• Title/Summary/Keyword: 기술등급평가

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Diagnosis of Deterioration Grades for Overhead Transmission Lines using Adaptive Neuro-Fuzzy Inference System (적응 뉴로퍼지 추론시스템을 이용한 가공 송전선의 열화등급 진단)

  • 김성덕;이상래
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.17 no.4
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    • pp.57-63
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    • 2003
  • Aluminum Stranded Conductors Steel Reinforced (ACSR) in overhead transmission lines have slowly degraded due to pollutants in the air for a long period of time, so in the 2000, a number of them has been exceeded over their forecasted useful life. Since most of them are faced with assessment their present conditions in regard to economical maintenance, in this paper, we have suggested a method in order to evaluate the current condition of aged conductors by using dominant parameters such as elapsed years, environment index, and conductor configuration. A diagnostic system for predicting the deterioration grades corresponding to the lifetime of aged conductors is described, which is designed as an Adaptive Neuro-fuzzy Inference System (ANFIS) based on knowledge and experiences of experts. Applying this diagnostic system to practical transmission lines in domestic, it is shown that the system can be effectively used as a guide to perform nondestructive diagnosis and economical operation for old ACSR conductors.

Bridge Scour Prioritization and Management System (II) - System Verification - (교량세굴 위험도 결정 및 유지관리 시스템 개발(II) - 시스템 검증 -)

  • Kwak, Kiseok;Park, Jae Hyun;Yoon, Hyun Suk;Woo, Hyo Seop
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2B
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    • pp.197-208
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    • 2006
  • Case studies for real bridge sites are performed to verify the applicability of the Bridge Scour Management System in the field. The case studies for 20 bridges in Gangneung District of National Road Management consist of site investigations including the boring tests, bridge scour analyses for the design floods, bearing capacity evaluation of the bridge foundation before and after scour, and comprehensive evaluation of the bridge scour maintenance. The bridge scour management system is verified as an useful tool which can evaluate bridge scour vulnerability quantitatively, and is also proposed as a reasonable system which can help establish effective measures and secure the safety of bridges during floods.

Quantitative Fire Risk Assessment and Counter Plans Based on FDS and GIS for National Road Bridges (FDS와 GIS를 이용한 교량 화재 위험도의 정량적 평가 및 적용방안)

  • Ann, Ho June;Park, Cheol Woo;Kim, Yong Jae;Jang, Young Ik;Kong, Jung Sik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.6
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    • pp.185-195
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    • 2017
  • In recent years, unexpected bridge fire accidents have increased because of augmenting the number of traffic volumes and hazardous materials by the increment in traffics and distribution business. Furthermore, in accordance with the effort of using the under space of bridges, the ratio of occupied by combustible materials like oil tanker or lorry has been increased. As a result, the occurrence of bridge fire has been growing drastically. In order to mitigate the accident of bridge fire, risk assessment of bridge fire has been studied, however, practical risk models considering safety from users' viewpoints were scarce. This study represented quantitative risk assessment model applicable to national road bridges in Korea. The primary factors with significant impacts on bridge fire accidents was chosen such as clearance height, materials of bridges, arrival time of fire truck and fire intensity. The selected factors were used for Fire Dynamics Simulation (FDS) and the peak temperature calculated by FDS in accordance with the fire duration and fire intensity. The risk assessment model in bridge fire reflected the FDS analysis results, the fire damage criteria, and the grade of fire truck arrival time was established. Response plans for bridge fire accidents according to the risk assessment output has been discussed. Lastly, distances between bridges and fire stations were calculated by GIS network analysis. Based on the suggested assessment model and methodology, sample bridges were selected and graded for the risk assessment.

A Study on the Bulletproof Reliability Program (방탄물자 신뢰성 평가(BRP)에 관한 연구)

  • Gu, Seung Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.300-307
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    • 2020
  • This study examines the reliability evaluation concept and procedure of bulletproof materials (BRP: Bulletproof Reliability Program). ASRP, RAM analysis tasks were utilized for the study. Based on this analysis, the concept, method, performance system, and procedure of BRP were examined. The BRP task execution procedure consists of the following four steps. First, the business (evaluation) planning stage establishes the evaluation plan every year. Second, there is a testing stage that performs the general inspection, functional test, and operational test according to the established plan. Thirdly, there is an evaluation/analysis phase to synthesize/analyze the results and to judge the appropriate grade considering the performance of bulletproof materials. Finally, the follow-up step of each group according to the result. The following criteria are suggested for BRP implementation: BRP testing capability, development of BRP evaluation method, and recognition of the importance of BRP business.

