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贮存状态下鱼雷故障发生时间估计方法 被引量:2

Failure time estimation method of torpedo in storage state
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摘要 在贮存状态下如何科学合理地估计鱼雷故障发生时间,是鱼雷武器贮存可靠性研究的一个重要问题。在分析其他武器装备现有的3种故障发生时间估计方法基础上,通过生成符合贮存状态下鱼雷故障规律的故障流,分别运用3种故障发生时间估计方法估计贮存状态下鱼雷故障发生时间,进而计算3种估计方法对应的贮存可用度偏差值,通过比较分析得出许多有益结论。实例计算表明,检测时间法不适用于鱼雷武器装备贮存可用度计算,等分内插法与等分中心内插法效果较好,而相比较而言,故障时间等分内插法效果更好,能够在工程上满足鱼雷贮存可靠性分析计算需要。 How to reasonably estimate torpedo failure time under storage state is an important problem in the research of storage reliability for torpedo. Based on the existing three failure time estimation methods which are used to analyse other weapons, by generating fault flow that fits torpedo failure law under storage state, the torpedo failure time is estimated by applying the tt^ree methods, respectively, Further the corresponding storage availability deviation values of three methods are calculated, and useful results are obtained through comparative analysis, An actual example presents that the inspect time method is not applicable for the calculation of torpedo storage reliability, while the equally divided interpolation method and the equally divided center interpolation method can produce good effects. In comparison, the equally divided interpolation method is better, and it can satisfy calculation demand of torpedo storage reality analysis in engineering.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2013年第9期2016-2020,共5页 Systems Engineering and Electronics
基金 海军预研基金项目(415147016)资助课题
关键词 鱼雷 故障时间 内插法 估计 torpedo failure time interpolation methodl estimation
作者简介 谢勇(1985-),男,博士研究生,主要研究方向为水中兵器可靠性鉴定与评估.E-mail:0401440332@163.com| 苑秉成(1950-),男,教授,主要研究方向为水中兵器声自导技术.E-mail:ybc1950@yahoo.com| 谢辉(1987-),女,工程师,硕士,主要研究方向为水中兵器测试技术.E-mail:0601xiehui@163.com
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  • 1Ebrahem M A H, Higgins J J. Non-parametric analysis of a pro portional wearout model for accelerated degradation data[J]. Al iped Mathematics and Computation, 2005, 174(1) : 365 - 373.
  • 2Olivier H, Dumbleton D, Zielnik A. An arrhenius approach to estimating organic photovoltaic module weathering acceleration factors[J]. Solar Energy Materials and Solar Cells, 2011, 95 (7) : 1889 - 1895.
  • 3Choi H, Seo W, Choi D. Prediction of reliability on thermoelectric module through accelerated life test and Physics-of-failure[J]. Elec- tronic Materials Letters, 2011, 7(3) : 271 - 275.
  • 4Evans J, Chen G M, Yans J. Development of acceleration fac tors for reliability testing of mechanical equipment[J]. Interna- tional Journal of Quality Engineering and Technology, 2014, 4(3) : 213 - 224.
  • 5Takada A, So N, Hajime I. A new acceleration factor decision method for ICCG method based on condition number[J]. IEEE Trans. on Magnetics, 2012, 48(2) : 519 - 522.
  • 6Ismail A A. Estimating the parameters of Weibull distribution and the acceleration factor from hybrid partially accelerated life test[J]. Applied Mathematical Modelling ,2012,36(7) :2920 - 2925.
  • 7Nagi G, Elwany A, Pan J. Residual hte predictions m the ab- sence of prior degradation knowledge[J]. IEEE Trans. on Reli- ability, 2009, 58(1): 106-117.
  • 8Eric M, Pan R, Christine A. A generalized linear model ap- proach to designing accelerated life test experiments[J]. Inter- national Quality and Reliability Engineering, 2011, 27 (4) : 595 - 607.
  • 9Zhang J P, Zhou T J, Wu H, et al. Constant stelystress acceler- ated life test of white OLED under weibull distribution case[J]. IEEE Trans. on Electronic Devices, 2012, 59(3) : 715 - 720.
  • 10Fan T, Hsu T. Accelerated life tests of a series system with masked interval data under exponential lifetime distributions[J]. IEEE Trans. on Reliability, 2012, 01(3): 798-808.

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