• 제목/요약/키워드: deterioration prediction

검색결과 223건 처리시간 0.028초

촉진열화 및 장기폭로시험에 의한 고성능 PC패널의 내구성능 및 열화특성 (Characterization of Durability of PC panel by Accelerating Test in Deterioration Chamber and Long-Term Field Exposure Test)

  • 마상준;장필성;최재석;주정민
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2008년도 추계 학술발표회
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    • pp.1549-1554
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    • 2008
  • In this paper, The evaluation of durability of the PC Panel lining for tunnel structure was examined through the rapid test by carbonation and freezing and thawing. Also for the purpose of improvement of durability. Namely, the durable characteristics of PC Panel lining by carbonation and freezing and thawing, was evaluated by rapid test and long-term field exposure test and main influence factors were derived. As a result of test, Correlation of accelerating test in deterioration chamber and long-term field exposure test, it will be expected that the proposed correlation well to the prediction of life expectancy of structure and is contributed greatly in the future.

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Long-Term Outcome of Chronic Obstructive Pulmonary Disease: A Review

  • Jo, Yong Suk
    • Tuberculosis and Respiratory Diseases
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    • 제85권4호
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    • pp.289-301
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    • 2022
  • Chronic obstructive pulmonary disease (COPD) is a chronic airway inflammation characterized by fixed airflow limitation and chronic respiratory symptoms, such as cough, sputum, and dyspnea. COPD is a progressive disease characterized by a decline in lung function. During the natural course of the disease, acute deterioration of symptoms leading to hospital visits can occur and influence further disease progression and subsequent exacerbation. Moreover, COPD is not only restricted to pulmonary manifestations but can present with other systemic diseases as comorbidities or systemic manifestations, including lung cancer, cardiovascular disease, pulmonary hypertension, sarcopenia, and metabolic abnormalities. These pulmonary and extrapulmonary conditions lead to the aggravation of dyspnea, physical inactivity, decreased exercise capacity, functional decline, reduced quality of life, and increased mortality. In addition, pneumonia, which is attributed to both COPD itself and an adverse effect of treatment (especially the use of inhaled and/or systemic steroids), can occur and lead to further deterioration in the prognosis of COPD. This review summarizes the long-term outcomes of patients with COPD. In addition, recent studies on the prediction of adverse outcomes are summarized in the last part of the review.

A Study on Impedance Change Trend and Battery Life Analysis through Battery Performance Deterioration Factors

  • Mi-Jin Choi;Young-Jun Kim;Sang-Bum Kim
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권3호
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    • pp.129-134
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    • 2023
  • Although the use of batteries is rapidly increasing worldwide to improve carbon neutrality and energy efficiency, performance degradation due to the increase in the number of uses is inevitable as it is a finite resource that can be applied according to capacity and specifications. Deterioration and failure of batteries are recognized as important problems in various applications using batteries, including electric vehicles. In order to solve these problems, a diagnostic technology capable of accurately predicting battery life and grasping state information is required, but it is difficult in a non-linear form due to internal structure or chemical change. In this paper, the factors that generally cause battery performance change are directly applied to check whether there are external changes and impedance changes in the battery, and to analyze whether they affect battery life. Impedance change trends and result values were confirmed using a universal impedance spectroscopy method and a self-developed internal impedance measurement method. The results did not significantly affect the impedance change trend. It was confirmed that the increase in the number of times of battery use was prominent in the impedance change trend.

선박용 디젤기관의 열화성능 예측에 관한 연구 (Predictions of the deteriorating performance for the marine diesel engines)

  • 정찬호;노범석;이지웅;최재성
    • Journal of Advanced Marine Engineering and Technology
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    • 제37권1호
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    • pp.47-52
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    • 2013
  • 최근 고유가 시대를 경험한 이후 에너지 수급에 대한 불안감이 증대됨과 동시에 지구온난화, 대기오염문제 등과 관련하여 대체에너지의 개발과 고효율 친환경 기술개발에 대한 요구가 강화되고 있다. 특히, IMO(국제해사기구)의 MEPC에서는 부속서 6을 $CO_2$의 규제법으로 하고자 하는 논의가 진행 중이다. 한편, 선박의 에너지효율을 향상시키고자 하는 다양한 기술들은 대부분 주로 새로운 기술의 개발과 신조선에의 적용에만 관심이 집중되고 있다. 그러나 선박기관은 일반적으로 장시간의 운항으로 그 성능은 점점 저하되고 운전조건 또한 변화되기 때문에 운항중인 기존선의 운항조건에 최적화된 기관의 운전관리야말로 친환경 및 고효율화 대책에 실질적이면서 매우 유익한 대책이 될 수 있다. 본 논문은 선박엔진의 성능저하정도를 정량적으로 예측하고자 하는 내용으로 엔진의 성능을 저하시키는 주요 인자들과 급기효율저하, 블로바이 가스증가 및 연료분사상태의 악화로 인한 연소악화 등이 엔진성능에 미치는 영향을 예측, 검토하였다.

