• Title/Summary/Keyword: Monitoring & diagnostic system

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A Study on the Simulator and Trouble Prediction Monitoring Methodology of the Automotive Air Conditioner (자동차 공조기의 시뮬레이터 및 고장예측 모니터링 기술에 관한 연구)

  • Son, Il-Moon;Kwak, Hyo-Yean
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.4
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    • pp.1568-1575
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    • 2013
  • There has been an increasing interest in the market of vehicle maintenance and repair equipments to decrease air pollution. However, most of the existing air conditioning system equipment in Korea have poor performance as well as non-protection against air pollution. The purpose of this paper is to develop the monitoring technology of recovering and recharging refrigerant for air conditioning system, and also to develop its related diagnostic system. This technology and system can supply the exact amount of refrigerant from the charger to the air conditioning system by precisely diagnosing and monitoring their statuses. This technology can also control recovering and recharging of refrigerant exactly by altering the recovering pressures of refrigerant according to circumstance temperatures.

Development of the Monitoring and Diagnosis Technique on Emergency Diesel Generator System (비상디젤발전기계통 상태감시 및 고장진단기술 개발)

  • Cho, Kwon-Hae;Rhyu, Keel-Soo;So, Myung-Ok;Park, Jong-Il;Son, Min-Su;Ahn, Jong-Kap;Lee, Yun-Hyung;Jang, Tae-Lin
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2005.06a
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    • pp.777-782
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    • 2005
  • The importance of emergency diesel generator(EDG) has confirmed in the safety evaluation of PSA and the study on aging of EDG has been progressed actively as a part of the project of nuclear plant aging research in the U.S.A. As the result, the concept of performance evaluation is being transferred from statistical analysis of test results to performance monitoring and trending analysis for monitoring of aging and reliability. Recently, the study related aging characteristic and reliability for EDGS has begun in Korea. Consequently, the efficient performance monitoring based systematic and integrated monitoring and failure diagnostic technology is necessary. In the research, the knowledge basis of monitoring parameters for EDGS is constructed, and the prototype monitoring and diagnosis system applicable to Pielstick EDG is developed.

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DIAGNOSIS OF DETERIORATION FOR HIGH VOLTAGE CABLE (전력 케이블의 열화진단)

  • Choi, Chang-Su;Kim, Young;Kim, Jang-Woen;Kim, Young-Nam
    • Proceedings of the KIEE Conference
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    • 1995.07c
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    • pp.1353-1355
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    • 1995
  • While the modern society has been highly diversified and civilized, the demand for the safty of a power transmission has been greatly increased. For the underground cable, the performance of the electrical equipments is being improved by developing a new technology, and the reliability of the power supply is being up graded by impressing the diagnostic and monitoring technology of the system. In this paper the aging procedure of O.F and XLPE cables are described, including the diagnostic and monitoring equipments and the future subject.

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Design and Implementation of a Mobile-based Sarcopenia Prediction and Monitoring System (모바일 기반의 '근감소증' 예측 및 모니터링 시스템 설계 및 구현)

  • Kang, Hyeonmin;Park, Chaieun;Ju, Minina;Seo, Seokkyo;Jeon, Justin Y.;Kim, Jinwoo
    • Journal of Korea Multimedia Society
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    • v.25 no.3
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    • pp.510-518
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    • 2022
  • This paper confirmed the technical reliability of mobile-based sarcopenia prediction and monitoring system. In implementing the developed system, we designed using only sensors built into a smartphone without a separate external device. The prediction system predicts the possibility of sarcopenia without visiting a hospital by performing the SARC-F survey, the 5-time chair stand test, and the rapid tapping test. The Monitoring system tracks and analyzes the average walking speed in daily life to quickly detect the risk of sarcopenia. Through this, it is possible to rapid detection of undiagnosed risk of undiagnosed sarcopenia and initiate appropriate medical treatment. Through prediction and monitoring system, the user may predict and manage sarcopenia, and the developed system can have a positive effect on reducing medical demand and reducing medical costs. In addition, collected data is useful for the patient-doctor communication. Furthermore, the collected data can be used for learning data of artificial intelligence, contributing to medical artificial intelligence and e-health industry.

A Study on Diagnosis and Prognosis for Machining Center Main Spindle Unit (머시닝센터 주축 고장예측에 관한 연구)

  • Lee, Tae-Hong
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.15 no.4
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    • pp.134-140
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    • 2016
  • Main Spindle System has effect on performance of machine tools and working quality as well as is required of high reliability. Especially, it takes great importance in producing automobiles which includes a large number of working processes. However, main spindle unit in Machine tools are often cases where damage occurs do not meet the design life due to driving in harsh environments. This is when excessive maintenance and repair of machine tools or for damage stability has resulted in huge economic losses. Therefore, this studying propose a method of accelerated life test for diagnosing and prognosis the state of life assessment main spindle system. Time status monitoring of diagnostic data - through the analysis of the frequency band signals were carried out inside the main spindle bearing condition monitoring and fault diagnosis.

