• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.50 no.9
• /
• pp.627-638
• /
• 2022

This paper discusses the utilization of fault-tolerant technology in the industry by analyzing the status of drone failures in the unmanned vehicle industry survey conducted in 2020. Based on the survey results of the domestic unmanned vehicle industry, we identify subsystems with high fault rates and high severity when faults occur. In addition, fault simulations of the identified subsystems are conducted to analyze the effect of the fault on the vehicles. After that, the fault diagnosis and fault compensation methods studied so far are reviewed, and research cases of the methods are examined. Moreover, the ways to apply it to actual fault cases in the unmanned vehicle industry are debated. Furthermore, based on the previous discussion, the fault-tolerant system is presented, and the consideration when designing the fault-tolerant system in the industry are studied.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.12A
• /
• pp.1904-1911
• /
• 2000

IDDQ 테스팅은 CMOS에서 발생 빈도가 가장 높은 합선고장을 효과적으로 검출할 수 있는 기법이다. 본 논문에서는 테스트 대상 회로의 게이트간에 발생 가능한 모든 단락을 고려하여, 이러한 결함을 효과적으로 검출하기 위한 테스트 패턴 생성기와 고장 시뮬레이터를 구현하였다. 구현된 테스트 패턴 생성기와 고장 시뮬레이터는 O(n2)의 복잡도를 가지는 합선고장을 효과적으로 표현하기 위한 기법과 제안된 테스트 패턴 생성 알고리즘 및 고장 collapsing 알고리즘을 이용하여 빠른 고장 시뮬레이션 수행시간과 높은 고장 검출률을 유지하면서 적은 수의 테스트 패턴의 생성이 가능하다. ISCAS 벤치마크 회로에 대한 실험을 통하여 기존의 다른 방식보다 성능이 우수함을 보여주었다.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.335-342
• /
• 2013

In this study, reliability software cost model considering logarithmic fault detection rate based on observations from the process of software product testing was studied. Adding new fault probability using the Goel-Okumoto model that is widely used in the field of reliability problems presented. When correcting or modifying the software, finite failure non-homogeneous Poisson process model. For analysis of software cost model considering the time-dependent fault detection rate, the parameters estimation using maximum likelihood estimation of inter-failure time data was made. In this research, Software developers to identify the best time to release some extent be able to help is considered.

• Journal of the Korea Computer Industry Society
• /
• v.6 no.5
• /
• pp.689-696
• /
• 2005

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the Kappa(2) reliability model, which can capture the nomotonic decreasing nature of the failure occurrence rate per fault. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on sum of the squared errors and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using real data set, SYS2(Allen P.Nikora and Michael R.Lyu), for the sake of proposing two parameter of the Kappa distribution, was employed. This analysis of failure data compared with the Kappa model and the existing model using arithmetic and Laplace trend tests, bias tests is presented.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.1 s.39
• /
• pp.45-53
• /
• 2006

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the $x^2$ reliability model, which can capture the increasing nature of the failure occurrence rate per fault. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE, AIC statistics and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using real data set, SYS2(Allen P.Nikora and Michael R.Lyu), for the sake of proposing shape parameter of the $x^2$ distribution using the degree of freedom, was employed. This analysis of failure data compared with the $x^2$ model and the existing model using arithmetic and Laplace trend tests, Kolmogorov test is presented.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.7
• /
• pp.428-434
• /
• 2020

The one-shot weapon system is destroyed after only one mission. So, the system requires high reliability. Guided missiles are one-shot weapon systems that have to be analyzed by storage reliability since they spend most of their life in storage. The analysis results depend on the model and the ratio of correct censored data. This study was conducted to propose a method to more accurately predict the future failure rate of Air force guided missiles. In the proposed method, the failure rate is predicted by both MTTF (Mean Time To Failure) and MTBF (Mean Time Between Failure) models and the model with a smaller error from the real failure rate is selected. Next, with the selected model, the ratio of correct censored data is selected to minimize the error between the predicted failure rate and the real failure rate. Based on real field data, the comparative result is determined and the result shows that the proposed sampling rate can predict the future failure rate more accurately.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10a
• /
• pp.24-26
• /
• 1998

