• 제목/요약/키워드: field failure data

검색결과 404건 처리시간 0.028초

충격신관 K510용 Zr-Ni계 지연관의 저장수명 예측 (Storage Lifetime Prediction of Zr-Ni Delay System in Fuze K510 for High Explosive Shell)

  • 박병찬;장일호;백승준;손영갑;정은진;황택성
    • 한국군사과학기술학회지
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    • 제12권6호
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    • pp.719-726
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    • 2009
  • A delay system in fuze for high explosive shell is an important safety device, but failure in the delay system usually causes failure of the shell. Root-cause analysis of failure in the delay system is required since failure in over 10-years stored delay system recently occurs. In this paper, failure in the delay system was reproduced experimentally to examine aged characteristics of the delay system, and the failed delay system shows the same characteristics as ones of failed delay systems in field. Based on the reproduced experiments, accelerated life testings and the data analysis of failure times of delay systems were performed to predict the storage lifetime.

SOFTWARE 신뢰성(信賴性) MODEL의 개발(開發)과 적용(適用)에 관한 연구(硏究) (Study on Development of Software Reliability Model and Application)

  • 김정자;조성건
    • 품질경영학회지
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    • 제19권1호
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    • pp.65-71
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    • 1991
  • According to characters of software, the methods of evaluating reliability are different. The purpose of this study was to develop application software used in the field and to set up reliability model which failure density was used so that in the process of test, developer and user may apply a point of time to field business and to apply developed model which real data use used.

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Applying a Forced Censoring Technique with Accelerated Modeling for Improving Estimation of Extremely Small Percentiles of Strengths

  • Chen Weiwei;Leon Ramon V.;Young Timothy M.;Guess Frank M.
    • International Journal of Reliability and Applications
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    • 제7권1호
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    • pp.27-39
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    • 2006
  • Many real world cases in material failure analysis do not follow perfectly the normal distribution. Forcing of the normality assumption may lead to inaccurate predictions and poor product quality. We examine the failure process of the internal bond (IB or tensile strength) of medium density fiberboard (MDF). We propose a forced censoring technique that closer fits the lower tails of strength distributions and better estimates extremely smaller percentiles, which may be valuable to continuous quality improvement initiatives. Further analyses are performed to build an accelerated common-shaped Weibull model for different product types using the $JMP^{(R)}$ Survival and Reliability platform. In this paper, a forced censoring technique is implemented for the first time as a software module, using $JMP^{(R)}$ Scripting Language (JSL) to expedite data processing, which is crucial for real-time manufacturing settings. Also, we use JSL to automate the task of fitting an accelerated Weibull model and testing model homogeneity in the shape parameter. Finally, a package script is written to readily provide field engineers customized reporting for model visualization, parameter estimation, and percentile forecasting. Our approach may be more accurate for product conformance evaluation, plus help reduce the cost of destructive testing and data management due to reduced frequency of testing. It may also be valuable for preventing field failure and improved product safety even when destructive testing is not reduced by yielding higher precision intervals at the same confidence level.

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품질코스트를 이용한 데이터 QC 활동의 자원할당 모형 연구 (A Resource Allocation Model for Data QC Activities Using Cost of Quality)

  • 이상철;신완선
    • 산업공학
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    • 제24권2호
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    • pp.128-138
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    • 2011
  • This research proposes a resource allocation model of Data QC (Quality Control) activities using COQ (Cost of Quality). The model has been developed based on a series of research efforts such as COQ classifications, weight determination of Data QC activities, and an aggregation approach between COQ and Data QC activities. In the first stage of this research, COQ was divided into the four typical classifications (prevention costs, appraisal costs, internal failure costs and external failure costs) through the opinions from five professionals in Data QC. In the second stage, the weights of Data QC activities were elicited from the field professionals. An aggregation model between COQ and Data QC activities has been then proposed to help the practitioners make a resource allocation strategy. DEA (Data Envelopment Analysis) was utilized for locating efficient decision points. The proposed resource allocation model has been validated using the case of Korea national defense information system. This research is unique in that it applies the concept of COQ to the data management for the first time and that it demonstrates a possible contribution to a real world case for budget allocation of national defense information.

