• Title/Summary/Keyword: Mean time to failure

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Analysis of failure rate according to capacitor position of bidirectional converter (양방향 컨버터의 커패시터 위치에 따른 고장률 분석)

  • Kim, Ye-rin;Kang, Feel-soon
    • Journal of IKEEE
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    • v.23 no.1
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    • pp.261-265
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    • 2019
  • We analyze the failure rate change of a conventional bidirectional converter and a modified one which moves an output capacitor towards propulsion battery. We analysis of the circuit structural homogeneity and the difference between both converters, and confirm that the capacitor working voltage is reduced by changing the capacitor position. After obtaining the capacitor failure rate according to voltage stress factor and operating temperature, it is applied to the fault-tree of the bidirectional converter to obtain the overall failure rate of the converter. We analyzes the advantages and disadvantages of design changes by comparing and analyzing the failure rate and mean time between failures (MTBF) according to operating temperature and capacitance value.

Clinical Analysis of Surgery for Aortic Disease (대동맥 질환 수술의 임상적 고찰)

  • 안정태
    • Journal of Chest Surgery
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    • v.28 no.10
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    • pp.906-911
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    • 1995
  • From January 1991 to January 1995, 11 patients with aortic diseases underwent various surgical repairs. The age at operation ranged from 26 years to 63 years[ mean=50.9 years . The disease entities included 8 aortic dissections[ type I in 4, type II in 2 and type III in 2 cases , 2 Marfan`s syndrome with annuloaortic ectasia and 1 desecending thoracic aortic aneurysm The operative procedures we tried were 3 Bentall`s operation, 5 graft replacement of ascending aorta, and 3 graft interposition in descending thoracic aorta.Overall hospital mortality rate is 36.3%[4/11 . And causes of death are pump weaning failure in 2 cases and multiorgan failure in 2 cases. It was that 2 sternal dehiscence & mediastinitis, 1 acute renal failure, 2 hypoxic brain damages and 2 postoperative psychosis were complicated. Recently we tried surgical repair of aortic dissection five out of 6 cases using total circulatory arrest with deep hypothermia at 14$^{\circ}C$. Total circulatory arrest time ranged from 18 to 26 minutes[ mean 22.2 minutes , and mean aortic cross-clamping time was 48.2 minutes. One of 5 patient died on the 7th postoperative day due to multiorgan failure. Mortality of patients with TCA was 20%[1/5 , and it of remainders was 50%[3/6 . Our result for surgical repair using total circulatory arrest with deep hypothermia is satisfactory on the basis of our clinical data.

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A Discrete Time Approximation Method using Bayesian Inference of Parameters of Weibull Distribution and Acceleration Parameters with Time-Varying Stresses (시변환 스트레스 조건에서의 와이블 분포의 모수 및 가속 모수에 대한 베이시안 추정을 사용하는 이산 시간 접근 방법)

  • Chung, In-Seung
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1331-1336
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    • 2008
  • This paper suggests a method using Bayesian inference to estimate the parameters of Weibull distribution and acceleration parameters under the condition that the stresses are time-dependent functions. A Bayesian model based on the discrete time approximation is formulated to infer the parameters of interest from the failure data of the virtual tests and a statistical analysis is considered to decide the most probable mean values of the parameters for reasoning of the failure data.

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The Study for Software Future Forecasting Failure Time Using ARIMA AR(1) (ARIMA AR(1) 모형을 이용한 소프트웨어 미래 고장 시간 예측에 관한 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • Convergence Security Journal
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    • v.8 no.2
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    • pp.35-40
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    • 2008
  • Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. The used software failure time data for forecasting failure time is random number of Weibull distribution(shaper parameter 1, scale parameter 0.5), Using this data, we are proposed to ARIMA(AR(1)) and simulation method for forecasting failure time. The practical ARIMA method is presented.

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Evaluation of Reliability for critical unit of machinery system (기계류 핵심 유니트의 신뢰성 평가기술)

  • 이승우;송준엽;강재훈;황주호;이현용;박화영
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.1014-1017
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    • 2000
  • Reliability engineering is regarded as the major and important roll for all industry. And advanced manufacturing systems with high speed and intelligent have been developed for the betterment of machining ability. In this study, we have systemized evaluation of reliability for machinery system. We proposed the reliability assessment and design review method using analyzing critical units of high speed and intelligent machine system. In addition, we have not only designed and developed test bed system for acquiring reliability data, but also have constructing WEB system for suppling reliability which is provided in design phase. From this study, we will expect to guide and introduce the reliability engineering in developing and processing phase of high quality product.

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Review on RAM Data Management to Urban Maglev Transit (자기부상열차 RAM DATA 관리방안)

  • Lee, Chang-Deok;Kang, Chan-Yong
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.191-196
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    • 2007
  • This paper is reviewed RAM(Reliability, Availability and Maintainability) data table utilized for RAM data management to Urban Maglev Transit. As railway systems become more complex, the RAM requirements are reinforced to ensure that a design meets Reliability, Availability, Maintainability criteria. Therefore, it needs the efficient management for RAM data of railway system to meet RAM target. At this study, RAM data management format is suggested to ensure reliability and maintainability based on acquired experience for overseas rolling stock. This RAM data table and FMECA(Failure Mode Effect Criticality Analysis) table are useful to the calculation of MTBF(Mean Time Between Failure), MTBSF(Mean Time Between Service Failure) and Maintainability. Also, this RAM management table will be efficient to improve the RAM evaluation to Urban Maglev Transit.

