• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제5권12호
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• pp.447-454
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• 2016

무선 센서 네트워크에서 다중경로 라우팅에 대한 연구는 노드와 링크 실패로 인한 잦은 경로 파손의 문제를 해결하고 데이터 전달 신뢰성을 향상시키기 위해 연구되었다. 다중경로 라우팅에서, 예를 들어 전장에서 군인 및 재난 지역에서 구조자와 같은 이동 싱크는 이동성을 다루기 위한 새로운 도전이 필요하다. 싱크 이동성은 그들의 이동 경로에 따라서 소스 노드에서 이동 싱크까지 새로운 다중경로 구성을 요구한다. 이동 싱크가 지속적인 이동성을 갖기 때문에, 기존 다중경로는 이동 싱크의 새로운 위치로 효율적인 재구성을 위해 이용될 수 있다. 그러나, 이전 프로토콜들은 이러한 문제를 다루지 않는다. 따라서, 우리는 무선 센서 네트워크에서 이동 싱크에 대한 효율적인 다중경로 재구성 프로토콜을 제안한다. 제안된 프로토콜 LGMR은 이동 싱크의 이동 유형에 기초한 세 가지 다중경로 재구성 방법을 다룬다: 단일홉 이동 기반 지역 다중경로 재구성, 다중 홉 이동 기반 지역 다중경로 재구성, 다중 홉 이동 기반 전체 다중경로 재구성, 시뮬레이션 결과는 에너지 소비 및 데이터 전달 딜레이 측면에서 LGMR이 이전 프로토콜 EDM보다 더 나은 성능을 갖는다는 것을 보여준다.

• 한국정밀공학회지
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• 제22권1호
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• pp.53-60
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• 2005

The wire rope of container crane is a important component to container transfer system and is used in a myriad of various applications such as elevator, mine hoist, construction machinery, and so on. If it happen wire rope failures in operating, it may lead to the safety accident and economic loss, which is productivity decline, competitive decline of container terminal, etc. To solve this problem, we developed the active and portable wire rope fault detecting system. The developed system consists of three parts that are the fault detecting, signal processing, and remote monitoring part. All detected signal has external noise or disturbance according to circumstances. Therefore we applied to discrete wavelet transform to extract a signal from noisy data that was used filter. As experimental result, we can reduce the expense for container terminal because of extension of exchange period of wire rope for container crane and this system is possible to apply in several fields to use wire rope.

• 한국소음진동공학회논문집
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• 제27권2호
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• pp.213-220
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• 2017

Pyroshock produced by the pyrotechnic devices can induce failures in nearby electronic devices. To handle and mitigate pyroshock inducing problems, appropriate measurement of pyroshock is essential. In this study, pyroshock measurement technique is established using laser Dopper vibrometers (LDVs) and shock accelerometers. Pyroshock produced by the explosive bolts and the pyrotechnic initiators under various environments is measured. The characteristics of pyroshock including the effects of supporting structures, propagation form on thin plate, sensor (contact and non-contact) types are discussed.

• 오토저널
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• 제14권5호
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• pp.69-82
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• 1992

Vibration of intake menifold is important as it could worsen the noise levels radiated from surface itself and support bracket, and it eventually leads to the failures of a Throttle Position Sensor and an Idle Air Control Valve. In this study, structural modification method is proposed to reduce structural vibration of an intake manifold system. At first, vibration problems are identified through tests on a running engine. Then modal data acquired by modal testing and finite element analysis are helpful to understand vibration mechanism of the system, and used as the design guide when structural modifications are attempted. After the system model is validated by comparison of the modal data obtained from analysis and experiment, iterative calculations are performed to find optimized structure of the system by finite element analysis. As a result, a newly designed plenum bracket is suggested in such a way that the intake manifold is stiffened, and that design of the support bracket is suggested in such a way that the intake manifold is stiffened, and that design of the support bracket is changed in terms of bolting position, thickness, shape, and minimum weight increase. Finally, it is shown that a new design achieves a significant reduction of vibration of an intake manifold system and it is confirmed by tests on a running engine.

• 한국정밀공학회지
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• 제32권3호
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• pp.307-314
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• 2015

In this paper, the embedding type novel liquid metal strain gauge was developed for measuring the deformation of wind turbine blades. In general, the conventional methods for the SHM have many disadvantages such as frequency distortion in FBG sensors, the low gauge factor and mechanical failures in strain gauges and extremely sophisticated filtering in AE sensors. However, the liquid metal filled in a pre-confined micro channel shows dramatic characteristics such as high sensitivity, flexibility and robustnes! s to environment. To adopt such a high feasibility of the liquid metal in flexible sensor applications, the EGaIn was introduced to make flexible liquid metal strain gauges for the SHM. A micro channeled flexible film fabricated by the several MEMS processes and the PDMS replication was filled with EGaIn and wire-connected. Lots of experiments were conducted to investigate the performance of the developed strain gauges and verify the feasibility to the actual wind turbine blades health monitoring.