항공기 전자장비의 신뢰성 예측 비교 연구 (A Study on Reliability Prediction Comparison of Aero Space Electronic Equipments)

  • 조인탁;이상천;김윤희
    • 산업공학
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    • 제25권4호
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    • pp.472-479
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    • 2012
  • Before an aircraft is delivered to customers, manufacturers have to verify required reliability for the aircraft. In usual, reliability of electronic equipments in military aircraft are predicted based on MIL-HDBK-217. But the specification has not been revised since 1995. Some alternatives including SR-332 and 217PLUS are suggested in this study. The processes and methods specified in MIL-HDBK-217 are compared with those of SR-332. Additionally, the predicted reliability of aircraft electronic equipment between usage data and field data are investigated using MIL-HDBK-217. The results show that predicted reliability of MIL-HDBK-217 is more conservative (underestimated) than that of usage data and field data.

RC-T형교의 비선형거동해석을 위한 하중분배법에 관한 연구 (A Study on the Method of Load Distribution for Nonlinear Behaviour in RC-T Bridge)

  • 임정순;김성칠;박성용
    • 한국구조물진단유지관리공학회 논문집
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    • 제2권1호
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    • pp.129-135
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    • 1998
  • The characteristic of load-distribution is investigated by using nonlinear analysis with a field loading test of existing bridge In this study, nonlinear load-distribution technique for quantitative analysis was adopted. The results were compared with linear solution technique with data from failure test at existing RCT-girder bridge and examine the adequacy of the failure mode. The results of this study showed that the linear solution technique and the proposed nonlinear solution technique agreed well in linear region but did not matched well in nonlinear region because of load-redistribution, and that the effect of load-redistribution was considered to analysis of nonlinear region by linear solution.

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A Causal Analysis of Conglomerate Bankruptcies

  • KU, Sang-Wuk;WHANG, Yun-Oh
    • 융합경영연구
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    • 제8권1호
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    • pp.12-19
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    • 2020
  • Purpose - Strategic causes for the failure include unrealistic growth, overexpansion, unfamiliar new markets, volume obsession, unrealistic promises and poor project selection. Organizational causes are insufficient capital and profits, lack of business knowledge, poor financial management, poor sales skills, inadequate marketing, poor leadership, poor leadership transfer, project losses, poor field performance and owner bankruptcy. Uncontrollable causes include industry and economic weakness and banking and surety changes. While helpful, the list provides insufficient clarity regarding the causal roots of failure. Research design, data and methodology - The research framework to organize the information involved with many of the recent and large failures in the industry. Results - This research then identified five dominant root causes - excessive egoism, poor strategic leadership, too much change, loss of discipline and inadequate capitalization. Conclusion - Finally, additional input from external forces may accelerate the firm's pace to failure. It is important on the development of diagnostic tools that are based on this model and that will provide new ways to assess a conglomerate's level of risk for incurring a financial crisis.

딥 러닝 기반 실시간 센서 고장 검출 기법 (Timely Sensor Fault Detection Scheme based on Deep Learning)

