• 의료법학
• /
• 제23권2호
• /
• pp.97-118
• /
• 2022

의료기관에서 진단용 방사선의 이용은 매년 급속히 증가하고 있다. 또한 집단 유효선량도 매년 증가하고 있다. 그러므로 국민에 대한 방사선 피폭을 최대한 적게 낮추어야 하며, 진단용 방사선 안전 관리를 효율적으로 할 수 있도록 제도적으로 확립하여야 한다. 이에 진단용 방사선 안전관리에 대한 법적 규율이 법령체계상 맞지 않거나 내용에 있어서 현실과 괴리가 없는지 문제점을 파악하고 그에 대한 개선 방향을 모색하여 다음과 같은 결과를 얻었다. 첫째, 「의료법」에는 검사·측정기관에 대한 근거 규정도 없고 행정처분에 대한 위임규정도 없다. 그러므로 「의료법」 에 검사·측정기관에 대한 근거 규정과 이들 기관들에 대한 행정처분의 근거 규정을 두어 법적 정당성을 확보해야 한다. 둘째, 진단용 방사선 특수의료장비에 대해서는 「특수의료장비의 설치 및 운영에 관한 규칙」과 「진단용 방사선 발생장치 안전관리에 관한 규칙」을 통합하여 신고 등 행정적 절차를 일원화해야 한다. 셋째, 「진단용 방사선 발생장치 안전관리에 관한 규칙」 상 진단용 방사선 안전관리기준을 위반한 경우에 행정처분 등 제재가 미비된 사항들을 보완할 필요가 있다. 넷째, 의료기관에서 이용하는 진단용 방사선과 치료용 방사선에 대하여 「의료법」과 「원자력안전법」의 이원적인 법령 체계로 규율하는 것은 진단용 방사선 안전관리에 있어서도 효율적이지 못하다. 따라서 진단용 방사선뿐만 아니라 치료용 방사선, 핵의학을 포함한 의료용 방사선 전체를 「의료법」 체계에서 통일하여 규율하는 것이 필요하다고 본다.

• 한국안전학회지
• /
• 제21권2호
• /
• pp.128-137
• /
• 2006

Traffic accidents occur due to complex influences of transportation companies, drivers, and road environment. This study found that education and surroundings for transportation companies, driving habits of drivers, and road safety facilities and accessory facilities were main factors that affected strongly traffic accidents. Also, it found that driving habits of drivers could affect accidents heavily more than two other factors. Road safety and accessory facilities were analysed that they affected traffic accidents independently with transportation companies and their own drivers. Therefore, in order to achieve a traffic accident prevention as our main target, those companies need to produce atmosphere that their own drivers can have safety awareness, and related institutions for the above target should run parallel with policy assistance and strict traffic enforcement. In the end, this study suggests that transportation companies should secure manpower wholly being charged with traffic safety and financial resources investing in it.

• 한국건설관리학회논문집
• /
• 제13권5호
• /
• pp.35-44
• /
• 2012

건축물 유지관리 단계에서의 안전점검 및 정밀안전진단은 1, 2종 시설물에만 국한되어 있으나 중소규모 건축물이 전체 건축물의 99.4%를 차지할 정도로 많다는 점을 고려할 때, 중소규모 건축물의 안전진단은 반드시 필요하다. 이 연구에서는 현행 안전점검 및 정밀안전진단 체계의 문제점을 고찰하고, 중소규모 건축물에 적용할 수 있는 안전진단 모델을 개발하였다. 현행 평가방식을 고찰하고 설문조사를 통해 기존 상태평가 항목을 중소규모 건축물에 적합하게 조정하였다. 안전진단 모델 개발에 퍼지이론이 적용되었으며, 평가를 용이하게 하기 위해 웹기반 프로그램을 개발하였다. 이 연구의 결과를 실무에 적용한다면 1, 2종 이외의 중소규모 건축물도 안전점검 및 정밀안전진단을 효율적으로 수행할 수 있을 것이다.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2002년도 춘계학술대회 논문집
• /
• pp.474-477
• /
• 2002

Safety is very important to operate nuclear power plant. To guarantee the safety, nuclear power plant should be run without trouble. This paper presents the application of a failure diagnosis approach based on discrete event system theory to the pressurizer pressure control system for Pressurized Water Reactor. Also, this paper shows a scheme of failure diagnosis by distributed diagnoser.

• 한국안전학회지
• /
• 제7권4호
• /
• pp.105-114
• /
• 1992

This paper presents an study on the knowledge based system for diagnosing the fire causes using the Fuzzy Possibility Measure( FPM ) about the electric-fire ignition. The Ignition values needed for causes diagnosis is computed as FPM for electric-fire ignition based on the internal scale technique that assigns numerically the characteristic difference of facts to the-tin-ear scale. For the convinience of inference, ignition sources are classified into seven types : short, ground fault, leakge of electricity, overcurrent, cord junction overheating, bad Insulation and spark. The system for causes diagnosis of electric-fire is composed of Knowledge Acquisition System, Inference Engine and Man-Machine Interface, The diagnosis system is wrritten in an artificial intelligence langusge “PROLOG” which uses depth-first search and backward chaining schemes in reasoning process.

