• Title, Summary, Keyword: Advanced monitoring

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Insight Sources and Influence of Yellow-sand Events in Spring 2003

  • Zhuanshi He;Kim, Young J.;Kim, Jeong E.;K.O. Ogunjobi;Seong Y. Ryu;Kim, Kyung W.;Lee, Kwon H.;Park, Sung C.;Lee, Chul K.;Park, han S.;Yong M. Noh;Jin S. Jung;Kim, Min J.;Hyun R. Jung
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • pp.281-282
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    • 2003
  • The significant spring-time phenomenon known as the "Yellow Sand" influences not only regional but also global climate. It′s believed that frequency of yellow-sand events has increased in recent years. To investigate the possible factors inducing these special strong weather phenomenon and its impacts on meteorological elements, intensive sampling will be conducted by ADEMRC/KJIST from March to May 2003. Lagrangian trajectory (forward and backward), cluster analysis, factor analysis and satellite remote sense (SRS) techniques will be employed to inspect the mechanisms of yellow-sand. (omitted)

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Development of the Wireless Technique for Health Monitoring of Superconducting Motor (초전도 모터의 상태진단을 위한 데이터 신호 무선처리 기법개발)

  • Seo, K.C.;Lee, M.R.;Lee, J.H.;Kwon, Y.K.;Shon, M.H.
    • Proceedings of the KSME Conference
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    • pp.829-834
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    • 2004
  • This research is to development advanced health(condition) monitoring system of superconducting motors. Development of advanced condition monitoring systems offers the prospect of improved performance, assessment, and operation, simplified design, enhanced safety, and reduced overall cost of advanced and next generation superconducting motor. For advanced and next generation superconducting motor design, the opportunity exists to develop and implement real-time and continuous monitoring systems by integrating wireless and computational technique. Generally, condition monitoring and control of temperature is essential for managing the superconducting motor components, rotor and structures. In this research, development of advanced monitoring in low temperature and high speed operating environments offers the potential to greatly improve the control of harsh environments. In conventional method, slip rings have been used to acquire data from these sensors. However, the increase of sensors leads to vibration of the rotation axis and noise signals due to kinematics contact. In this study, the wireless data acquisition technique was employed to develop more stable monitoring system adequate for high speed rotating system.

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Review on Advanced Health Monitoring Methods for Aero Gas Turbines using Model Based Methods and Artificial Intelligent Methods

  • Kong, Changduk
    • International Journal of Aeronautical and Space Sciences
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    • v.15 no.2
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    • pp.123-137
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    • 2014
  • The aviation gas turbine is composed of many expensive and highly precise parts and operated in high pressure and temperature gas. When breakdown or performance deterioration occurs due to the hostile environment and component degradation, it severely influences the aircraft operation. Recently to minimize this problem the third generation of predictive maintenance known as condition based maintenance has been developed. This method not only monitors the engine condition and diagnoses the engine faults but also gives proper maintenance advice. Therefore it can maximize the availability and minimize the maintenance cost. The advanced gas turbine health monitoring method is classified into model based diagnosis (such as observers, parity equations, parameter estimation and Gas Path Analysis (GPA)) and soft computing diagnosis (such as expert system, fuzzy logic, Neural Networks (NNs) and Genetic Algorithms (GA)). The overview shows an introduction, advantages, and disadvantages of each advanced engine health monitoring method. In addition, some practical gas turbine health monitoring application examples using the GPA methods and the artificial intelligent methods including fuzzy logic, NNs and GA developed by the author are presented.

A Study on the Advanced Impedance Converter for Pipeline Health Monitoring (배관 안전진단을 위한 향상된 임피던스 컨버터 연구)

  • Kwon, Young-Min;Lee, Hyung-Su;Song, Byung-Hun
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.10 no.1
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    • pp.1-6
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    • 2011
  • The Underground pipeline facility is a general but most important facility in modern world, but its maintainability has been left behind. An automated and intelligent management technology is needed to prevent the wast of social resource and security. In this paper, we introduce Pipeline Health Monitoring(PHM) with Ubiquitous Sensor Network(USN) for inexpensive structure safety monitoring system, and improve its utility by inventing the advanced impedance converter.

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Analysis on Air Quality Characteristics through Air Quality Monitoring Stations in urban Background and High Altitude in 2005~2006 in Seoul (서울시의 2005~2006년 도시배경 및 상층측정망의 대기질 특성 분석)

  • Yoo, Seung-Sung;Jeon, Jae-Sik;Jung, Kweon;Shin, Eun-Sang;Jung, Bu-Jeon;Ryu, Ri-Na;Woo, Jung-Hun;Sunwoo, Young
    • Journal of Environmental Impact Assessment
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    • v.20 no.1
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    • pp.49-59
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    • 2011
  • The results of comparing $PM_{10}$ concentration between 'Namsan' and 'Yongsan-gu' air quality monitoring stations show similar values with averaged concentration in the whole Seoul. The correlation factors in both sites were 0.865, 0.828 in 2005, 2006, respectively. For 'Bukhansan' and 'Gangbuk-gu' air quality monitoring stations, different from the results mentioned above, they showed clear differences as altitude changes. PM10 concentration in 'Bukhansan' monitoring stations was 10 ${\mu}g/m^3$ lower than 'Gangbuk-gu' monitoring station which is located near the ground. Also, averaged PM10 concentration in 'Bukhansan' and 'Gangbuk-gu' monitoring stations was lower than that in the whole Seoul. When comparing $NO_2$ concentration between 'Namsan' and 'Yongsan-gu' monitoring stations, $NO_2$ concentration in 'Namsan' monitoring station was lower than 'Yongsan-gu' monitoring station. For $NO_2$ concentration in 'Bukhansan', 'Gangbuk-gu' and 'the whole Seoul', there were the same pattern in 'Gangbuk-gu' and the 'the whole Seoul' and low values in 'Bukhansan' monitoring station. The correlation factors of $NO_2$ concentration in 'Bukhansan' and 'Gangbukgu' was 0.525, 0.549 in 2005, 2006, respectively, which stands for low correlationship.