes how the proposed method to identify the faulted feeder and how the method can be utilized.

• Smart Structures and Systems
• /
• 제19권2호
• /
• pp.195-202
• /
• 2017

The aim of this paper is to develop a novel method to determine the severity of a damage in a thin plate. This paper presents a novel fault detection and diagnosis approach employing a new electromagnetic acoustic transducer, called EMAT, together with a complex signal processing method. The method consists in the recognition of a fault that exists within the structure, the fault location, i.e. the identification of the geometric position of damage, and the determining the significance of the damage, which indicates the importance or severity of the defect. The main scientific novelties presented in this paper is: to develop of a new type of electromagnetic acoustic transducer; to incorporate wavelet transforms for signal representation enhancements; to investigate multi-parametric analysis for noise identification and defect classification; to study attenuation curves properties for defect localization improvement; flaw sizing and location algorithm development.

• 한국터널지하공간학회 논문집
• /
• 제14권6호
• /
• pp.667-681
• /
• 2012

일반적으로 리스크 관리는 리스크 확인, 리스크 분석, 리스크 평가, 리스크 대책, 리스크 재평가를 포함하는 일련의 과정으로 구성된다. 본 논문에서는 쉴드 TBM 터널에서 발생 가능한 리스크 요인들을 여러 문헌 자료와 워크샵을 바탕으로 조사하였다. 리스크 요인들은 지질 요인, 설계 요인, 시공 관리 요인으로 구분되었다. Fault Tree도는 리스크들을 커터, 기계 구속, 배토(굴진), 세그먼트과 관련된 4그룹으로 분류하여 작성되었다. FT도로부터 12가지 리스크 아이템을 확인하고 각각의 발생확률을 구하였다.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2008년도 하계학술발표대회 논문집
• /
• pp.282-287
• /
• 2008

Identification of steady-state is the first step in developing a fault detection and diagnosis (FDD) system. In a complete FDD system, the steady-state detector will be included as a module in a self-learning algorithm which enables the working system's reference model to "tune" itself to its particular installation. In this study, a steady-state detector of a residential air conditioner based on moving windows was designed. Seven representing measurements were selected as key features for steady-state detection. The optimized moving window size and the feature thresholds was suggested through startup transient test and no-fault steady-state test. Performance of the steady-state detector was verified during indoor load change test. From the research, the general methodology to design a moving window steady-state detector was provided for vapor compression applications.

• 전기학회논문지P
• /
• 제65권1호
• /
• pp.47-52
• /
• 2016

Fault location identification in the transmission line is an essential part of quick service restoration for maintaining a stable in power system. The application of digital schemes to protection IEDs has led to the development of digital fault locators. Normally, the impedance measurement had been used to for the location detection of transmission line faults. It is well known that the most accurate fault location scheme uses two-ended measurements. This paper deals with the complete design of a fault locator using GPS time-synchronized phasor for transmission line fault detection. The fault location algorithm uses the transmitted relaying signals from the two-ended terminal. The fault locator hardware consists of a Main Processor Unit, Analog Digital Processor Unit, Signal Interface Unit, and Power module. In this paper, sample real-time test cases using COMTRADE format of Omicron apparatus are included. We can see that the implemented fault locator identified all the test faults.

• 지구물리와물리탐사
• /
• 제25권2호
• /
• pp.59-70
• /
• 2022

최근의 연구들을 통해 기계학습은 탄성파 해석 분야에 그 적용 범위를 확장하고 있으며, 탄성파 해석에서 중요한 탄성파 층서 구분을 수행하는 합성곱 신경망들의 개발도 수행되었다. 하지만 지도 학습의 경우 대량의 학습 자료가 필요하며, 비용과 시간의 한계로 탄성파 층서구분의 지도학습은 학습 자료의 부족이 문제가 될 수 있다. 이번 연구에서는 자료 부족 문제를 보완하기위해 탄성파 단면에 패치 분할과 자료증강을 적용하였다. 또한 패치 분할로 손실될 수 있는 공간정보를 제공하기 위해 깊이를 고려할 수 있는 인공 채널을 생성하여 추가하였다. 실험을 위한 학습 모델로 U-Net을 사용하였으며, 층서 구분을 위한 학습 자료가 제공되는 F3 block 자료를 이용하여 학습과 예측 결과에 대한 평가를 수행하였다. 분석 결과 자료증강과 인공 채널의 추가로 패치 기반의 층서 구분 학습 모델을 개선할 수 있음을 확인하였다.