• Title/Summary/Keyword: Reliability Data Base

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Quantitative Safety Assessment for Hydrogen Station Dispenser (수소 충전소 충전기의 정량적 안전성 평가)

  • Rhie, Kwang-Won;Kim, Tae-Hun;Lee, Taeck-Hong
    • Journal of Hydrogen and New Energy
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    • v.17 no.3
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    • pp.272-278
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    • 2006
  • This study is quantitatively assessing of safety about dispenser of hydrogen station because it is hydrogen energy to efficient safety use. The large leakage of hydrogen gas is the most important accident among others occurrence possibility in hydrogen station. It had written FT by top event and calculated unavailability, m-cutsets, leakage frequency, etc with FTA after each base event collect reliability data by reliability data handbook, THERP-HRA and estimation of the engineering.

The Development of the Simulation Input Library (시뮬레이션 입력값 라이브러리 구축)

  • Kang, Su-Hyun;Yu, Ji-Suck;Baek, Seung-Hyo;Cho, Young-Hum;Kim, Kwang-Woo
    • 한국태양에너지학회:학술대회논문집
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    • 2011.04a
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    • pp.287-292
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    • 2011
  • It has found that the using library base on criteria of a foreign country resulted in problem of reliability. In order to obtain reliable result, it was necessary to develop the simulation input library based on domestic condition. So, this study was conducted for making the library in accordance with domestic condition when doing simulation modeling about the exist and new buildings. The range of library were consist of material, facility systems, schedules and weather data. And Energy Plus program was used when making library. We hope that the developed library will contribute to reliability when simulating exist and new buildings.

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Analyzing Survival Data by Proportional Reversed Hazard Model

  • Gupta, Ramesh C.;Wu, Han
    • International Journal of Reliability and Applications
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    • v.2 no.1
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    • pp.1-26
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    • 2001
  • The purpose of this paper is to introduce a proportional reversed hazard rate model, in contrast to the celebrated proportional hazard model, and study some of its structural properties. Some criteria of ageing are presented and the inheritance of the ageing notions (of the base line distribution) by the proposed model are studied. Two important data sets are analyzed: one uncensored and the other having some censored observations. In both cases, the confidence bands for the failure rate and survival function are investigated. In one case the failure rate is bathtub shaped and in the other it is upside bath tub shaped and thus the failure rates are non-monotonic even though the baseline failure rate is monotonic. In addition, the estimates of the turning points of the failure rates are provided.

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Development of an Integrated Knowledge-base and its Management Tool for Computerized Alarm Processing System

  • Gyunyoung Heo;Park, Seong-Soo;Kim, Han-Gon;Chang, Soon-Heung
    • Proceedings of the Korean Nuclear Society Conference
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    • 1997.05a
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    • pp.133-138
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    • 1997
  • For a long time, a number of alarm processing techniques have been researched to reduce the number of actuated alarms for operators to deal with effectively during the abnormal as well as the normal conditions. However, the strategy that the only systems with a few clear technologies should be used as a part of an alarm annunciation system has been adopted considering the effectiveness and the reliability in actual alarm processing systems. Therefore, alarm processing systems have difficult knowledge-base maintenance problems and limited expansion or enhancement defects. To solve these shortcomings, the integrated knowledge-base which can express the general information related to all the alarm processing techniques is proposed and its management tool, Knowledge Input Tool for Alarm (KIT-A) which can handle the data of the knowledge-base efficiently is developed. Since the integrated knowledge-base with KIT-A can manipulate all the alarm information without the modification of alarm processing system itself, it is expected to considerably advance the overall capability of maintenance and enhancement of the alarm processing systems.

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A Study on the Shelf-Life Prediction of the Domestic Single Base Propellants Ammunition : Based on 105mm High Explosive Propellants (국내 단기추진제 탄약의 저장수명 예측에 관한 연구 : 105미리 고폭탄 추진체를 중심으로)

  • Choi, Myoungjin;Park, Hyungju;Yang, Jaekyung;Baek, Janghyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.37 no.3
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    • pp.36-42
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    • 2014
  • Domestic 105mm HE (High Explosive) shell is composed of three parts that are Fuze, Projectile and Propellants. Among three parts, propelling charge of propellants part consists of single base propellants. It has been known that the lifespan of single base propellants is affected by a storage period. These are because Nitrocellulose (NC) which is the main component of propelling gunpowder can be naturally decomposed to unstable substances similar with other nitric acid ester. Even though it cannot be prevented fundamentally from being disassembled, a decomposition product ($NO_2$, $NO_3$, and $HNO_3$) and tranquillizer DPA (Diphenylamine) having high reactivity are added into a propellant to restrain induction of automatic catalysis by a decomposition product. The decay rate of the tranquillizer is also affected by a production rate of the decomposition product of NC. Therefore, an accurate prediction of the Self-Life is required to ensure against risks such as explosion. Hereupon, this paper presents a new methodology to estimate the shelf-life of single base propellants using data of ASRP (Ammunition Stockpile Reliability Program) to domestic 105mm HE (propelling charge of propellants part). We selected four attributes that are inferred to have influence on distribution of the DPA amount in a propellant from the ASRP dataset through data mining processes. Then the selected attributes were used as independent variables in a regression analysis in order to estimate the shelf-life of single base propellants.

