• Title/Summary/Keyword: Life Prediction Device

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A Comparative Study on the Welfare Assistive Devices In Korea and Japan (한국과 일본의 복지용구 품목 비교 연구)

  • Jeong, Hyun-Woo;Yeom, Hojun;Park, Sangsoo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.405-411
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    • 2022
  • Korea's long-term care insurance for the elderly, which started in 2008, is a borrowed one from gaeho insurance, which started eight years earlier. Both countries have a policy of welfare equipment benefit systems to support the lives of the elderly who are intellectually and mentally weakened. In this study, we attempted to compare and examine the welfare equipment items in Korea with those in Japan and find out the characteristics of the items in Korea and Japan. In Korea, loitering-detection device, posture changing devices, and incontinence underwears were registered as welfare devices before Japan, and in Japan, automatic urine disposal systems, wheelchair electric assist device, position converters, and lifts for handicapped person were designated as welfare devices before Korea. In addition, the Japanese Ministry of Health, Labor and Welfare has announced the designation of the excretion prediction support device as a welfare device. If Korea and Japan cooperate to develop welfare equipment items together, it will be of great help in improving the quality of life of the elderly in both countries in a super-aged society.

Storage Lifetime Prediction of Zr-Ni Delay System in Fuze K510 for High Explosive Shell (충격신관 K510용 Zr-Ni계 지연관의 저장수명 예측)

  • Park, Byung-Chan;Chang, Il-Ho;Back, Seung-Jun;Son, Young-Kap;Jung, Eun-Jin;Hwang, Taek-Sung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.6
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    • pp.719-726
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    • 2009
  • A delay system in fuze for high explosive shell is an important safety device, but failure in the delay system usually causes failure of the shell. Root-cause analysis of failure in the delay system is required since failure in over 10-years stored delay system recently occurs. In this paper, failure in the delay system was reproduced experimentally to examine aged characteristics of the delay system, and the failed delay system shows the same characteristics as ones of failed delay systems in field. Based on the reproduced experiments, accelerated life testings and the data analysis of failure times of delay systems were performed to predict the storage lifetime.

Life Prediction of Elastomeric U Seals in Hydraulic/Pneumatic Actuators Using NSWC Handbook (NSWC를 활용한 유공압 액추에이터 U 형 씰의 수명예측)

  • Shin, Jung Hun;Chang, Mu Seong;Kim, Sung Hyun;Jung, Dong Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.12
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    • pp.1379-1385
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    • 2014
  • Even the rough prediction of the product test time before the lifetime test of mechanical component begins would be of use in estimating cost and deciding how to keep up with the test. The reliability predictions of mechanical components are difficult because failure or degradation mechanisms are complicated, and few plausible databases are available for lifetime prediction. Therefore, this study conducted lifetime predictions of elastomeric U seals that were respectively installed in a hydraulic actuator and a pneumatic actuator using lifetime models and a field database based on failure physics and an actual test database obtained from the NSWC handbook. To validate the results, the predicted failure rates were compared with the actual lifetime test results acquired in the lab durability tests. Finally, this study discussed an engineering procedure to determine the coefficients in the failure rate models and analyzed the sensitivity of each influential parameter on the seal lifetime.

Potential Revenue Prediction Method of ESS using Lithium-ion Battery (리튬이온 배터리를 이용한 에너지저장장치 시스템의 잠재수익 산출 기법)

  • Won, Il-Kuen;Kim, Do-Yun;Jang, Young-Hee;Choo, Kyung-min;Hong, Sung-woo;Won, Chung-Yuen
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.423-424
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    • 2016
  • Recently, the mass production of Energy storage system (ESS) is actively perform around world. Energy storage system is a technique that stores power to energy storage device to supply energy into grid and load at peak-load. Therefore, the efficient energy management is available by using ESS system. The life of Lithium-ion battery is varied corresponding to the power usage, especially selected depth of discharge (DOD). The lifetime of battery is the one of the most issue of the ESS system because of its stability and reliability. Therefore, lifetime management of battery and power converter of ESS module is required. In this paper, the battery lifetime management method estimating residual power and lifetime of lithium ion battery of ESS system is proposed. Also, total avenue prediction of ESS system is simulated considering the total lifetime of battery.

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Gait Feature Vectors for Post-stroke Prediction using Wearable Sensor

  • Hong, Seunghee;Kim, Damee;Park, Hongkyu;Seo, Young;Hussain, Iqram;Park, Se Jin
    • Science of Emotion and Sensibility
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    • v.22 no.3
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    • pp.55-64
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    • 2019
  • Stroke is a health problem experienced by many elderly people around the world. Stroke has a devastating effect on quality of life, causing death or disability. Hemiplegia is clearly an early sign of a stroke and can be detected through patterns of body balance and gait. The goal of this study was to determine various feature vectors of foot pressure and gait parameters of patients with stroke through the use of a wearable sensor and to compare the gait parameters with those of healthy elderly people. To monitor the participants at all times, we used a simple measuring device rather than a medical device. We measured gait data of 220 healthy people older than 65 years of age and of 63 elderly patients who had experienced stroke less than 6 months earlier. The center of pressure and the acceleration during standing and gait-related tasks were recorded by a wearable insole sensor worn by the participants. Both the average acceleration and the maximum acceleration were significantly higher in the healthy participants (p < .01) than in the patients with stroke. Thus gait parameters are helpful for determining whether they are patients with stroke or normal elderly people.