Reliability Analysis of Slab Transfer Equipment in Hot Rolling Furnace (열간압연 가열로 슬라브 이송장치 신뢰도 해석)

  • Bae, Young-Hwan
    • Journal of the Korean Society of Safety
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    • v.21 no.1 s.73
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    • pp.6-14
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    • 2006
  • The development of automatic production systems have required intelligent diagnostic and monitoring functions to overcome system failure and reduce production loss by the failure. In order to perform accurate operations of the intelligent system, implication about total system failure and fault analysis due to each mechanical component failures are required. Also solutions for repair and maintenance can be suggested from these analysis results. As an essential component of a mechanical system, a bearing system is investigated to define the failure behavior. The bearing failure is caused by lubricant system failure, metallurgical deficiency, mechanical condition(vibration, overloading, misalignment) and environmental effects. This study described slab transfer equipment fault train due to stress variation and metallurgical deficiency from lubricant failure by using FTA.

A Design Solution for a Railway Switch Monitoring System (분기기 진단 시스템 설계에 관한 연구)

  • Choo, Eun-Sang;Kim, Min-Seong;Yoo, Heung-Yeol;Mo, Choong-Seon;Son, Eui-Sik;Park, Seongguen;Lee, Jong-Woo
    • Journal of the Korean Society for Railway
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    • v.18 no.5
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    • pp.439-446
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    • 2015
  • The turnout system, which determines the direction of the train, is not only a key system but also a vulnerable system. Failure of this system may lead to a delay of the train or even casualties. In this light, it is necessary to precisely the conditions of the turnout system. Currently, ROADMASTER of Germany is used as a diagnostic system in Korea. However, a new diagnostic system should be developed for optimized operation of the turnout system with maintenance that is suitable for the Korean railway environment. In this paper, a Fault Tree Analysis for the representative faults of the turnout system is conducted and physical quantities, which can be the cause of the fault, are classified according to the component and function. Also, the measuring factors for the monitoring are derived and a decision making theory is suggested. On the basis of the results, we propose a new turnout diagnostic system that can provide more driverse and precise information than the conventional system.

Development of a Real-Time Thermal Performance Diagnostic Monitoring System Using Self-Organizing Neural Network for KORI-2 Nuclear Power Unit (자기학습 신경망을 이용한 원자력발전소 고리 2호기 실시간 열성능 진단 시스템 개발)

  • Kang, Hyun-Gook;Seong, Poong-Hyun
    • Nuclear Engineering and Technology
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    • v.28 no.1
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    • pp.36-43
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    • 1996
  • In this work, a PC-based thermal performance monitoring system is developed for the nuclear power plants. The system performs real-time thermal performance monitoring and diagnosis during plant operation. Specifically, a prototype for the KORI-2 nuclear power unit is developed and examined in this work. The analysis and the fault identification of the thermal cycle of a nuclear power plant is very difficult because the system structure is highly complex and the components are very much inter-related. In this study, some major diagnostic performance parameters are selected in order to represent the thermal cycle effectively and to reduce the computing time. The Fuzzy ARTMAP, a self-organizing neural network, is used to recognize the characteristic pattern change of the performance parameters in abnormal situation. By examination, this algorithm is shown to be able to detect abnormality and to identify the fault component or the change of system operation condition successfully. For the convenience of operators, a graphical user interface is also constructed in this work.

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Fault diagnosis of walking beam roller bearing by FTA (FTA(Fault Tree Analysis)기법을 이용한 이송용 대부하 베어링 고장 진단)

  • Bae, Y.H.;Lee, H.K.;Lee, S.J.
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.5
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    • pp.110-123
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    • 1994
  • The development of automatic production systems have required inteligent diagnostic and monitoring function to repair system failure and reduce production loss by the failure. In order to perform accurate functions of intelligent system, inferencing about total system failure and fault analysis due to each mechanical component failures are required. Also the solution about repair and maintenance can be suggested from these analysis results. As an essential component of mechanical system, a bearing system is investigated to define the failure behavior. The bearing failure is caused by lubricant system failure, metallurgical defficiency, mechanical condition(vibration, overloading, misalignment) and environmental effect. This study described roller bearing fault train due to stress variation and metallurgical defficiency from lubricant failure by using FTA.

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Remote Fault Diagnosis and Maintenance System for NC Machine Tools (공작기계용 원격 고장진단 및 보수 시스템)

  • 신동수;현웅근;정성종
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.1
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    • pp.19-25
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    • 1998
  • Remote fault diagnosis and maintenance system using general telecommunication network is necessary for an effective fault diagnosis and higher productivity of NC machine tools. In order to monitor machine tool condition and diagnose alarm states due to electrical and mechanical faults, a remote data communication system for monitoring of NC machine fault diagnosis and status is developed. The developed system consists of (1) remote communication module among NC's and host PC using PSTN. (2) 8 channels analog data sensing module, (3) digital I/O module for control or NC machine, (4) communication module between NC machine and remote data communication system via RS-232C, and (5) software man-machine interface. Diagnostic monitoring results generated through a successive type inference engine are displayed in user-friendly graphics. The validity and reliability of the developed system is verified to be a powerful commercial version on a vertical machining center through a series of experiments.

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