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열화되는 성능 파라메터를 가지는 시스템의 신뢰성 예측에 관한 연구
김연수(Yon Soo Kim),정영배(Young Bae Chung) 한국산업경영시스템학회 2015 한국산업경영시스템학회지 Vol.38 No.4
Due to advancements in technology and manufacturing capability, it is not uncommon that life tests yield no or few failures at low stress levels. In these situations it is difficult to analyse lifetime data and make meaningful inferences about product or system reliability. For some products or systems whose performance characteristics degrade over time, a failure is said to have occurred when a performance characteristic crosses a critical threshold. The measurements of the degradation characteristic contain much useful and credible information about product or system reliability. Degradation measurements of the performance characteristics of an unfailed unit at different times can directly relate reliability measures to physical characteristics. Reliability prediction based on physical performance measures can be an efficient and alternative method to estimate for some highly reliable parts or systems. If the degradation process and the distance between the last measurement and a specified threshold can be established, the remaining useful life is predicted in advance. In turn, this prediction leads to just in time maintenance decision to protect systems. In this paper, we describe techniques for mapping product or system which has degrading performance parameter to the associated classical reliability measures in the performance domain. This paper described a general modeling and analysis procedure for reliability prediction based on one dominant degradation performance characteristic considering pseudo degradation performance life trend model. This pseudo degradation trend model is based on probability modeling of a failure mechanism degradation trend and comparison of a projected distribution to pre-defined critical soft failure point in time or cycle.
김연수 ( Yon Soo Kim ) 대한설비관리학회 2020 대한설비관리학회지 Vol.25 No.4
Avionics is the electric and electronic component, item, or system required for military and civil aircraft. The reliability management and analysis of these components uses a method that uses a failure physics prediction method that is differentiated from the existing method. To such avionics items or systems, safety and reliability and cost-effectiveness should be secured. As the new generation avionics has more features and design advancements compared to predecessor systems, it will be increasingly complex to perform the reliability prediction of such systems and maintain the compliance towards safety requirements. This paper surveys and discusses the various standard, methodologies and challenges in performing reliability prediction of avionics systems during the life cycle of system from design phase to deployment. These results will help to identify the weak parts, elements and provide insight into the areas, which can be improved to enhance the inherent reliability of new generation system.
김연수(Yon-Soo Kim),정영배(Young-Bae Chung) 한국산업경영시스템학회 2012 한국산업경영시스템학회지 Vol.35 No.1
This paper presents a spreadsheet-based reliability prediction simulation framework for the conceptual product design stage to acquire system reliability information in timely manner. During early stage, reliability performance deals with both known and unknown failure rates and component-level and subsystem-level failure estimate to predict system reliability. A technique for performing life testing simulation using Excel spreadsheet has been developed under the such circumstances. This paper also discuss the results obtainable from this method such as reliability estimate, mean and variance of failures and confidence intervals. The resultant of this reliability prediction system is mainly benefitting small and medium-sized enterprise’s field engineers.
김연수 ( Yon Soo Kim ),정윤호 ( Yoon Ho Jung ),한강원 ( Kang Won Han ),주현수 ( Hyun Soo Joo ),조영관 ( Young Kwan Cho ),박진우 ( Jin Woo Park ),이석호 ( Suck Ho Lee ),김현철 ( Hyun Cheol Kim ),박성일 ( Sung Il Park ),정일권 ( Il 대한소화기학회 2004 대한소화기학회지 Vol.44 No.5
Splenic artery aneurysms are the most common visceral artery aneurysms, which are usually found incidentally. The most common complication of splenic artery aneurysms is spontaneous rupture into the peritoneal cavity, which leads to acute peritonitis and
김연수(Yon Soo Kim),정영배(Young-Bae Chung) 한국산업경영시스템학회 2014 한국산업경영시스템학회지 Vol.37 No.2
In industrial situation, electronic and electro-mechanical systems have been using different type of batteries in rapidly increasing numbers. These systems commonly require high reliability for long periods of time. Wider application of battery for low-power design as a prime power source requires us knowledge of failure mechanism and reliability of batteries in terms of load condition, environment condition and other explanatory variables. Battery life is an important factor that affects the reliability of such systems. There is need for us to understand the mechanism leading to the failure state of battery with performance characteristic and develop a method to predict the life of such battery. The purpose of this paper is to develope the methodology of monitoring the health of battery and determining the condition or fate of such systems through the performance reliability to predict the remaining useful life of primary battery with load condition, operating condition, environment change in light of battery life variation. In order to evaluate on-going performance of systems and subsystems adopting primary batteries as energy source, The primitive prototype for performance reliability analysis device was developed and related framework explained.
김연수(Yon Soo Kim),정영배(Young Bae Chung) 한국산업경영시스템학회 2007 한국산업경영시스템학회지 Vol.30 No.3
This paper presents the conceptual framework for estimating and predicting system’s susceptibility to failure as function of condition parameter value which is representing the current status of performance measure using on-line performance reliability. The performance of such system depends on one parameter with a probability distribution that degrades with time gracefully. Performance reliability represents the probability that physical performance will remain satisfactory over a finite period of time or usage cycles in the future. An empirical physical performance function is constructed to incorporate explanatory variables (operating and environmental conditions) over a time or usage dimension. This function enables one to model device performance and the associated classical reliability measures simultaneously, in the performance domain and time domain. The conditional performance reliability structure developed represents a tool to predict system performance over time or usage for next usage period. By enabling such a framework, it can bring us more efficient planning and execution in system’s operation control as well as maintenance to reduce costs and/or increase profits.