• 박물관보존과학
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• 제10권
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• pp.75-88
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• 2009

금속유물 강화제로 널리 사용 중인 아크릴계 수지 Paraloid^TM B-72(EMA copolymer)의 수명예측을 위한 연구이다. 수명인자로서는 온도를 고려하였으며, 수명예측을 위한 test parameter로써 색도를 선택하였다. 그 결과, 같은 농도의 도막에서 온도에 대한 노화가 주요 요인이라는 것을 알았다. 즉 환경온도 24℃에서 24시간일 때 수명은 12.0년, 20℃에서 24시간일 때 수명은 17.1년, 16℃에서 24시간일 때 수명은 24.5년으로 예측되었다. 이 실험을 평가는 Arrhenius 관계식을 이용하여 예측하였다.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.918-927
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• 2018

Based on the actual operating environment of transformer, the aging tests of nitrile butadiene rubber (NBR) were conducted systematically under four conditions: in air, in transform oil, under compression in air and under compression in transform oil to studythe effect of high temperature, transform oil and compression stress simultaneously on the thermal aging behaviors of nitrile butadiene rubber and predict the lifetime. The effects of liquid media and compression stress simultaneously on the thermal aging behaviors of nitrile butadiene rubber were studied by using characterization methods such as IR spectrosc-opy, thermogravimetric measurements, Differential Scanning Calorimetry (DSC) measurements and mechanical property measurements. The changes in physical properties during the aging process were analyzed and compared. Different aging conditions yielded materials with different properties. Aging at $70^{\circ}C$ under compression stress in oil, the change in elongation at break was lower than that aging in oil, but larger than that aging under compression in air. The compression set or elongation at break as evaluation indexes, 50% as critical value, the lifetime of NBR at $25^{\circ}C$ was predicted and compared. When aging under compression in oil, the prediction lifetime was lower than in air and under compression in air, and in oil. It was clear that when predicting the service lifetime of NBR in oil sealing application, compression and media liquid should be involved simultaneously. Under compression in oil, compression set as the evaluation index, the prediction lifetime of NBR was shorter than that of elongation at break as the evaluation index. For the life prediction of NBR, we should take into account of the performance trends of NBR under actual operating conditions to select the appropriate evaluation index.

• 한국기계가공학회지
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• 제21권2호
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• pp.46-53
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• 2022

This paper presents the design and manufacture of a Solid State Relay (SSR) life prediction device that can predict the lifetime of an SSR, which is a key component of a glass forming machine. The lifetime of an SSR is over when the current supplied to the relay is overcurrent (20 A or higher), and the operating time is 100,000 h or longer. Therefore, the life prediction device for the SSR was designed using DSP to accurately read the current and temperature values from the current and temperature sensors, respectively. The characteristic test of the manufactured non-contact relay life prediction device confirmed that the current and temperature were safely measured. Thus, the SSR lifetime prediction device developed in this study can be used to predict the lifetime of an SSR attached to a glass forming machine.

• Animal Bioscience
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• 제37권4호
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• pp.622-630
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• 2024

Objective: Pig breeders cannot obtain phenotypic information at the time of selection for sow lifetime productivity (SLP). They would benefit from obtaining genetic information of candidate sows. Genomic data interpreted using deep learning (DL) techniques could contribute to the genetic improvement of SLP to maximize farm profitability because DL models capture nonlinear genetic effects such as dominance and epistasis more efficiently than conventional genomic prediction methods based on linear models. This study aimed to investigate the usefulness of DL for the genomic prediction of two SLP-related traits; lifetime number of litters (LNL) and lifetime pig production (LPP). Methods: Two bivariate DL models, convolutional neural network (CNN) and local convolutional neural network (LCNN), were compared with conventional bivariate linear models (i.e., genomic best linear unbiased prediction, Bayesian ridge regression, Bayes A, and Bayes B). Phenotype and pedigree data were collected from 40,011 sows that had husbandry records. Among these, 3,652 pigs were genotyped using the PorcineSNP60K BeadChip. Results: The best predictive correlation for LNL was obtained with CNN (0.28), followed by LCNN (0.26) and conventional linear models (approximately 0.21). For LPP, the best predictive correlation was also obtained with CNN (0.29), followed by LCNN (0.27) and conventional linear models (approximately 0.25). A similar trend was observed with the mean squared error of prediction for the SLP traits. Conclusion: This study provides an example of a CNN that can outperform against the linear model-based genomic prediction approaches when the nonlinear interaction components are important because LNL and LPP exhibited strong epistatic interaction components. Additionally, our results suggest that applying bivariate DL models could also contribute to the prediction accuracy by utilizing the genetic correlation between LNL and LPP.

