• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.336_337
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• 2009

전력용 변압기 운반, 설치, 고장전류 유입 등으로 권선 및 철심의 접지, 권선의 층간단락, 개방, 기계적 변형, 이탈, 구조물의 기계적 손상, 이완 등이 발생해도 현재 보유하고 있는 진단장비만으로는 정확한 이상 판단이 불가하여 변압기 해체 후 확인 하는 현실을 감안하여 변압기 기계적 변형 고장분석이 가능한 장비 도입이 필요한 시점이다. 또한 변압기 등 변전기기 고장 발생시 광범위한 고객 정전 및 복구비용이 발생(년 평균 3건)하고 있어 본 논문에서는 이러한 문제점을 해결하고자 2003년 한전에 도입된 SFRA(Sweep Frequency Response Analyzer) 주파수 반응 분석기의 진단 원리 및 권선변형 진단사례를 소개하고자 한다.

• Journal of the KSME
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• v.30 no.2
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• pp.146-154
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• 1990

수냉형의 Bo kg/$\textrm{mm}^2$1급 TMCP 고장력 강재를 중심으로, 이 강재 모재의 기계적 특성 및 용접부의 각종 사용특성에 관해 종래의 압연제법에 의한 동일강도레벨의 고장력강판과 비교하여 고찰하고 이 강재의 유효이용에 대하여 설명하였다. TMCP 고장력 강판은 탄소당량이 낮고 결 정립 미세화가 달성되기 때문에 파괴인성이나, 용접부의 내외화, 내용접균열성 면에서 탁월한 특 징을 가지나 용접조립시 용접열사이클로 인한 연화현상 때문에 용접부의 사용특성이 문제로 될 수 있다. 그러나 용접조건이나, 강판의 강도, 화학성분의 배려, 선택에 따라 실용상 별로 문제가 되지 않음이 확인하고 있다. 이와 같은 특징으로 인해 TMCP강은 조선용 소재뿐만 아니고, 북해, 북극해와 같은 한냉빙해역의 가혹한 환경에서 작동되는 해양구조물용이나 라인 파이프용 소재 로서도 그 활용이 확대되어 갈 것으로 생각된다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.8
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• pp.743-750
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• 2016

Track rollers are the key parts that support the weight applied to the caterpillar track of construction machinery. The operating conditions of construction machinery are harsh; hence, the track rollers exposed to these conditions can experience failures such as oil leakage and breakdown of the machine, because of impacts during driving. The failure of track-rollers has a major effect on the operation of the construction machinery. Therefore, each manufacturer tries to evaluate the performance of their products by conducting a self-test. However, only the vertical loads applied to the track rollers are considered in most of the self-tests. This method has the problem of ignoring the horizontal loads that are applied to the track rollers while rotary driving, and hence it does not create the practical operating condition of the construction machinery. In this study, we have determined the experimental conditions that effectively consider the magnitudes of the vertical and horizontal loads. The results of simulations and experiments conducted to assess the influence of horizontal loads on the failure of track rollers are presented in this paper.

• Journal of Auto-vehicle Safety Association
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• v.12 no.4
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• pp.13-22
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• 2020

This paper presents an adaptive feedback based actuator fault detection and tolerant control algorithms for longitudinal functional safety of autonomous driving. In order to ensure the functional safety of autonomous vehicles, fault detection and tolerant control algorithms are needed for sensors and actuators used for autonomous driving. In this study, adaptive feedback control algorithm to compute the longitudinal acceleration for autonomous driving has been developed based on relationship function using states. The relationship function has been designed using feedback gains and error states for adaptation rule design. The coefficients in the relationship function have been estimated using recursive least square with multiple forgetting factors. The MIT rule has been adopted to design the adaptation rule for feedback gains online. The stability analysis has been conducted based on Lyapunov direct method. The longitudinal acceleration computed by adaptive control algorithm has been compared to the actual acceleration for fault detection of actuators used for longitudinal autonomous driving.

