• Title/Summary/Keyword: 고장예방

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Implementation of Sensor-embedded Main Wing Model for Structural Health Monitoring of the Ultra Light Airplane (초경량항공기의 구조적 안전진단을 위한 센서 매립형 주익 모델 제작)

  • Song, Jae-Hoon;Yang, Jae-Won;Rim, Mi-Sun;Kim, Yoon-Young;Park, Hoon;Seok, Jong-Nak;Kim, Chun-Gon;Choi, Sun-Woo;Lee, Jang-Yeon
    • Aerospace Engineering and Technology
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    • v.11 no.1
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    • pp.178-184
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    • 2012
  • In this study, implementation process of sensor-embedded main wing model for structural health monitoring is described. Fiber Bragg Grating (FBG) Sensor, Plumbum-Zirconate-Titanate (PZT) Sensor, and strain gauge are installed in the main wing of Jabiru UL airplane as a test-bed of Health and Usage Monitoring System (HUMS).

Loop power flow Analysis of Distribution lines Between Substations (변전소간 배전선로 Loop 조류 검토)

  • Jeon, Sang-Dong;Kim, Gi-Il;Jeong, Kyu-Won;Ryu, Hee-Young;Lee, Bong-Hee
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.169-170
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    • 2008
  • 최근 전력수요의 증가 및 부하 고밀도화에 효과적으로 대응하고 배전설비 투자비용의 절감을 통한 경영효율성 증진을 위해 전배전선로를 대상으로 배전선로의 상시운전용량과 비상시운전용량을 상향조정하였다. 도심번화가 공단 등 부하밀집지역, 선로전압 유지곤란지역 및 경과지 확보가 곤란한 지역에 대용량 배전방식을 채택하여 운영하고 있다. 이와 같은 배전계통 운전 용량의 큰 변화에 따라 전력회사에서는 일선사업소의 모든 배전계획자들이 배전계획 및 운영시 배전계통의 설비를 가장 효율적으로 이용할 수 있도록 모든 배전선로에 대하여 배전용변전소, 주변압기, 인접 2회선 등의 상정사고 및 작업시에도 건전정전구간이 발생하지 않도록 부하를 융통할 수 있는 연계 기준이 마련되어 있다. 본 논문에서는 배전선로의 루프운전의 조건가능 여부를 보다 정확하고 신속한 방법으로 사전에 검토하여 고장을 예방하고자 한다.

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A Study on the Signal Processing Techiques for Pattern Classification of Electrical Loads (전기부하 패턴분류를 위한 신호처리 기법에 관한 연구)

  • Lim, Young Bae;Kim, Dong Woo;Jin, Sangmin;Cho, Seongwon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.5
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    • pp.409-415
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    • 2016
  • Recently several techniques for disaster prevention based on IoT(Internet of Things) are being developed. In this paper, a new smart pattern classification method for electric loads is proposed. CT(Current Transformer) data are extracted from electric loads, and then the sampled CT data are converted using FFT and MFCC. FFT and FMCC data are used for the input data of neural networks. Experiments were conducted using FFT and MFCC data for 7 kinds of electric loads. Experiments results indicate the superiority of MFCC in comparison to FFT.

Internal Defect Analysis of Transformers using DGA (유중가스분석을 통한 변압기 내부결함 분석)

  • Kim, Seong-Hwan;Park, Tae-Sik
    • Journal of IKEEE
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    • v.24 no.1
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    • pp.354-359
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    • 2020
  • DGA(Dissolved Gas Analysis) is regularly performed to detect internal defects of power transformers and prevent failures. The overheating or discharging in the transformer can be confirmed by DGA but the defective parts should be identified by internal inspection. However, winding or iron core defects cannot be checked by internal inspection, so it is impossible to establish actions by DGA alone. In this paper, the internal defect mode is analyzed and presented based on the transformer internal inspection reports, and the internal defect can be predicted by considering DGA.

Construction and Development of IoT-based Home Gas Equipment Safety Platform Service (IoT 기반 가정 가스시설 안전 플랫폼 서비스 구축 및 개발)

  • Oh, Jeong-Seok;Baek, Dong-Seok;Park, Tae-Jun;Kim, Jong-Hyeok
    • Journal of the Korean Institute of Gas
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    • v.23 no.5
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    • pp.15-23
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    • 2019
  • 42.5% of domestic gas accident due to human factors, and 38% occurred in residential area. Also gas accident caused by deterioration / malfunction increased more than 2 times for last 1 year. In this study we developed IoT based gas safety platform service for Home-gas safety, which secured 99.32% of data transmit accuracy, monitoring and remote control through LPWA bidirectional communication.