  • 양재완;이영두;구인수
    • 한국인터넷방송통신학회논문지
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    • 제20권1호
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    • pp.163-169
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    • 2020
  • 최근 4차 산업혁명의 핵심기술인 인공지능, 빅데이터, 사물인터넷의 발전으로 산업 현장에서 가동되는 기계의 자동화 및 무인화에 대한 연구가 활발히 진행되고 있다. 이러한 공정 기계들은 부착된 다양한 센서들로부터 수집된 데이터를 기반으로 제어되고 이를 통해 공정이 관리된다. 만약 센서에 고장이 발생한다면 센서 데이터 이상으로 인해 자동화 기계들이 오작동함으로써 공정 손실 발생뿐만 아니라 인명피해로도 이어질 수 있다. 전문가가 센서의 이상 여부를 주기적으로 확인하여 관리하고 있으나 산업 현장의 여러 가지 환경요인 및 상황으로 인하여 고장점검 시기를 놓치거나 고장을 발견하지 못하여 센서 고장으로 인한 피해를 막지 못하는 경우가 발생하고 있다. 또한 고장이 발생하여도 즉각 감지하지 못함으로써 공정 손실을 더욱 악화시키고 있는 실정이다. 따라서 이러한 돌발적인 센서 고장으로 인한 피해를 막기 위해 자체적으로 임베디드 시스템에서 센서의 고장 유무를 실시간으로 파악하고 빠른 대응을 위해 고장 진단 및 유형을 판별하는 것이 필요하다. 본 논문에서는 대표적인 센서 고장 유형인 erratic fault, hard-over fault, spike fault, stuck fault를 분류하기 위해 딥 뉴럴 네트워크 기반의 고장 진단 시스템을 설계하고 라즈베리 파이를 활용하여 구현하였다. 센서 고장 진단을 위해 구글이 제안한 MobilieNetV2의 Inverted residual block 구조를 사용하여 네트워크를 구성하였다. 본 논문에서 제안하는 방식은 기존 CNN 기법을 사용한 경우보다 메모리 사용량이 줄고 성능이 향상되며, 입력 신호에 대해 구간별로 센서 고장을 분류하여 산업 현장에서 효과적으로 사용될 것으로 기대된다.

FMECA를 통한 전차선로 가선시스템의 신뢰도 분석에 관한 연구 (A Study on Reliability Analysis of Electric Railway Catenary System using FMECA)

  • 윤응규;최규형
    • 전기학회논문지
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    • 제64권11호
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    • pp.1618-1625
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    • 2015
  • The reliability of catenary system is very important for uninterrupted train operation as it supplies electric power to train without redundant facilities. This paper provides a systematic approach to the reliability analysis of the catenary system based on FMECA procedures defined by global standards such as MIL Std 1692a and IEC 60812. Field failure data collected from the operation and maintenance of high-speed railway catenary system for 9 years are used to derive critical failure modes and to evaluate the criticality of the failure modes. Evaluation of the criticality are carried out by quantitative procedures defined by MIL Std 1692a and by criticality matrix defined by IEC 60812. FMECA results suggests that three critical failure modes should be checked carefully during maintenance work, which include strand break of dropper and voltage equalizing wire, power supply failure of feeder. Maintenance procedure of catenary system in order of importance is suggested too. These results can be applied to maintenance planning and design of catenary system to improve the reliability of electric railway system.

The Correlation between Mixture Distress and Strength of Bituminous Concretes

  • 김광우
    • 한국농공학회지
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    • 제32권E호
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    • pp.67-73
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    • 1990
  • Many distress mechanisms in pavement are known to be caused by the poor mechanical properties of bituminous concretes. Among many mechanical properties, tensile strength is one of the more important indicates that represent the resistance of pavement to traffic loading. However, there has been no relationship established between the strength and distress mechanisms. Therefore, this study was conducted to evaluate a correlation between the tensile strength value and the intensity of distress in bituminous concrete. Distress data were collected from an extensive field investigation over 77km of a four-lane highway in South Carolina, USA, and from laboratory prepared specimens in two phases of study. Strength data were obtained from a total of more than 400 field cores taken from the same highway and from 640marshall specimens of surface course mixture prepared in the laboratory. These data were analyzed using statistical test techniques. It was found from statistical analyses that the tensile strength of bituminous concrete had a strong relation with the pavement condition in the field. In the analysis of rutting and stripping, low strength concrete showed a higher distress rate in the mixture, and mixtures under distress in the field showed obviously reduced strength values. Stripping was found to be the most significant distress mechanism that was correlated with low strength bituminous concrete. Rutting appeared more frequently in a low strength pavement section of the highway as a sign of failure due to traffic loading.

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