• Journal of Advanced Navigation Technology
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• v.28 no.1
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• pp.1-14
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• 2024

Global navigation satellite system (GNSS) providing position, navigation and timing (PNT) services consist of satellite, ground, and user systems. Monitoring stations, a key element of the ground segment, play a crucial role in continuously collecting satellite navigation signals for service provision and fault detection. These stations detect anomalies such as threats to the signal-in-space (SIS) of satellites, receiver issues, and local threats. They deliver received data and detection results to the master station. This paper introduces the main monitoring algorithms and measurement pre-processing processes for quality assessment and fault detection of received satellite signals in current satellite navigation system monitoring stations. Furthermore, it proposes a strategy for the development of components, architecture, and algorithms for the new regional navigation satellite system (RNSS) monitoring stations.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.11
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• pp.135-146
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• 1997

This paper describes fault diagnosis method in complex system with hierachical structure similar to human body structure. Complex system is divided into unit, item and component. For diagnosing this hierarchical complex system, it is necessary to implement special neural network. Fault diagnosis system can forecast faults in a system and decide from current machine state signal information. Comparing with other diagnosis system for single fault, the developed system deals with multiple fault diagnosis comprising Hierarchical Neural Network(HNN). HNN consists of four level neural network, first level for item fault symptom classification, second level for item fault diagnosis, third level for component symptom classification, forth level for component fault diagnosis. UNIX IPC(Inter Process Communication) is used for implementing HNN wiht multitasking and message transfer between processes in SUN workstation with X-Windows(Motif). We tested HNN at four units, seven items per unit, seven components per item in a complex system. Each one neural newtork operate as a separate process in HNN. The message queue take charge of information exdhange and cooperation between each neural network.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2069-2070
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• 2008

본 논문은 최근에 25.8kV $SF_6$ 가스절연부하개폐기 (이하 가스개폐기)에서 발생한 고장을 전력연구원에서 분석하여 고장 원인별 현황을 나타내었으며, 주요 고장으로 분류되는 절연 불량, 기계적 손상, 외부 손상 등이 발생하는 원인을 분석하였다. 장기신뢰성 확보를 위해서 가스개폐기의 취약점인 $SF_6$ 가스 순도에 따른 절연파괴 특성 및 금속 파티클의 거동특성에 대해 분석하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.1
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• pp.69-76
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• 2017

In this study, design of a small hybrid rocket is carried out using Failure Mode and Effects Analysis (FMEA) and Criticality Analysis(CA), which is a method for qualitative and semi-quantitative reliability analysis. In order to carry out FMEA, the structure of the hybrid rocket is divided into 31 parts and 72 potential failure modes. As a result of the FMEA, the relationship between potential failure modes, causes and effects, and their severity are evaluated qualitatively. Criticality analysis is followed for the failure modes, in which the criticality number is estimated using the failure rate information available from the handbook. Moreover, the failure modes with higher criticality and severity are chosen for improvement, and a series of design or material changes are made for the improvement of the hybrid rocket reliability.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.6
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• pp.781-787
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• 2010

Forecasting possible failure characteristics is very important in maintenance planning because it helps in predicting any future failures and determining the optimum replacement interval. This paper examines the time.to-failure distribution of the transfer gearbox of a J79 engine by using a probability plotting technique which is one of the most convenient techniques for reliability analysis. Various probability distributions are evaluated for determining the suitable probability distribution of the failure data of the transfer gearbox, and the resulting correlation coefficient indicates that failure data have a lognormal distribution. The expected number of unscheduled maintenance actions and the optimum replacement interval for various values of cost ratios are determined.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.6
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• pp.631-638
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• 2015

In this study, semiquantitative failure mode, effects, and criticality analysis (FMECA) for the reliability analysis of a solid rocket propulsion system is performed. The semiquantitative FMECA is composed of failure mode and effects analysis (FMEA) and criticality analysis (CA). To perform FMECA, the structure of the solid rocket propulsion system is divided into 43 parts down to the component level, and FMEA is conducted at the design stage considering 137 potential failure modes. CA is then conducted for each failure mode, during which the criticality number is estimated using the failure rate databases. The results demonstrate the relationship between potential failure modes, causes, and effects, and their risk priorities are evaluated qualitatively. Additionally, several failure modes with higher criticality and severity values are selected for high-priority improvement.