• 대한기계학회논문집A
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• 제33권8호
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• pp.739-744
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• 2009

Rail-pad is an important and readily replaceable component of a railway track, as it is the elastic layer between the rail and the sleeper. Characteristics and useful lifetime prediction of rail-pad was very important in design procedure to assure the safety and reliability. In this paper, the degradation of rail pad properties as a function of their in-service life is studied with a view of developing a technique for predicting the optimum period of track maintenance with regard to pad replacement. In order to investigate the useful lifetime, the accelerate test were carried out. Accelerated test results changes as the threshold are used for assessment of the useful life and time to threshold value were plotted against reciprocal of absolute temperature to give the Arrhenius plot. By using the acceleration test, several useful lifetime prediction for rail-pads were proposed.

• 한국통신학회논문지
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• 제39A권10호
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• pp.616-618
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• 2014

본 논문에서는 RF SAW 듀플렉서에 대하여 가속수명시험을 설계하고 수명예측방법에 대하여 제시하였다. 가속수명시험설계 시 가속스트레스는 RF 입력전력으로 정하고 삽입손실이 0.5[dB] 증가하는 기간을 듀플렉서의 수명으로 정의하였다. 듀플렉서의 수명예측결과는 $85^{\circ}C$ 주위온도와 30[dBm] RF입력전력에서 약 82,900시간으로 추정되었다.

• Journal of Computing Science and Engineering
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• 제5권4호
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• pp.338-345
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• 2011

Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

• 한국산학기술학회논문지
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• 제19권4호
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• pp.138-142
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• 2018

본 연구에서는 플랜트 기자재 중 수충격에 매우 취약한 신축관 이음을 대상으로 수충격 발생 시 신축관 이음의 신축량의 변화를 현장에서 취득한 후 HIL 시뮬레이터의 작동데이터로 적용한 HILS 기법을 적용한 진동내구 시험을 수행하였다. 또한 진동내구 시험 시 내구수명의 주요 스트레스 인자로 신축관 내부압력을 가정하였다. 진동내구 시험은 신축관 내부 설정압 따라 진행되었으며 수명데이터를 이용, 수명데이터를 잘 따르는 곡선을 접합하여 수명예측 모델식을 유도하였고 특정 내부 설정압에서의 시험 및 수명결과를 통하여 이를 검증하였다. 한편, 시험 중 발생 된 신축관의 고장모드는 모두 벨로우즈 부 표면에 발생된 크랙과 크랙을 통한 누수 등이 있었다. 본 연구에서 유도한 수명에측 모델식은 설정압력을 스트레스 인자로 따르는 전형적인 역승모형이며 특정환경에서만 적용될 수 있는 한계를 지니고 있다. 이에 본 연구는 진동내구 수명의 가속요인인 압력 외 온도상태 등을 다양한 수명변수가 적용 가능한 복합수명예측 모델식을 개발할 예정이다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.1010-1015
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• 2009

Rail-pad is an important and readily replaceable component of a railway track, as it is the elastic layer between the rail and the sleeper. Characteristics and useful lifetime prediction of rail-pad was very important in design procedure to assure the safety and reliability. In order to investigate the useful lifetime, the accelerate test were carried out. Accelerated test results changes as the threshold are used for assessment of the useful life and time to threshold value were plotted against reciprocal of absolute temperature to give the Arrhenius plot. By using the acceleration test, several useful lifetime prediction for rail-pads were proposed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.132-135
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• 1990

This paper presents prediction of insulation lifetime in stress. Essentially, Epoxy resin, when it was subjected to different types of aging condition, produced to varieties of electrical properties and lifetime using spectroscopy and breakdown test. The relationships between the structural and electrical changes of aged epoxy were Investigated.