• 제목/요약/키워드: field failure data

검색결과 399건 처리시간 0.022초

필드고장을 이용한 신뢰성예측 프로그램 개발 (A Development of a Reliability Prediction Program Using the Field Failure)

  • 백재진;이광원
    • 한국자동차공학회논문집
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    • 제20권2호
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    • pp.1-7
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    • 2012
  • A Failure data from operating condition includes various failures. Reliability evaluation by operating condition is more correct than test condition. Additional, the evaluation result by operating condition is widely used for quality assurance, forecasting amount of manufacturing at EOL. To discover valuable things from the failure data, arrangement of the failure data and information technique to handle data is needed among many failure data. This paper introduces a reliability prediction program to solve this problem based on the failure. And new technologies for parameters estimation with method of Graphic-Wizard-Parameters-Estimation and Genetic Algorithm are introduced.

야전운용제원에 기반한 공군 OO유도탄 고장률 예측에 관한 연구 (A Study on the Prediction of Failure Rate of Airforce OO Guided Missile Based on Field Failure Data)

  • 박천규;마정목
    • 한국산학기술학회논문지
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    • 제21권7호
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    • pp.428-434
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    • 2020
  • 일회성 무기체계는 대기 상태로 있다가 단 한 번의 임무를 수행한 이 후 폐기되는 특성에 따라 높은 신뢰도를 요구받는다. 유도탄은 일회성 무기체계로써 특성상 저장 상태로 수명의 대부분을 보내고, 임무수행을 위한 운용시간은 짧기때문에 임무성공률이 아닌 저장 신뢰도로 분석해야 한다. 유도탄의 신뢰도를 분석할 때에 어떠한 방법을 사용하는지에 따라 그 결과는 달라질 수 있으며, 고장자료와 함께 포함되는 우측 관측중단자료의 비율에 따라서도 차이가 발생할 수 있다. 본 연구는 공군의 OO유도탄을 대상으로 미래의 고장률을 보다 정확하게 예측하기 위한 방법을 제시하고자 작성하였다. 제시하는 방법은 먼저 평균 고장시간(MTTF: Mean Time To Failure, 이하 MTTF)을 적용한 모델과 고장 간 평균시간(MTBF: Mean Time Between Failure, 이하 MTBF)을 적용한 모델로 고장률을 예측하고, 두 모델 중 실제 고장률과 차이가 작은 모델을 선택한다. 선택한 모델로 고장자료와 함께 포함되는 우측 관측중단자료의 비율을 달리하여 고장률을 예측하고, 실제 고장률과의 차이가 최소화되는 비율을 찾는다. 실제 자료를 바탕으로 제안한 비율과 현재 검사 비율의 비교를 통해 제안한 비율이 미래 고장률을 예측하기에 더 적합함을 보였다.

도시철도 실시간 모니터링 시스템 적용 사례 (Application of 5678SMRT Real-time Monitoring system)

  • 윤재관;박종헌;김기춘
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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    • pp.737-747
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    • 2011
  • 5678SMRT has installed various sensor for operating conditions(field of electric, facilities, signal, communication equipment and track) and environment of Every Function Room for remotely detecting and monitoring. Installed sound sensor for analyzed after remotely heard the noise of every equipment at Every Function Room and temperature sensor for check the temperature condition of Every Function Room. Additional installed voltage sensor in signal equipment room for monitoring RF track-circuit's voltage condition. Installed displacement sensor at The Chungdam bridge's railway for measuring and monitoring track displacement caused by temperature change and Pan/Tilt camera at sub-station and drainage for remotely field monitoring. Installed sensor for each equipment's operating condition and failure at Every Function Room then periodic check of workforce turned to around-the-clock surveillance by sensor therefore improvement of operating equipment. SMRT is lots of prevent a failure by Immediately detect of precondition of equipment failure by analyzed the sensor data. If the occurrence of an failure, become detected Immediately so possibility correct diagnosis and order by remotely field check by installed camera and sound sensor at field.

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Maximizing Mean Time to the Catastrophic Failure through Burn-In

  • Cha, Ji-Hwan
    • Journal of the Korean Data and Information Science Society
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    • 제14권4호
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    • pp.997-1005
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    • 2003
  • In this paper, the problem of determining optimal burn-in time is considered under a general failure model. There are two types of failure in the general failure model. One is Type I failure (minor failure) which can be removed by a minimal repair and the other is Type II failure (catastrophic failure) which can be removed only by a complete repair. In this model, when the unit fails at its age t, Type I failure occurs with probability 1 - p(t) and Type II failure occurs with probability p(t), $0{\leq}p(t)\leq1$. Under the model, the properties of optimal burn-in time maximizing mean time to the catastrophic failure during field operation are obtained. The obtained results are also applied to some illustrative examples.