Development of Diagnosis Application for Rail Surface Damage using Image Analysis Techniques (이미지 분석기법을 이용한 레일표면손상 진단애플리케이션 개발)

  • Jung-Youl Choi;Dae-Hui Ahn;Tae-Jun Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.511-516
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    • 2024
  • The recently enacted detailed guidelines on the performance evaluation of track facilities presented the necessary requirements regarding the evaluation procedures and implementation methods of track performance evaluation. However, the grade of rail surface damage is determined by external inspection (visual inspection), and there is no choice but to rely only on qualitative evaluation based on the subjective judgment of the inspector. Therefore, in this study, we attempted to develop a diagnostic application that can diagnose rail internal defects using rail surface damage. In the field investigation, rail surface damage was investigated and patterns were analyzed. Additionally, in the indoor test, SEM testing was used to construct image data of rail internal damage, and crack length, depth, and angle were quantified. In this study, a deep learning model (Fast R-CNN) using image data constructed from field surveys and indoor tests was applied to the application. A rail surface damage diagnosis application (App) using a deep learning model that can be used on smart devices was developed. We developed a smart diagnosis system for rail surface damage that can be used in future track diagnosis and performance evaluation work.

Analysis of Appropriateness for Maintenance of Aged Small Bridges based on Condition and Load Carrying Capacity Evaluation (상태평가와 내하성능평가를 통한 소규모 노후교량의 유지관리 적정성 분석)

  • Lee, Huseok;Roh, Hwasung;Sun, Jong-Wan;Park, Kyung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.59-66
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    • 2019
  • Small bridges carry out only general inspections based on visual inspection. The Bridges with more than 30 years of public use need to be decided on whether or not they will be reconstruction according to aging. However, there are some situations that need to be determined only by appearance condition, which is insufficient in terms of safety maintenance. In this paper, the condition evaluation and the load carrying capacity evaluation were carried out for aged small bridges. A comparison of the evaluation results was conducted to examine the appropriateness of the maintenance related to the decision making of the reconstruction. As a result of reviewing, two of the bridges showed that there are no abnormality in the safety of the state evaluation, but the load capacity were insufficient. Thus evaluation the safety and performing the reconstruction decision of aged small bridges by visual inspection alone with may cause problems. Therefore, it is necessary to carry out additional research on the ambient measurement and load carrying capacity evaluation for the maintenance of the bridges, and to supplement it through application of the bridge management system.

Ecological Network on Benthic Diatom in Estuary Environment by Bayesian Belief Network Modelling (베이지안 모델을 이용한 하구수생태계 부착돌말류의 생태 네트워크)

  • Kim, Keonhee;Park, Chaehong;Kim, Seung-hee;Won, Doo-Hee;Lee, Kyung-Lak;Jeon, Jiyoung
    • Korean Journal of Ecology and Environment
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    • v.55 no.1
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    • pp.60-75
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    • 2022
  • The Bayesian algorithm model is a model algorithm that calculates probabilities based on input data and is mainly used for complex disasters, water quality management, the ecological structure between living things or living-non-living factors. In this study, we analyzed the main factors affected Korean Estuary Trophic Diatom Index (KETDI) change based on the Bayesian network analysis using the diatom community and physicochemical factors in the domestic estuarine aquatic ecosystem. For Bayesian analysis, estuarine diatom habitat data and estuarine aquatic diatom health (2008~2019) data were used. Data were classified into habitat, physical, chemical, and biological factors. Each data was input to the Bayesian network model (GeNIE model) and performed estuary aquatic network analysis along with the nationwide and each coast. From 2008 to 2019, a total of 625 taxa of diatoms were identified, consisting of 2 orders, 5 suborders, 18 families, 141 genera, 595 species, 29 varieties, and 1 species. Nitzschia inconspicua had the highest cumulative cell density, followed by Nitzschia palea, Pseudostaurosira elliptica and Achnanthidium minutissimum. As a result of analyzing the ecological network of diatom health assessment in the estuary ecosystem using the Bayesian network model, the biological factor was the most sensitive factor influencing the health assessment score was. In contrast, the habitat and physicochemical factors had relatively low sensitivity. The most sensitive taxa of diatoms to the assessment of estuarine aquatic health were Nitzschia inconspicua, N. fonticola, Achnanthes convergens, and Pseudostaurosira elliptica. In addition, the ratio of industrial area and cattle shed near the habitat was sensitively linked to the health assessment. The major taxa sensitive to diatom health evaluation differed according to coast. Bayesian network analysis was useful to identify major variables including diatom taxa affecting aquatic health even in complex ecological structures such as estuary ecosystems. In addition, it is possible to identify the restoration target accurately when restoring the consequently damaged estuary aquatic ecosystem.