Relationship between Progressive Changes in Lamina Cribrosa Depth and Deterioration of Visual Field Loss in Glaucomatous Eyes

  • Kim, You Na;Shin, Joong Won;Sung, Kyung Rim
    • Korean Journal of Ophthalmology
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    • 제32권6호
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    • pp.470-477
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    • 2018
  • Purpose: To investigate the relationship between the progression of visual field (VF) loss and changes in lamina cribrosa depth (LCD) as determined by spectral-domain optical coherence tomography (SD-OCT) enhanced depth imaging in patients with primary open angle glaucoma (POAG). Methods: Data from 60 POAG patients (mean follow-up, $3.5{\pm}0.7$ years) were included in this retrospective study. The LCD was measured in the optic disc image using SD-OCT enhanced depth imaging scanning at each visit. Change in the LCD was considered to either 'increase' or 'decrease' when the differences between baseline and the latest two consecutive follow-up visits were greater than the corresponding reproducibility coefficient value ($23.08{\mu}m$, as determined in a preliminary reproducibility study). All participants were divided into three groups: increased LCD (ILCD), decreased LCD (DLCD), and no LCD change (NLCD). The Early Manifest Glaucoma Trial criteria were used to define VF deterioration. Kaplan-Meier survival analysis and Cox's proportional hazard models were performed to explore the relationship between VF progression and LCD change. Results: Of the 60 eyes examined, 35.0% (21 eyes), 28.3% (17 eyes), and 36.7% (22 eyes) were classified as the ILCD, DLCD, and NLCD groups, respectively. Kaplan-Meier survival analysis showed a greater cumulative probability of VF progression in the ILCD group than in the NLCD (p < 0.001) or DLCD groups (p = 0.018). Increased LCD was identified as the only risk factor for VF progression in the Cox proportional hazard models (hazard ratio, 1.008; 95% confidence interval, 1.000 to 1.015; p = 0.047). Conclusions: Increased LCD was associated with a greater possibility of VF progression. The quantitative measurement of LCD changes, determined by SD-OCT, is a potential biomarker for the prediction of VF deterioration in patients with POAG.

염화물 고정화를 고려한 철근 콘크리트 구조물의 내구수명 예측 (Service Life Prediction of R.C. Structures Considering Chloride Binding)

  • 이창수;박종혁;김영욱
    • 한국방재학회 논문집
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    • 제10권1호
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    • pp.15-22
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    • 2010
  • 자연환경 중 다양한 형태로 존재하는 염화물은 콘크리트 구조물의 철근 부식을 야기하며 이에 따른 심각한 내구성 저하와 함께 구조물의 수명을 감소시킨다. 현재 콘크리트 중의 염화물 침투 특성을 규명하기위한 연구는 해안가 장기 폭로 시험과 전기화학적 촉진 시험에 의한 확산계수 평가 등에 의해 지속적인 발전을 이루어왔으나 콘크리트의 배합, 수화도, 고정화능력, 공극률의 재료적 특성을 고려한 이성적이며 포괄적인 염화물 침투 모델에 관한 연구는 부족한 실정이다. 따라서 본 연구에서는 실내 염화물 침지 실험을 통해 콘크리트의 염화물 고정화 특성을 파악하고 이를 고려한 염화물 침투 모델로서 비정상상태의 염화물 침투 해석과 함께 해양침지환경하의 철근콘크리트 구조물의 내구수명 예측을 시도하였으며 SHRP 기준과 20~40%의 내구수명의 차이를 보였다.