• 전기학회논문지P
• /
• 제67권3호
• /
• pp.160-167
• /
• 2018

In this paper, a black box, which is provided the reliability and user safety of home battery energy storage system connected with solar energy generation, is developed. In the developed scheme, a status and diagnosis data of battery management system, power conditioning system, solar energy generation and grid is measured. This status and diagnosis data is stored and displayed in the developed black box. In addition, this status and diagnosis data is stored and displayed in a monitoring system and a smart phone of user. A performance evaluation of the developed black box is carried out using emulator of home battery energy storage system connected with solar energy generation. Consequently, the developed black box is proved its superiority of the reliability and user safety.

• 전기학회논문지
• /
• 제65권7호
• /
• pp.1295-1302
• /
• 2016

In this paper, a black box, which is provided the reliability and user safety of home battery energy storage system connected with solar energy generation, is developed. In the developed scheme, a status and diagnosis data of battery management system, power conditioning system, solar energy generation and grid is measured. This status and diagnosis data is stored and displayed in the developed black box. In addition, this status and diagnosis data is stored and displayed in a monitoring system and a smart phone of user. A performance evaluation of the developed black box is carried out using emulator of home battery energy storage system connected with solar energy generation. Consequently, the developed black box is proved its superiority of the reliability and user safety.

• 한국가스학회지
• /
• 제21권5호
• /
• pp.64-69
• /
• 2017

한국은 세계 2위의 LNG 수입국이고 2017년 기준 약 70기의 LNG 저장탱크가 상업운전 중에 있다. LNG산업의 핵심설비인 LNG 저장탱크는 1986년 상업운전 이후 설계보증 연한인 30년이 경과 되면서 도시가스사업법 개정을 통해 2014년부터 정밀안전진단을 수행하고 있다. 정밀안전진단 시 LNG 저장탱크의 외조 콘크리트에 대해서 상태평가를 할 수 있는 기준이 부재한 상태이다. LNG 저장탱크의 구조적 특성과 기존 토목구조물 상태평가 기준 분석을 통해 저장탱크의 대표부재에 대한 상태평가기준을 개발하였다. 개발된 객관적 상태평가기준은 LNG 저장탱크의 안전성 및 신뢰성을 향상시키고 보수기준을 제시할 수 있다.

• 한국전기전자재료학회논문지
• /
• 제24권3호
• /
• pp.208-214
• /
• 2011

In this thesis, the partial discharge according to applied voltage and variations of cross-sectional area and length of the conductor related to general condition for using cable was measured in order to study degradation diagnosis for 2-Core cable of the PVC insulator used in industrial fields for other safety installations. Also the thermal degradation conditions under various installation circumstances of cables were studied by assuming degradation conditions with each different degradation rate (50%, 67%, 100%) such as variation in degradated temperature, thermal exposure time, normal state, partially degradated state and overall degradated state for thermal degradation diagnosis. The quantity of electric discharge (V-Q) according to applied voltage was measured for measurement of inception voltage and extinction voltage. The quantity of electric discharge and the number of electric discharge (Q-N) were measured with applied voltage kept constantly. In addition, pictures were taken using SEM (scanning electron microscope) to compare the surface of external insulator to degradated state of internal insulator according to thermal degradation temperature and also compare the surface of external insulator to degradated surface state of internal insulator according exposure time of cables to thermal stress.

• Nuclear Engineering and Technology
• /
• 제50권8호
• /
• pp.1306-1313
• /
• 2018

The randomness and incipient nature of certain faults in reactor systems warrant a robust and dynamic detection mechanism. Existing models and methods for fault diagnosis using different mathematical/statistical inferences lack incipient and novel faults detection capability. To this end, we propose a fault diagnosis method that utilizes the flexibility of data-driven Support Vector Machine (SVM) for component-level fault diagnosis. The technique integrates separately-built, separately-trained, specialized SVM modules capable of component-level fault diagnosis into a coherent intelligent system, with each SVM module monitoring sub-units of the reactor coolant system. To evaluate the model, marginal faults selected from the failure mode and effect analysis (FMEA) are simulated in the steam generator and pressure boundary of the Chinese CNP300 PWR (Qinshan I NPP) reactor coolant system, using a best-estimate thermal-hydraulic code, RELAP5/SCDAP Mod4.0. Multiclass SVM model is trained with component level parameters that represent the steady state and selected faults in the components. For optimization purposes, we considered and compared the performances of different multiclass models in MATLAB, using different coding matrices, as well as different kernel functions on the representative data derived from the simulation of Qinshan I NPP. An optimum predictive model - the Error Correcting Output Code (ECOC) with TenaryComplete coding matrix - was obtained from experiments, and utilized to diagnose the incipient faults. Some of the important diagnostic results and heuristic model evaluation methods are presented in this paper.