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Volume 41 Issue 8
Aug.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(8): 1560-1566.
ZHANG Chuanliang, DAI Wei, LIANG Peidong, et al. Products early failure rate evaluation based on process information fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(8): 1560-1566. doi: 10.13700/j.bh.1001-5965.2014.0604(in Chinese)
Citation: ZHANG Chuanliang, DAI Wei, LIANG Peidong, et al. Products early failure rate evaluation based on process information fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(8): 1560-1566. doi: 10.13700/j.bh.1001-5965.2014.0604(in Chinese)
shu

Products early failure rate evaluation based on process information fusion

doi: 10.13700/j.bh.1001-5965.2014.0604
  • 1.

    School of Reliability and Engineering System, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. Beijing Research Institute of Radio Measurement, Beijing 100054, China

  • Received Date: 30 Sep 2014
  • Publish Date: 20 Aug 2015
    Abstract
  • To select the appropriate technology, the assessment of early failure rate of product was carried out. To make full use of multi-source information to evaluate the early failure rate of the product in quick response manufacturing mode, an assessment method based on process information fusion was put forward. Firstly, the model of early failure rate was established and the method of parameter estimation was provided. Secondly, based on the analyzing of the forming process of product reliability, the reasonable source that influenced the early failure rate of products in the manufacturing process was determined. And then, by comparing the similar degree of current processing finished products and similar products, different prior distributions were determined. Finally, the fused distribution of the failure rate was determined based on the information entropy. And the case study on reliability evaluation of radar phase-shift unit is demonstrated to prove the feasibility and effectiveness of the proposed method.

     

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    • References(15)
  • [1]
    范秀君, 许静林,张根保,等.数控机床早期故障消除技术[J].中国机械工程,2013,24(16):2241-2247. Fan X J,Xu J L,Zhang G B,et al.Technology of eliminating early failures for NC machine tool[J].Chinese Mechanical Engineering,2013,24(16):2241-2247(in Chinese).
    [2]
    Keller A Z, Beng C.Further applications of fuzzy logic to reliability assessment and safty analysis[J].Microelectronics Reliability,1989,29(3):399-404.
    [3]
    Rao S S, Reddy C P.Reliability analysis of machine tool structures[J].Journal of Engineering for Industry,1977,99(4):882-888.
    [4]
    Nelson W. Accelerated life testing-step-stress models and data analyses[J].IEEE Transaction on Reliability,1980,29(2):103-108.
    [5]
    谷振宇,何彦, 刘军.基于运行信息融合的大型设备视情维修系统[J].计算机集成制造系统,2010,16(10):2094-2100. Gu Z Y,He Y,Liu J.Condition-based maintenance system for large equipment based on running information fusion[J].Computer Integrated Manufacturing Systems,2010,16(10):2094-2100(in Chinese).
    [6]
    冯静,周经伦. 基于Bayes-模糊逻辑算子的小子样可靠性信息融合方法[J].航空动力学报,2008,23(9):1633-1636. Feng J,Zhou J L.Small-sample reliability information fusion approach based on Bayes-fuzzy logistic operator[J].Journal of Aerospace Power,2008,23(9):1633-1636(in Chinese).
    [7]
    Savchuk V P, Martz H F.Bayes reliability estimation using multiple sources of prior information:Binomial sampling[J].IEEE Trans on Reliability,1994,43(1):138-144.
    [8]
    Smets P. The transferable belief model for expert judgments and reliability problems[J].Reliability Engineering and System Safety,1992,38(1-2):59-66.
    [9]
    Zhang Q, Hua C,Xu G.A mixture Weibull proportional hazard model for mechanical system failure prediction utilising lifetime and monitoring data[J].Mechanical Systems and Signal Processing,2014,43(1-2):103-112.
    [10]
    Jó wiak I J. An introduction to the studies of reliability of systems using the Weibull proportional hazards model[J].Microelectronics Reliability,1997,37(6):915-918.
    [11]
    Jardine A K S, Anderson P M,Mann D S.Application of the Weibull proportional hazards model to aircraft and marine engine failure data[J].Quality and Reliability Engineering International,1987,3(2):77-82.
    [12]
    张根保,唐贤进, 廖小波,等.数控机床故障率分布曲线定量化建模及应用[J].重庆大学学报,2013,36(6):119-123. Zhang G B,Tang X J,Liao X B,et al.Quantitative modeling and application of CNC machine failure distribution curve[J].Journal of Chongqing University,2013,36(6):119-123(in Chinese).
    [13]
    Tillmann S, Robert L K T.Quantifying qualitative information on risks:Development of the QQIR method[J].Journal of Construction Engineering and Management,2009,135(1):56-71.
    [14]
    蒋平. 机械制造的工艺可靠性评估[D].长沙:国防科学技术大学,2010. Jiang P.Research on process reliability for manufacturing[D].Changsha:National University of Defense Technology,2010(in Chinese).
    [15]
    Yager R R. Measures of entropy and fuzziness related to aggregation operators[J].Information Sciences,1995,82(3-4):147-166.
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