• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.1
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• pp.37-43
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• 2015

Structural health monitoring (SHM) techniques based on the use of active-sensing piezoelectric (PZT) materials have received considerable attention. The validation of the PZT functionality during SHM operation is critical to successfully implementing a reliable SHM system. In this study, we investigated several parameters that affect the admittance-based sensor diagnostic process. We experimentally identified the temperature dependency of the active-sensor diagnostic process. We found that the admittance-based sensor diagnostic process can differentiate the adhesion conditions of bonding materials that are used to install a PZT on a structure, which is important when designing a sensor diagnostic process for an SHM system.

• The Journal of the Acoustical Society of Korea
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• v.39 no.4
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• pp.263-269
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• 2020

In this study, a rotating machine that can reproduce normal condition and 8 fault conditions were produced, and vibration data was acquired. Feature is calculated from the acquired data, and accuracy is analyzed through fault diagnosis using artificial neural networks and genetic algorithms. In order to achieve optimal timing and higher accuracy, features by three domains were applied to the fault diagnosis. The learning number was selected as a setting variable. As a result of the rotating machine fault diagnosis, high precision was found in the frequency domain than in others, and precise fault diagnoses were accomplished through all of 10 operations, at the learning number of 5000 and 8000. Given the efficiency of time, it was estimated to be the most efficient when the number of learning was 5000.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.9
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• pp.1005-1012
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• 2014

Gears are critical elements in automobiles, and their use as power transmitting machine elements in engineering applications is quite extensive. In the areas of contact between gear teeth, the condition of a gear is likely to deteriorate due to contact fatigue, wear, material defects, lubrication failure, etc. Thus, it is necessary to monitor its condition to ensure smooth power transmission. Gear teeth deterioration causes failures such as abrasive wear, scuffing, pitting, and spalling. These failures lead to a higher level of vibration signals in the gear system. This paper presents the results of an experiment on the surface fatigue wear of a spur gear system. The correlation between the estimated specific film thickness, statistical parameter of the vibration signals, and Stribeck curve was considered in this study.

• Journal of Aerospace System Engineering
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• v.13 no.2
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• pp.26-33
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• 2019

Control moment gyro (CMG) employed as satellite actuators, generates a large torque through the steering of its gimbals. Although each gimbal holds a high-speed rotating wheel, the wheel imbalances induces disturbance and degrades the satellite control quality. Therefore, the disturbances ought to be detected and identified as a precaution against actuator faults. Among the method used in detecting disturbances is the state observers. In this paper, we apply a continuous second order sliding mode observer to detect single disturbances/faults in CMGs. Verification of the algorithm is also done on the hardware satellite simulator where four CMGs are installed.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.9
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• pp.835-842
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• 2016

In Korea, urban railway cars are typically maintained using the strategy of predictive maintenance. In an effort to overcome the limitations of the existing strategy, there is increased interest in adopting the condition-based maintenance strategy. In this study, a novel method is proposed to detect faults in the solenoid valves of the braking system in urban railway vehicles. We determined the key component (i.e., solenoid valve) that leads to braking system faults through the analysis of failure modes, effects, and criticality. Then, an equivalent circuit model was developed with the compensation of the temperature effect on solenoid coils. Finally, we presented how to detect faults with the equivalent circuit model and current signal measurements. To demonstrate the performance of the proposed method, we conducted a case study using real solenoid valves taken from urban railway vehicles. In summary, it was shown that the proposed method can be effective to detect faults in solenoid valves. We anticipate the outcome from this study can help secure the safety and reliability of urban railway vehicles.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.4
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• pp.200-206
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• 2022

This study is to develop database by an experimental method for the development of condition based maintenance for auxiliary equipment in marine engine systems. Existing ships have been performing regular maintenance, so the actual measurement data development is very incomplete. Therefore, it is best to develop a database on land tests. In this paper, a database developed by an experimental method is presented. First, failure case analysis and reliability analysis were performed to select a failure mode. For the failure simulation test, a test bed for land testing was developed. The failure simulation test was performed based on the failure simulation scenario in which the failure simulation test plan was defined. A 1.5TB failure simulation database has been developed, and it is expected to serve as a basis for ship failure diagnosis and prediction algorithm model development.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.768-772
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• 1994

공작기계의 주축은 최근 고속화,고정밀화 및 고강성화되어가는 경향이 커지고 있다. 이러한 경향에 따라서 주축의] 설계는 매우 중요하며, 주축용 베어링은 앵귤러 콘택트 볼베어링이 많이 사용되고 있다. 공작기계의 주축은 고속 회전에 따른 고강성의 필요성이 증대하게 되고, 고상성을 얻기 위하여 축 방향의 일정한 예압을 주게된다. 이 예압량은 결국 축 방향의 하중이므로 주축용 베어링의 수명을 변화 시키게 된다. 따라서 축 방향 하중의 변화에 따른 베어링의 수명 특성을 파악하여야 하며, 적절한 베어링 수명의 판단을 통해 기계의 보수 및 관리에 관한 재경비를 절감할 수 있다. 그러므로 본 연구에서는 실험을 통해 베어링의 특성 주파수를 이끌어 내고 주파수 스펙트럼 분석을 이용하여 베어링의 상태를 진단하 는 기본겆인 데이터를 얻는다.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.7
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• pp.98-105
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• 2000

In this study, we developed rotating machine vibration condition monitoring system based upon Windows NT and DSP Board. Developed system includes signal analysis module, trend monitoring and simple diagnosis using threshold value. Trend analysis and report generation are offered with database management tool which was developed in MS-ACCESS environment. Post-processor, based upon Matlab, is developed for vibration signal analysis and fault detection using statistical pattern recognition scheme based upon Bayes discrimination rule and neural networks. Concerning to Bayes discrimination rule, the developed system contains the linear discrimination rule with common covariance matrices and the quadratic discrimination rule under different covariance matrices. Also the system contains k-nearest neighbor method to directly estimate a posterior probability of each class. The result of case studies with the data acquired from Pyung-tak LNG pump and experimental setup show that the system developed in this research is very effective and useful.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.10a
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• pp.544-547
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• 2009

Standardization in the fields of mechanical vibration and shock and the effects of vibration and shock on humans, machines, vehicles (air, sea, land and rail) and stationary structures, and of the condition monitoring of machines and structures, using multidisciplinary approaches.

• 한우개량
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• no.5 s.26
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• pp.10-15
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• 2000

초음파를 이용하여 가축의 생체 상태에서 도체형질을 추정하기 위한 연구가 50년대부터 시작되었다. 초기에는 초음파 반사파를 진폭으로 표시하는 방식인 A-mode(Amplitude-mode)를 이용하여 가축의 등지방두께 및 등심두께를 측정하였으며, 60년대부터 반사파의 강약을 명암으로 나타내는 B-mode (Brightness-mode) 방식으로 두께 및 면적을 측정하였다. 일본에서는 70년대 후반부터 등심 내 지방교잡을 조사하기 위한 연구가 활발하게 진행되었으나 미국, 유럽 등에서는 최근에서야 비로소 marbling 추정을 위한 연구가 시도되고 있다. 우리나라에서는 90년대 초부터 한우의 경쟁력을 높이기 위하여 육질향상에 중점을 두고 종모우의 조기 선발과 적정한 출하시기 판정에 초음파를 적용시키기 위한 연구가 여러 연구기관 및 학계에서 시도되었으나 인체에서 임신진단용으로 이용되거나 외국의 육우에 사용하던 기종을 한우에 적용시킴으로서 육질능력을 판정하는데 기계의 정확도가 많이 떨어지고 있는 실정이다.