Thermal Characteristics Analysis of Power Device for Motor Driving Power Converter (전동기 구동용 전력 변환기에 대한 전력소자의 열적 특성 해석)

  • Cho, Moontaek;Lee, Chungsik;Lee, SangBock
    • Journal of the Korean Society of Radiology
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    • v.6 no.6
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    • pp.495-498
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    • 2012
  • In this paper, the basic behavior of the environment and the driving time as a prediction of the lifetime of the power semiconductor devices were recorded. Radiator of a power device driving time and temperature operating environment, including cumulative record by the controller of the power converter, and doing it so you can see the power semiconductor devices for the life of the structure that the size of the change in the temperature of the semiconductor chip and the number of iterations to maintenance warranty period because of a lifetime by forecasting or replacement can be made at the appropriate time that is considered.

Deep Learning Algorithm and Prediction Model Associated with Data Transmission of User-Participating Wearable Devices (사용자 참여형 웨어러블 디바이스 데이터 전송 연계 및 딥러닝 대사증후군 예측 모델)

  • Lee, Hyunsik;Lee, Woongjae;Jeong, Taikyeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.6
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    • pp.33-45
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    • 2020
  • This paper aims to look at the perspective that the latest cutting-edge technologies are predicting individual diseases in the actual medical environment in a situation where various types of wearable devices are rapidly increasing and used in the healthcare domain. Through the process of collecting, processing, and transmitting data by merging clinical data, genetic data, and life log data through a user-participating wearable device, it presents the process of connecting the learning model and the feedback model in the environment of the Deep Neural Network. In the case of the actual field that has undergone clinical trial procedures of medical IT occurring in such a high-tech medical field, the effect of a specific gene caused by metabolic syndrome on the disease is measured, and clinical information and life log data are merged to process different heterogeneous data. That is, it proves the objective suitability and certainty of the deep neural network of heterogeneous data, and through this, the performance evaluation according to the noise in the actual deep learning environment is performed. In the case of the automatic encoder, we proved that the accuracy and predicted value varying per 1,000 EPOCH are linearly changed several times with the increasing value of the variable.

Prediction of Life Time of Ion-exchange Membranes in Vanadium Redox Flow Battery (바나듐 레독스 흐름전지용 이온교환막의 수명 예측)

  • Cho, Kook-Jin;Park, Jin-Soo
    • Journal of the Korean Electrochemical Society
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    • v.19 no.1
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    • pp.14-20
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    • 2016
  • Vanadium redox flow battery (VRFB) is an energy conversion device in which charging and discharging are alternatively carried out by oxidation and reduction reactions of vanadium ions with different oxidation states. VRFB consists of electrolyte, electrode, ion-exchange membrane, etc. The role of ion-exchange membranes in VRFB separates anolyte and catholyte and provides a high conductivity to hydrogen ions. Recently much attention has been devoted to develop ideal ion-exchange membranes for VRFB. A number of developed ion-exchange membranes should be evaluated to find out ideal ion-exchange membranes for VRFB. Long-term durability test is a crucial characterization of ion-exchange membranes for commercialization, but is very time-consuming. In this study, the life time prediction protocol of ion-exchange membranes in VRFB cell tests was developed through short-term single cell performance evaluation (real total operation time, 87.5 hrs) at three different current densities. We confirmed a decrease in test time up to 96.2% of real durability tests (expected total operation time, 2,296 hrs) and 5~6% of relative error discrepancy between the predicted and the real life time in a unit cell.

CFD Prediction of Cavity Drag at Transonic and Low Supersonic Speeds

  • 김희동;구병수;우선훈
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2000.04a
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    • pp.18-18
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    • 2000
  • In the high lift devices specifications for surface smoothness requirements, as manufacturing tolerances, arise out of aerodynamic consideration to minimize drag. True optimization of tolerances is a multi-disciplinary problem involving fluid mechanics, device performance, manufacturing philosophy and life cycle costing. One of the reasons for degradation of wetted surface is discrete roughness as a consequence of manufacturing defects, collectively termed as one of the excrescences effect. Usually, excrescence drag arising out of discrete roughness is of considerable lower order of magnitude as compared to the total drag of the flight bodies. Nor was there adequate predicting tool to account for the extent of drag degradation. Estimation of excrescence drag remained as a state-of-the art based on experimental results.

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Reliability Evaluation of an Oil Cooler for a High-Precision Machining Center

  • Lee, Seung-Woo;Han, Seung-Woo;Lee, Hu-Sang
    • International Journal of Precision Engineering and Manufacturing
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    • v.8 no.3
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    • pp.50-53
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    • 2007
  • Improving the reliability or long-term dependability of a system requires a different approach from the previous emphasis on short-term concerns. The purpose of this paper is to present a reliability evaluation method for an oil cooler intended for high-precision machining centers. The oil cooler system in question is a cooling device that minimizes the deformation caused from the heat generated by driving devices. This system is used for machine tools and semiconductor equipment. We predicted the reliability of the system based on the failure rate database and conducted the reliability test using a test-bed to evaluate the life of the oil cooler. The results provided an indication of the reliability of the system in terms of the failure rate and the MTBF of the oil cooler system and its components, as well as a distribution of the failure mode. These results will help increase the reliability of oil cooler systems. The evaluation method can also be used to determine the reliability of other machinery products.