A Study of improving reliability on prediction model by analyzing method Big data (빅데이터 분석방법을 이용한 예측모형의 신뢰도 향상에 관한 연구)

  • Song, Min-Gu;Kim, Sun-Bae
    • Journal of Digital Convergence
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    • v.11 no.6
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    • pp.103-112
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    • 2013
  • Traditional method of establishing prediction model is usually using formal data stored in Data Base. However, nowadays advent of "smart" era brought by ground-breaking development of communication system makes informal data to dominate overall data, such 80% in total. Therefore, conventional method using formal data as establishing predicting model would be untrustworthy means in present. In other words, it is indispensible to make prediction model credible including informal data(SNS, image, video) and semi-formal data(log data). In this study, we increase credibility of predicting model adapting Bigdata method and comparing reliability of conventional measurement to real-data.

A Efficient Data Transmission Protocol for a Remote Controlled Robot in Wireless Links (무선링크에서 효과적인 로봇제어 데이터 전송 방법)

  • Cho Dong-Kwon;Chun Sang-Hun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.9A
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    • pp.878-883
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    • 2006
  • New emerging wireless broadband internet can make many broadband multimedia services. The networked intelligent mobile robot service is one of the new services. In the networked robot control, both the on-line real-time control and the reliability of control data transmission are very important. Considering the real-time control and data reliability, an efficient transmission method based on UDP protocol is proposed. The proposed method allocates the priority to the robot control data and the transmission of the robot data at the base station is carried out in duplicate manner. NS-2 simulation results show that the proposed scheme has a very low packet delay and low packet errors.

Reliability analysis of LNG unloading arm considering variability of wind load (풍하중의 변동성을 고려한 LNG 하역구조물의 신뢰성해석)

  • Kim, Dong Hyawn;Lim, Jong Kwon;Koh, Jae Pil
    • Journal of Korean Society of Steel Construction
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    • v.19 no.2
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    • pp.223-231
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    • 2007
  • Considering wind speed uncertainty, reliability analysis of the LNG unloading arm at Tongyoung Production Site was performed. Extreme distribution of wind speed was estimated from the data collected at the weather center and wind load was calculated using wind velocities and coefficients of wind pressure. The unloading arm was modeled with plate and solid elements. Contact elements were used to describe the interface between base of structure andground. Response surface for maximum effective stress was found for reliability analysis and then reliability functions was defined and used to determine exceeding probability of allowable and yield stresses. In addition, sensitivity analysis was also performed to estimate the effect of possible material deterioration in the future.

Bayesian model updating for the corrosion fatigue crack growth rate of Ni-base alloy X-750

  • Yoon, Jae Young;Lee, Tae Hyun;Ryu, Kyung Ha;Kim, Yong Jin;Kim, Sung Hyun;Park, Jong Won
    • Nuclear Engineering and Technology
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    • v.53 no.1
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    • pp.304-313
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    • 2021
  • Nickel base Alloy X-750, which is used as fastener parts in light-water reactor (LWR), has experienced many failures by environmentally assisted cracking (EAC). In order to improve the reliability of passive components for nuclear power plants (NPP's), it is necessary to study the failure mechanism and to predict crack growth behavior by developing a probabilistic failure model. In this study, The Bayesian inference was employed to reduce the uncertainties contained in EAC modeling parameters that have been established from experiments with Alloy X-750. Corrosion fatigue crack growth rate model (FCGR) was developed by fitting into Paris' Law of measured data from the several fatigue tests conducted either in constant load or constant ΔK mode. These parameters characterizing the corrosion fatigue crack growth behavior of X-750 were successfully updated to reduce the uncertainty in the model by using the Bayesian inference method. It is demonstrated that probabilistic failure models for passive components can be developed by updating a laboratory model with field-inspection data, when crack growth rates (CGRs) are low and multiple inspections can be made prior to the component failure.

Investigation of the Reliability of Knowledge Source in CLINAID using Fuzzy Relational Method (Fuzzy Relational Method를 이용한 CLINAID의 Knowledge Source 신뢰성 조사)

  • Noe, Chan-Sook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.2
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    • pp.222-230
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    • 2003
  • Once the medical knowledge-based system has been developed, it is essential to investigate the knowledge sources of the system because knowledge sources can affect the performance of the system in great deal. This paper presents the method and the results of the reliability test done on the medical knowledge-based system CLINAID. A knowledge source tested is Cardiovascular body system data used in CLINAID. The reliability test will be done by investigating structural relationships revealed by fuzzy relational method between the components of the knowledge sources of individual body systems using syndromes as its main component. These partitions are going to be compared with the syndromes elicited from the medical experts. This paper also reports the outcome of the computations using 7 implication operators performed on Cardiovascular body system data.