基于统计与模式识别的装备健康评估技术研究
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中国人民解放军92228部队,

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Research on equipment health assessment technology based on statisticcs and pattern recognition
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    摘要:

    岸防装备随着工作时间累积,其本身工作性能不可避免的会降低,装备的BITE系统可监测主要设备故障,但是对亚健康的性能状态,无法给出定性或定量的描述与评估。针对岸防装备其亚健康的性能状态无法定性和定量监测评估的问题,采用统计分析和模式识别的方法,结合具体评估对象、运行状态、事件等综合因素,通过评估部件级、分系统级、系统级状况,给出岸防装备各部件、分系统的故障、异变情况及其发展、波及效能,给出典型岸防装备整体健康状态评估结果,提出近期设备维护建议,为岸防装备保障特性提供方法支撑。

    Abstract:

    with the accumulation of working hours ,the performance of shore defense equipment will inevitably decrease ,the BITE system of equipment can monitor the failure of main equipment ,but it can not give qualitative or quantitative description and evaluation for sub-health performance.thesub health status of shore defense equipment can not be qualitatively and quantitatively monitored and evaluated .by means of statistical analysis and pattern recognition , combined with comprehensive factors such as specific evaluation objects ,operation status and events ,the status of components , subsystems and systems is evaluated . the failure ,variation and development of each component and subsystem of shore defense equipment are given ,the results of health status assessment of typical coastal defense equipment are given ,and some suggestions for near-term equipment maintenance are put forward to provide method support for the support characteristics of coastal defense equipment .

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孟祥辉,朱遴.基于统计与模式识别的装备健康评估技术研究计算机测量与控制[J].,2018,26(11):281-284.

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  • 收稿日期:2018-09-12
  • 最后修改日期:2018-09-12
  • 录用日期:2018-09-12
  • 在线发布日期: 2018-11-26
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