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QFD와 고장메커니즘 분석에 의한 농기계부품의 신뢰성평가 (Reliability Estimation of Agricultural Machinery Components Based on QFD and Failure Mechanism Analysis)

  • 정원
    • 산업경영시스템학회지
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    • 제33권4호
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    • pp.209-217
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    • 2010
  • Reliability tools such as QFD and FMEA identify voice of customer related to product design, its use, how failures may occur, the severity of such failures, and the probability of the failure occurring. With these identified items, a development team can focus on the design process and the major issues facing the product in its potential use environment for the customer. The purpose of this research is to develop a reliability estimation process of agricultural machinery components using QFD, FMEA, and field failure data. Based on QFD method, customer requirements, engineering design elements and part characteristics were deployed. Using the field failure data, failures are investigated, and Weibull B10 life are estimated. This estimation process is useful for preparing the design input and planning the durability target.

해상초계기 주요 항공전자장비 신뢰도 성장 분석 및 운용가용도 시뮬레이션 (A Study on Reliability Growth of P-3 Essential Avionic Equipments and Operational Availability Simulation)

  • 박지훈;마정목
    • 한국군사과학기술학회지
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    • 제23권2호
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    • pp.168-175
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    • 2020
  • Failure of essential avionic equipments have a significant impact on the operations and safety of P-3 maritime patrol aircraft. Therefore, avionic equipments of P-3 are required to have higher reliability. Based on the field failure data, this paper studies the reliability growth of essential avionic equipments in P-3 using Duane model. Additionally, a simulation model is built and implemented for identifying the operational availability according to the field failure data of avionic equipments.

고장원인이 여럿인 제품의 사용현장 데이터 분석 (Field data analyses for products with multiple-modes of failure)

  • 배도선;최인수;황용근
    • 응용통계연구
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    • 제8권1호
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    • pp.89-104
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    • 1995
  • 사용현장에서의 고장데이터는 미리 정해진 보증기간동안 고장이 발생한 제품으로부터 얻어지는 고장시간, 고장원인, 설명변수값과 보증기간동안 고장나지 않는 제품 중 일정비율을 추적조사하여 얻은 설명변수 값들로 구성된다. 사용현장에서 얻어지는 이와 같은 데이터를 이용하여 제품수명분포의 모수가 설명변수와 대수선형관계일 때, 수명분포의 모수에 대한 의사(pseudo) 최우추정량을 구하고 그 점근성질을 규명하였으며, 고장원인별 제품수명이 와이블분포를 따를 때의 의사최우추정량과 점근분산을 구하였다. 제품의 보증기간이 달력시간이고 제품의 고장이 운영시간에 의존하는 경우와 제품의 보증이 달력시간과 운영시간의 혼합인 경우의 분석방법도 제시하였다. 또한 모의 실험을 통하여 추적조사비율에 따른 효과를 알아보았다.

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파괴조건식의 변환과 적용연구 (Transformation and Application of Failure Criteria)

  • 양형식
    • 터널과지하공간
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    • 제3권2호
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    • pp.163-166
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    • 1993
  • To improve the applicability of the Ho-Brown's empirical failure theory to field problems, transformation of failure coefficients was suggested in this study. This method was tested on the published data and good results were obtained. It seemed that this method be more reasonable than traditional method of modifying the coefficients by RMR or Q values.

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화강암-안산암 접촉부 대규모 사면의 붕괴 사례 연구 (A case study of large-scale slope failure in Granite - Andesite contact area)

  • 이수곤;양홍석;황의성
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2003년도 봄 학술발표회 논문집
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    • pp.503-508
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    • 2003
  • In this study, we peformed ahead a field geological investigation, boring investigation for slope stability analysis in large scale slope failure area. But the geological stratum was not clearly grasped, because ground was very disturbed by large scale Granite intrusion. Furthermore, the existing test data was not pertinent to the large scale Granite intrusion site like here. Therefore, various kind of field test were performed to grasp clearly for geological stratum. And the results of back analysis, various kind tests used to slope stability analysis.

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필드데이터에 의한 철도차량 신호장치 구성품의 최적 교체주기 결정에 관한 연구 (A Study on Determining the Optimal Replacement Interval of the Rolling Stock Signal System Component based on the Field Data)

  • 박병노;김경화;김재훈
    • 한국안전학회지
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    • 제38권2호
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    • pp.104-111
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    • 2023
  • Rolling stock maintenance, which focuses on preventive maintenance, is typically implemented considering the potential harm that may be inflicted to passengers in the event of failure. The cost of preventive maintenance throughout the life cycle of a rolling stock is 60%-75% of the initial purchase cost. Therefore, ensuring stability and reducing maintenance costs are essential in terms of economy. In particular, private railroad operators must reduce government support budget by effectively utilizing railroad resources and reducing maintenance costs. Accordingly, this study analyzes the reliability characteristics of components using field data. Moreover, it resolves the problem of determining an economical replacement interval considering the timing of scrapping railroad vehicles. The procedure for determining the optimal replacement interval involves five steps. According to the decision model, the optimal replacement interval for the onboard signal device components of the "A" line train is calculated using field data, such as failure data, preventive maintenance cost, and failure maintenance cost. The field data analysis indicates that the mileage meter is 9 years, which is less than the designed durability of 15 years. Furthermore, a life cycle in which the phase signal has few failures is found to be the same as the actual durability of 15 years.