Factors Affecting Medical Service Utilization of Disabled (장애인의 의료이용에 영향을 미치는 요인)

  • Hwang, Hong-Gu;Jung, Hyun-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.5
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    • pp.219-225
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    • 2017
  • This article examined the condition of medical service utilization and the usage degree for the disabled in Korea, and analyzed factors affecting medical service utilization. This paper offers data for improving the health of disabled Korea residents and for enhancing medical service utilization. We analyzed data for disabled residents aged 19 from the 6th Korea National Health and Nutrition Examination Survey. Results found significant effects depending on gender, age, average monthly income, types of disorders, disability rating, and status of smoking. Concerning gender, men had a higher probability of lacking medical treatment compared with women, had increased probability of having a disability, and smokers had a higher probability of lacking treatment compared with nonsmokers. Therefore, for resolving medically untreated disabled Korean residents, government needs to improve the policy system and to managethe inequality of handicapped welfare work.

Stabilization Characteristics of Upgraded Coal Using Palm Oil Residues (팜 잔사유를 이용한 고품위화 석탄의 안정화 특성분석)

  • Park, In Su;Chun, Dong Hyuk;Jo, Wan Taek;You, Ji Ho;Lee, Si Hyun;Rhee, Young Woo
    • Clean Technology
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    • v.19 no.4
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    • pp.469-475
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    • 2013
  • In this research, the stabilization characteristics of upgraded coal using palm oil residues were investigated. The Eco coal, which is the Indonesian low-rank coal, was used as a raw material. The low-rank coal was mixed with palm fatty acid distillate (PFAD), and then dried in a nitrogen atmosphere at $107^{\circ}C$. The trend of spontaneous combustion of upgraded coal was studied by measuring of crossing-point temperature (CPT), low temperature oxidation and moisture readsorption. The results of the CPT measuring and low temperature oxidation showed that the propensity of spontaneous combustion of the upgraded coal was improved compared to the dried coal. The moisture readsorption characteristics of the upgraded coal was also improved. The upgraded coal was stabilized through the surface coating with PFAD, and stability of upgraded coal was proportional to the content of PFAD.

Detrended Fluctuation Analysis of EEG on a Depth of Anestheisa (뇌파신호의 DFA 분석을 이용한 마취심도 측정)

  • Ye, Soo Young;Baek, Seung-Wan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.7
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    • pp.2491-2496
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    • 2010
  • The DFA(detrended fluctuation analysis) which is included the correlation property of the EEG is used to analysis the depth of anesthesia. We studied ASA I or II adult patients supported by the society of anesthesiologists. Patients with history of dementia and neurological disorder are excluded. Average age is $48.9{\pm}10.9$ old, average weight is $57.1{\pm}8.2$ kg and average hight is $158{\pm}6.6$cm of the patients under the operation. Anesthesia medicine is Sevoflurane and the stages of anesthesia are 6 stages, that is pre-operation, induction, right after induction, stop the medicine and post-operation. Among the scaling exponent ${\alpha}1$, ${\alpha}2$, ${\alpha}3$ we know that ${\alpha}1$, ${\alpha}3$, were well appeared to discriminate pre-operation, induction, right after induction, stop the medicine and post-operation. So we confirmed that the parameters is useful to the depth of anesthesia.