확률론적 베이지언 모델링에 의한 케이블 교량의 복합열화 리스크 평가 및 예측시스템 (The Risk Assessment and Prediction for the Mixed Deterioration in Cable Bridges Using a Stochastic Bayesian Modeling)

  • 조태준;이정배;김성수
    • 한국구조물진단유지관리공학회 논문집
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    • 제16권5호
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    • pp.29-39
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    • 2012
  • 상관관계가 높은 복합열화의 완벽한 개별예측모델의 개발은 매우 어려운 문제로, 본 논문에서는 현수교 시스템의 미래열화와 유지 예산을 예측하기 위하여, 10년간의 유지 데이터가 주어진 매개변수(파손지표와 사용성)의 사후 확률 밀도함수를 찾기 위해 베이지언 추론을 적용하였다. 마르코프 연쇄 몬테카를로법을 이용하여 매개변수의 사후 분포를 조사하였다. 감소한 사용성의 모의위험예측은 사전분포와 연간유지 업무에서 업데이트한 데이터의 가능성에 따라 작성한 사후 분포이다. 기존의 선형 예측 모델과 비교하면, 제안된 2차 모델은 교량부품의 사용성, 위험요소, 그리고 유지 예산의 측정 데이터에 대하여 매우 개선된 수렴성과 근접성을 제공한다. 따라서 제안된 2차 추계학적 회귀 모델을 기반으로 복잡한 사회간접설비의 미래 성능과 유지관리예산을 예측하고 제어할 수 있는 기회를 제공할 것으로 기대한다.

기계학습을 통한 전기화재 예측모델 연구 (Electrical fire prediction model study using machine learning)

  • 고경석;황동현;박상준;문가경
    • 한국정보전자통신기술학회논문지
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    • 제11권6호
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    • pp.703-710
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    • 2018
  • 매년 전기화재사고에 대한 사고유형 분석, 점검 등 전기적 화재사고를 줄이기 위해 다양한 노력이 있었으나, 효율적인 의사결정지원 체계 및 기존 누적 데이터 활용방안의 미비로 효과적인 대처방안이 부재한 현황이다. 본 연구는 전기안전점검데이터, 전기화재사고정보, 건축물정보, 기상청정보 등 데이터 기반의 전기화재를 예측하는 알고리즘을 개발하고 이를 활용하여 전기화재사고를 줄이는데 목적이 있다. 본 연구에서는 한국전기안전공사, 기상청, 국토교통부, 소방본부 등 기관별로 수집된 데이터를 전처리, 융합, 분석, 모델링, 검증 과정을 거쳐 전기화재에 영향을 끼치는 요인과 예측모델을 도출하였다. 주요요인으로 절연저항 값, 습도, 풍속, 건축물 노후년수, 용적율, 건폐율, 건축물용도로 나타났고, Random forest 알고리즘을 활용한 예측모델은 74.7%의 정확도를 얻었다.

도시개발에 따른 대기환경 변화가 건강에 미치는 영향연구 (A Study about the Impact of Atmospheric Environmental Changes by Urban Development on Human Health)

  • 김재철;이종범;천태훈;장윤정
    • 환경영향평가
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    • 제19권1호
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    • pp.15-28
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    • 2010
  • Because deterioration of air quality and urban heat island directly harm health of citizens, Health Impact Assessment (HIA) and Environmental Impact Assessment (EIA) for urban development projects needs to conduct analysis of their impacts objectively. This study aims to review appropriate methods for assessment of air quality used at each stage of urban development and to investigate prediction and assessment methods of urban heat island. In addition, by evaluating impacts of climate change following supposed urban construction performed in the central area of Korea on public health, it examines usefulness of HIA for urban construction. When urban heat island prediction and HIA method suggested in this study are applied to an imaginary city, they predict urban heat island properly and the impacts of climate changes on public health inside the city could be determined clearly by calculating life-climate index and bio-climate index related with thermal environment from the model.

계절상품의 사전 예약판매가 물류비용에 미치는 영향에 관한 연구 (A Study on the Effects of Advance and Discount Sales of Seasonal Products by Subscription on Logistics Costs)

  • 김병찬
    • 디지털산업정보학회논문지
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    • 제11권3호
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    • pp.219-230
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    • 2015
  • It is difficult to make plans about the production schedule and volume of seasonal products due to the huge uncertainty in the prediction of their demands, which is why the amounts of carryover seasonal products increase after the peak season. Traditional models fail to meet the important requirements of production and stock plans related to the enhanced efficiency of logistics system due to the reduced value of carryover products by the disposal based on large discounts and deterioration, which poses considerable difficulties with actual problem solving. This study examined the stages of product storage from the specialized factory warehouses during a low season through the stores and the warehouses of local distribution centers during a high season to stock disposal and carryover product warehouses after a high season. The study developed a model for logistics rationalization plans to minimize carryover products by advance selling new products by subscription during a low season in anticipation of high season demands, increasing the accuracy of demands prediction, and making stable production plans, as well as demonstrated its excellence through numerical analysis.