• 대한기계학회논문집A
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• 제35권8호
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• pp.965-970
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• 2011

본 연구를 통하여 개발하고자 하는 진단시스템은 자동차 엔진 어셈블리라인에서 발생될 수 있는 특정 조립 불량유형을 검사하는 시스템이다. 대상으로 하는 불량 유형은 엔진 고장의 유형 중 커다란 충격성신호가 발생한 후, 보상적인 작은 충격파가 주기적으로 발생되는 형태이다. 이러한 불량유형을 기존의 시간영역분석 진단, 주파수분석, 통계적분석등에 의해 진단할 경우 한계점이 존재한다. 이에 웨이블릿 잡음 제거 전처리 방법, 피크검지 알고리즘, 불순도 최소값 선택 분할 방법을 이용한 새로운 유형의 이상진단 방법을 개발하는 연구를 진행하였다.

• 산업경영시스템학회지
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• 제37권4호
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• pp.12-23
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• 2014

The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and more efforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previous studies have focused on the development of advanced maintenance system to avoid unexpected failures. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to gather the status data of equipment and send health monitoring data to administrator of an offshore plant in a real time way, which leads to having much concern on the condition based maintenance policy. In this study, we have reviewed previous studies associated with CBM (Condition-Based Maintenance) of offshore plants, and introduced an algorithm predicting the next failure time of the compressor which is one of essential mechanical devices in LNG FPSO (Liquefied Natural Gas Floating Production Storage and Offloading vessel). To develop the algorithm, continuous time Markov model is applied based on gathered vibration data.

• 한국구조물진단유지관리공학회 논문집
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• 제14권5호
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• pp.72-78
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• 2010

CFRP보강공법은 구조물에 내하력을 증가시키기 위해 사용되고 있으며 실제 교량에 적용빈도가 높고 연구 활용성에 대한 기대가 큰 공법이다. CFRP로 보강된 콘크리트 구조물은 외부에 에폭시 등으로 접착된 CFRP로 인하여 휨파괴 및 전단파괴 외에 부착파괴가 추가적으로 발생하게 되며 이러한 부착파괴가 전체거동을 지배하게 되는 경우가 대부분이며, 취성파괴를 유발하게 된다. 따라서 이러한 CFRP 부착파괴에 대한 모니터링은 매우 중요한 의미를 갖는다. 본 논문에서는 국부적인 손상 파악에 유리한 PZT센서를 이용한 임피던스 기반 손상검색 방법을 사용하여 콘크리트 균열과 CFRP 부착파괴 모니터링에 대한 적용가능성을 검증해 보았다.

• Tribology and Lubricants
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• 제36권6호
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• pp.297-306
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• 2020

This paper reviews studies on the types and functions of oil sensors used for machine condition monitoring. Machine condition monitoring is essential for maintaining the reliability of machines and can help avoid catastrophic failures while ensuring the safety and longevity of operation. Machine condition monitoring involves several components, such as compliance monitoring, structural monitoring, thermography, non-destructive testing, and noise and vibration monitoring. Real-time monitoring with oil analysis is also utilized in various industries, such as manufacturing, aerospace, and power plants. The three main methods of oil analysis are off-line, in-line, and on-line techniques. The on-line method is the most popular among these three because it reduces human error during oil sampling, prevents incipient machine failure, reduces the total maintenance cost, and does not need complicated setup or skilled analysts. This method has two advantages over the other two monitoring methods. First, fault conditions can be noticed at the early stages via detection of wear particles using wear particle sensors; therefore, it provides early warning in the failure process. Second, it is convenient and effective for diagnosing data regardless of the measurement time. Real-time condition monitoring with oil analysis uses various oil sensors to diagnose the machine and oil statuses; further, integrated oil sensors can be used to measure several properties simultaneously.

• 한국기계가공학회지
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• 제20권3호
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• pp.1-7
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• 2021

With the advent of industry 4.0, big data and machine learning techniques are being widely adopted in the maintenance domain. Inverters are widely used in many engineering applications. However, overloading and complex operation conditions may lead to various failures in inverters. In this study, failure mode effect analysis was performed on inverters and voltages collected to investigate the over-voltage effect on capacitors. Several features were extracted from the collected sensor data, which indicated the health state of the inverter. Based on this correlation, the best features were selected for classification. Moreover, random forest classifiers were used to classify the healthy and faulty states of inverters. Different performance metrics were computed, and the classifiers' performance was evaluated in terms of various health features.