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A Study on the Reliability Analysis for the High Precision Pneumatic Actuator within Tape Feeder (테이프 피더 내장 공압 액추에이터에 대한 신뢰성 평가에 관한 연구)

  • Choi Jin-Hwa;Jeon Byung-Cheol;Cho Myeong-Woo;Kang Sung-Min;Lee Soo-Jin
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.4
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    • pp.63-68
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    • 2006
  • This research presents the reliability analysis of the pneumatic actuator within the tape feeder that is used to transfer the correct force to linked parts during l.0E+7 cycles. First, the degradation analysis for thrust and air leakage is executed to obtain the failure data of a product based on its performance over time. Second, once the parameters has been calculated using the weibull 2-parameter distribution and MLE(Maximum Likelihood Estimation), information related to life such as reliability, failure rate, probability density function is estimated. Finally, MTTF(Mean Time To Failure) and $B_{10}$ life of actuators are calculated. MTTF means the mean life at the confidence level and $B_{10}$ life refers to the time by which 10% of the product would fail. In this study, failure causes and solutions are examined using the reliability analysis.

On the Exact Cycle Time of Failure Prone Multiserver Queueing Model Operating in Low Loading (낮은 교통밀도 하에서 서버 고장을 고려한 복수 서버 대기행렬 모형의 체제시간에 대한 분석)

  • Kim, Woo-Sung;Lim, Dae-Eun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.2
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    • pp.1-10
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    • 2016
  • In this paper, we present a new way to derive the mean cycle time of the G/G/m failure prone queue when the loading of the system approaches to zero. The loading is the relative ratio of the arrival rate to the service rate multiplied by the number of servers. The system with low loading means the busy fraction of the system is low. The queueing system with low loading can be found in the semiconductor manufacturing process. Cluster tools in semiconductor manufacturing need a setup whenever the types of two successive lots are different. To setup a cluster tool, all wafers of preceding lot should be removed. Then, the waiting time of the next lot is zero excluding the setup time. This kind of situation can be regarded as the system with low loading. By employing absorbing Markov chain model and renewal theory, we propose a new way to derive the exact mean cycle time. In addition, using the proposed method, we present the cycle times of other types of queueing systems. For a queueing model with phase type service time distribution, we can obtain a two dimensional Markov chain model, which leads us to calculate the exact cycle time. The results also can be applied to a queueing model with batch arrivals. Our results can be employed to test the accuracy of existing or newly developed approximation methods. Furthermore, we provide intuitive interpretations to the results regarding the expected waiting time. The intuitive interpretations can be used to understand logically the characteristics of systems with low loading.

Stochastic Properties of Life Distribution with Increasing Tail Failure Rate and Nonparametric Testing Procedure

  • Lim, Jae-Hak;Park, Dong Ho
    • Journal of Applied Reliability
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    • v.18 no.3
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    • pp.220-228
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    • 2018
  • Purpose: The purpose of this study is to investigate the tail behavior of the life distribution which exhibits an increasing failure rate or other positive aging effects after a certain time point. Methods: We characterize the tail behavior of the life distribution with regard to certain reliability measures such as failure rate, mean residual life and reliability function and derive several stochastic properties regarding such life distributions. Also, utilizing an L-statistic and its asymptotic normality, we propose new nonparametric testing procedures which verify if the life distribution has an increasing tail failure rate. Results: We propose the IFR-Tail (Increasing Failure Rate in Tail), DMRL-Tail (Decreasing Mean Residual Life in Tail) and NBU-Tail (New Better than Used in Tail) classes, all of which represent the tail behavior of the life distribution. And we discuss some stochastic properties of these proposed classes. Also, we develop a new nonparametric test procedure for detecting the IFR-Tail class and discuss its relative efficiency to explore the power of the test. Conclusion: The results of our research could be utilized in the study of wide range of applications including the maintenance and warranty policy of the second-hand system.

A Study on the Failure and Life Assessment of High Speed Spindle (고속주축의 고장 및 수명평가에 관한 연구)

  • Lee, Tae Hong
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.1
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    • pp.67-73
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    • 2014
  • A reliability evaluation or prediction can be defined as MTBF which stands for mean time between failures (Exclusively for repairable failures). Spindle system has huge 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, it is unusually difficult to predict reliability because there are lack of data and research about reliability of spindle system. Standards and methods of examinations for reliability evaluation of machine tools are scarce at local and abroad as well. Therefore, this research is meant to improve the reliability of spindle system before mass produced with developing standards of reliability and methods of examinations through FMEA to assess reliability of spindle system in prototype stages of developing high speed spindle system of machining center.