멀티미디어 서버를 구성하고 있는 자원(프로세서, 디스크, 네드워크 등)의 결함 발생을 고려한 큐잉 네트워크 모델을 개발하였다. 이를 적용하여 고객 수용 능력 및 멀티미디어 서비스 시스템의 성능과 관련된 파라미터를 분석하였으며, 시뮬레이션 패키지를 활용한 모의 실험을 통하여 개발된 큐잉 네트워크 모델의 정확성을 검증하였다. 고객 도착률과 자원 고장률 변동에 대한 서버 자원의 이용률과 큐의 길이를 계산함으로써 효율적인 시스템 구성 자원의 부분별 용량 산정이 가능하게 되었으며, 또한 데이터 패킷 응답시간 분초 및 고장률 변화에 따른 시스템의 신뢰도 수준을 계산하였고, 이러한 성능 관련 파라미터의 확보를 통해서 멀티미디어 서비스 질 (Quality of Service)에 중요한 영향을 미치는 서버 설계 요소를 파악할 수 있었다.

• Proceedings of the Korean Information Science Society Conference
• /
• 1999.10c
• /
• pp.593-595
• /
• 1999

고가용성 시스템의 소프트웨어 재활 기법은 시스템의 결함 발생 이후에 수동적으로 대처하기보다는 결함이 발생하기 전에 이를 미연에 방지하는 능동적 차원의 결함 허용 방법이다. 본 연구에서는 서버에서 수행되는 소프트웨어의 재활 주기, 재활 소요시간, 서버의 고장률, 수리률, 동시에 가동되는 서버의 수, 서버의 가동 기간 및 가동 방식등의 시스템 운영 파라미터에 기초하여, 소프트웨어 재활 정책에 대한 평가를 위한 평형상태에서의 확률, downtime, 가용도, 손실 비용 등을 계산하였다. 수학적 분석을 통해 구한 재활 모델의 closed-form 해는 다양한 시스템 운영 상태에 대한 실험을 통해 검증하였으며, 소프트웨어 재활을 통한 재활 모델의 closed-form 해는 다양한 시스템 운영 상태에 대한 실험을 통해 검증하였으며, 소프트웨어 재활을 통한 예방적 결함허용 기법의 적용 가능성이 높다는 것을 확인하였다. 또한 서버의 고장률 및 불안정률이 소프트웨어 재활 정책결정에 중요한 요소임을 파악하였다.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.34 no.9
• /
• pp.1281-1286
• /
• 2010

Power plants have many components and equipment. It is difficult for operators to know the time of failure or the equipment that fails. Plants incur heavy economic losses due to unexpected failure. The equipment in power plants is constantly monitored by various sensors and instruments. However, prevention of failure is very difficult. Therefore, engineers are developing many types of failure-alarm systems that can detect the abnormal functioning of equipment. Such failure-alarm systems inform only about the abnormal functioning of equipment and do not indicate the cause of failure or the parts that have failed. In this study, we have developed a failure-prediction system that can provide details on the cause of trouble and the maintenance method.

• Journal of the Korea Society of Computer and Information
• /
• v.10 no.6 s.38
• /
• pp.27-36
• /
• 2005

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates Per fault. This Paper Proposes reliability model using the generalized gamma distribution, which can capture the monotonic increasing(or monotonic decreasing) nature of the failure occurrence rate per fault. Equations to estimate the parameters of the generalized gamma finite failure NHPP model based on failure data collected in the form of interfailure times are developed. For the sake of proposing shape parameter of the generalized gamma distribution, used to the special pattern. Data set, where the underlying failure process could not be adequately described by the knowing models, which motivated the development of the gamma or Weibull model. Analysis of failure data set for the generalized gamma modell, using arithmetic and Laplace trend tests . goodness-of-fit test, bias tests is presented.