Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures

PAN Gang; SHANG Chao-xuan; LIANG Yu-ying; CAI Jin-yan; MENG Ya-feng

doi:10.3969/j.issn.0372-2112.2017.04.006

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Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures

更新时间：2025-07-16

- Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures
- Acta Electronica Sinica Vol. 45, Issue 4, Pages: 805-812(2017)
- 作者机构：
  
  1. 军械工程学院电子与光学工程系,河北,石家庄,050003
  2. 洛阳电子装备试验中心,河南,洛阳,471000
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61271153, No.61372039)
- DOI：10.3969/j.issn.0372-2112.2017.04.006
  CLC： N945TB114.3
- Published Online：25 April 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
PAN Gang, SHANG Chao-xuan, LIANG Yu-ying, et al. Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures[J]. Acta Electronica Sinica, 2017, 45(4): 805-812.
DOI：

PAN Gang, SHANG Chao-xuan, LIANG Yu-ying, et al. Reliability Evaluation of Radar Power Amplifier System in Case of Related Competing Failures[J]. Acta Electronica Sinica, 2017, 45(4): 805-812. DOI： 10.3969/j.issn.0372-2112.2017.04.006.

摘要

针对相关竞争失效场合难以获取高可靠部件的性能分布信息，无法对系统可靠性进行准确估计的问题.提出了相关竞争失效场合下考虑认知不确定性的多态系统可靠性评估方法.该方法首先通过假定部件突发失效阈值为递减型随机过程来表征累积退化与突发失效的相关性，同时为降低对部件认知不确定性的影响，假定冲击引起的部件性能损伤分布参数和突发失效参数均为区间变量，建立基于区间变量的部件性能分布模型；而后对传统的通用生成函数方法进行改进，给出了区间通用生成函数的定义及其运算法则；最后对某型雷达功率放大系统的可靠性进行分析.该方法不仅克服了部件的失效模式复杂、状态信息少的不足，且方法简单、思路清晰，具有很强的通用性和工程应用价值.

Abstract

Since it is difficult to obtain adequate performance distribution information of highly reliable components in case of related competing failures and system reliability problems cannot be accurately estimated

the multi-state system reliability evaluation method in consideration of epistemic uncertainty was proposed in case of related competing failures.Firstly

the components' sudden failure thresholds were assumed as a decreasing random process to represent the correlation between accumulative degradation and sudden failure.Secondly

in order to reduce the impact on the epistemic uncertainty of components

the components' performance distribution model based on interval variables was built on the assumption that the components' performance damage distribution parameter and sudden failure parameter caused by random shocks are interval variables.Thirdly

the traditional general generating function method was improved and the definition of general generating function and its algorithm were proposed.Finally

the reliability of the power amplifier of a radar system was analyzed.With simple and clear procedures

this method not only avoids the components' complex failure mode and less status information

but also features great universality and high engineering application value.

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