Countermeasures to prevent contact between phases on overhead lines (가공송전선로 상(相)간 혼촉으로 인한 고장 예방 대책)

  • Park, Yoon-Seok;Kim, Yong-Rak;Kim, Ho-Ki;Kim, Won-Jin;Choi, Jin-Sung
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.109-110
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    • 2007
  • Most transmission lines pass through mountainous terrain and deep valleys, to avoid populated areas. Accordingly, the impact of climate changes, environmental conditions and system expansion have caused an increase in transmission line system fault rates. KEPCO has developed and applied phase-spacers to reduce contact faults between phases. Contact between phases represented 9% of total line faults before the devices were installed. Phase-spacers have reduced faults by up to 3.4% since the phase-spacers were installed in 2005. Also, recently developed devices provide additional economic benefits as they cost about a third of the price as similar devices introduced in foreign countries. Phase-spacers are an effective way to prevent phase contact accidents by maintaining physical space between phases. These spacers will be implemented in areas where contacts are likely to occur. They are expected to reduce accident rates and improve power quality.

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Deep Learning(CNN) based Worker Detection on Infrared Radiation Image Analysis (딥러닝(CNN)기반 저해상도 IR이미지 분석을 통한 작업자 인식)

  • Oh, Wonsik;Lee, Ugwiyeon;Oh, Jeongseok
    • Journal of the Korean Institute of Gas
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    • v.22 no.6
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    • pp.8-15
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    • 2018
  • worker-centered safety management for hazardous areas in the plant is required. The causes of gas accidents in the past five years are closely related to the behavior of the operator, such as careless handling of the user, careless handling of the suppliers, and intentional, as well as equipment failure and accident of thought. In order to prevent such accidents, real-time monitoring of hazardous areas in the plant is required. However, when installing a camera in a work space for real-time monitoring, problems such as human rights abuse occur. In order to prevent this, an infrared camera with low resolution with low exposure of the operator is used. In real-time monitoring, image analysis is performed using CNN algorithm, not human, to prevent human rights violation.

Preventive Policy With Minor Failure Under Age and Periodic Replacement (경미한 고장을 수반하는 시스템에 대한 노화 및 예방적 교체 정책)

  • Lee, Jinpyo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.3
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    • pp.78-89
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    • 2022
  • The purpose of this study was to propose useful suggestion by analyzing preventive replacement policy under which there are minor and major failure. Here, major failure is defined as the failure of system which causes the system to stop working, however, the minor failure is defined as the situation in which the system is working but there exists inconvenience for the user to experience the degradation of performance. For this purpose, we formulated an expected cost rate as a function of periodic replacement time and the number of system update cycles. Then, using the probability and differentiation theory, we analyzed the cost rate function to find the optimal points for periodic replacement time and the number of system update cycles. Also, we present a numerical example to show how to apply our model to the real and practical situation in which even under the minor failure, the user of system is not willing to replace or repair the system immediately, instead he/she is willing to defer the repair or replacement until the periodic or preventive replacement time. Optimal preventive replacement timing using two variables, which are periodic replacement time and the number of system update cycles, is provided and the effects of those variables on the cost are analyzed.

Prediction of Marine Accident Frequency Using Markov Chain Process (마코프 체인 프로세스를 적용한 해양사고 발생 예측)

  • Jang, Eun-Jin;Yim, Jeong-Bin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.266-266
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    • 2019
  • Marine accidents are increasing year by year, and various accidents occur such as engine failure, collision, stranding, and fire. These marine accidents present a risk of large casualties. It is important to prevent accidents beforehand. In this study, we propose a modeling to predict the occurrence of marine accidents by applying the Markov Chain Process that can predict the future based on past data. Applying the proposed modeling, the probability of future marine accidents was calculated and compared with the actual frequency. Through this, a probabilistic model was proposed to prepare a prediction system for marine accidents, and it is expected to contribute to predicting various marine accidents.

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Evaluation of Insulation Deterioration for the Development of SVM Algorithm to Diagnose OF Cable (OF 케이블 진단용 SVM 알고리즘 개발을 위한 절연열화 평가)

  • Kwak, Byeong Sub;Jun, Tae-Hyun;Kim, Ah-Reum;Park, Hyun-joo
    • KEPCO Journal on Electric Power and Energy
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    • v.5 no.4
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    • pp.263-273
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    • 2019
  • South Korea's OF cable is reaching its expected design life of 30 years, and as a result, the risk of failure is increasing. Therefore, it is necessary to diagnose the long-term operating OF cables through accurate diagnosis at the right time to prevent the failure. Currently, the KEPCO periodically conducts DGA. However, the gas found in DGA is caused by oil deterioration as well as insulation paper. Therefore, the analysis of the degree of polymerization and furan compounds which is an evaluation of insulation paper considered to be the life of OF cables is required. In addition, the results of the evaluation of deterioration of insulation paper need to be checked for correlation with the results of DGA. In this study, DGA carried out through GC, the degree of polymerization was analyzed using an automatic viscometer, and HPLC was used to detect the furan compounds. In addition, the obtained results were applied to the SVM technique, which was recently introduced to determine abnormalities in OF cable. And the results which were accurate and reliable were obtained.