• Journal of the Korean Society for Railway
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• v.18 no.3
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• pp.186-193
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• 2015

In this paper, a reliability growth analysis for a next-generation high-speed train was conducted. First, the high-speed train was decomposed into 6 sub-systems and main equipment of the high-speed train was derived from functional diagrams. Next, failure rates were calculated for each sub-system from the failure data obtained during commissioning tests. Then, reliability growth analysis was conducted for the high-speed train using the Duane model. The results show that activities to increase reliability were carried out throughout the test runs from the reliability growth results.

• Journal of Yeungnam Medical Science
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• v.6 no.2
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• pp.127-132
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• 1989

The upshoot and downshoot in Duane's retraction syndrome is believed to be related to a leash effect from the lateral rectus muscle. When the eye is rotated into the adducted position, the lateral rectus muscle slips over the globe, producing the up-and downshoot on adduction. The splitting of the ends of the lateral rectus into a Y configuration prevents the rotation of the globe up or down by stabilizing the muscle's position on the eye. Three patients with Duane's retraction syndrome demonstrated abnormal vertical movement on adduction and underwent a Y-splitting on the lateral rectus. In all patients, marked decrease in the up-and downshoot is noted after surgery.

• Journal of Applied Reliability
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• v.15 no.2
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• pp.90-100
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• 2015

Reliability growth rate (or reliability growth curve slope) have the two cases of trend as a constant or changing one during the reliability growth testing. The changing case is very common situation. The reasons of reliability growth rate changing are that the failures to follow the NHPP (None-Homogeneous Poisson Process), and the solutions implemented during test to break out other problems or not to take out all of the root cause permanently. If the changing were big, the "Goodness of Fit (GOF)" of reliability growth curve to test data would be very low and then reduce the accuracy of assessing result with test data. In this research, we are using Duane model and AMSAA model for assessing test data and projecting the reliability level of complex and repairable system as like construction equipment and vehicle. In case of no changing in reliability growth rate, it is reasonable for reliability engineer to implement the original Duane model (1964) and Crow-AMSAA model (1975) for the assessment and projection activity. However, in case of reliability growth rate changing, it is necessary to find the method to increase the "GOF" of reliability growth curves to test data. To increase GOF of reliability growth curves, it is necessary to find the proper parameter calculation method of interesting reliability growth models that are applicable to the situation of reliability growth rate changing. Since the Duane and AMSAA models have a characteristic to get more strong influence from the initial test (or failure) data than the latest one, the both models have a limitation to contain the latest test data information that is more important and better to assess test data in view of accuracy, especially when the reliability growth rate changing. The main objective of this research is to find the parameter calculation method to reflect the latest test data in the case of reliability growth rate changing. According to my experience in vehicle and construction equipment developments over 18 years, over the 90% in the total development cases are with such changing during the developing test. The objective of this research was to develop the newly assessing method and the process for GOF level increasing in case of reliability growth rate changing that would contribute to achieve more accurate assessing and projecting result. We also developed the new evaluation method for GOF that are applicable to the both models as Duane and AMSAA, so it is possible to compare it between models and check the effectiveness of new parameter calculation methods in any interesting situation. These research results can reduce the decision error for development process and business control with the accurately assessing and projecting result.

• Electrical & Electronic Materials
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• v.16 no.1
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• pp.59.1-59
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• 2003

• 한국지구물리탐사학회:학술대회논문집
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• 2009.10a
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• pp.110-112
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• 2009

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.4
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• pp.46-52
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• 2002

Due to the administrative expand and the paradigm shift in global environments, the range for the enterprises assessment are now expanding to inclusive administration assessment including all kinds of accidents in work places as well as products and services. Therefore continuous investment and concern to safety and health are needed since some faults in safety and health lead to the enormous expense as well as decline of brand image. In this paper, n are concerned with the safety administration in industrial field and analyze the accident data, before and after the establishment of specialized organization for accident prevention, using the reliability growth model of Duane. The validity of the model is verified under the assumptions of NHPP(non-homegeneous Poisson process) of the accidents.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.167-170
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• 2008

$Reflex^{TM}$ display technology based on bistable, reflective, and flexible Cholesteric Liquid Crystal Displays is being developed and mass produced for new and non-traditional applications. These applications allow for personalization of mobile devices, very low cost display systems, and more. This display technology, its status, and new applications are discussed in this paper.

• Communications for Statistical Applications and Methods
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• v.10 no.1
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• pp.203-210
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• 2003

In a standard Metropolis-type Monte Carlo simulation, the proposal distribution cannot be easily adapted to "local dynamics" of the target distribution. To overcome some of these difficulties, Duane et al. (1987) introduced the method of hybrid Monte Carlo(HMC) which combines the basic idea of molecular dynamics and the Metropolis acceptance-rejection rule to produce Monte Carlo samples from a given target distribution. In this paper, using the HMC within Gibbs sampler, an asymptotical estimate of the smoothing mean and a general solution to state space modeling in Bayesian framework is obtaineds obtained.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.269-276
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• 2004

Special, high technology developments and systems improvements become more necessary as the industrial society is becoming complex. When some systems are developed, it is common that developed systems have low-reliability in infant period. Some developed systems need tests to improve their reliability up to the respected level before adapting them. This paper aims at showing the testing program including the reliability growth model for reliability improvement of the Light Rail Transit

• Journal of Applied Reliability
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• v.14 no.2
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• pp.129-136
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• 2014

Reliability test is focusing to detect the unexpected reliability failure and solve them for the high quality of products. The test data should be used to assess and project the current level of interesting product reliability and so it is very important to have the accurately assessing methodology with test data. There are two type of trend for test data as constant and changing one during testing and this paper shows the difference in the assessing results of these two cases. There is less information how to define the existence of reliability growth rate changing and calculate the parameters of the reliability growth models to make an accurate assessment with such condition, so i established the process and mathematical model to calculate the parameters at such condition to make reliability growth curve with high Goodness of Fit. I validated the new method with the data made from Monte Carlo Simulation and case from Demko (1993). Even the assessed result with the new methodology may be different with the case by case because of very diversity in test condition and testing product quality, but the process and method founded in this research can be applied to any case using Duane and AMSAA model for their test data assessment. I also present the evaluation method to see the effectiveness with new one which is a conventional knowledge and not popular to use, so it is possible to compare the results with the newly presented and conventional method for better business decision.