宇航计测技术

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基于改进BP算法的复杂武器系统健康状态评估

王爱亮1;郑玉航1;王爱丽2;宁梓呈1   

  1. 1、第二炮兵工程大学,西安 710025;
    2.、西安工程大学,西安 710048
  • 出版日期:2013-12-15 发布日期:2013-12-15
  • 作者简介:王爱亮(1981-),男,硕士研究生,主要研究方向:武器系统健康管理。

Evaluation of Health State for Complex Weapon System Based on Improved BP Arithmetic

WANG Ai-liang1;ZHENG Yu-hang1;WANG Ai-li2;NING Zi-cheng1   

  1. 1、The Second Artillery Engineering University, Xi′an 710025;
    2、Xi An Polytechnic University, Xi′an 710048
  • Online:2013-12-15 Published:2013-12-15

摘要: 根据复杂武器系统指标体系的确定原则:系统性原则、完整性原则、独立性原则、可比性原则、可操作性原则和定性与定量相结合的原则,建立了某复杂武器系统健康指标体系;分析了基本BP神经网络的优点及BP算法的缺陷,研究了一种改进的BP算法;建立了某复杂武器系统健康管理BP神经网络结构;对某复杂武器系统健康状态进行了评估,验证了指标体系的合理性。

关键词: 武器系统, 神经网络, 反向传播, 健康管理, 指标体系

Abstract: According to the principle of index system for weapon system: systemic principle, integrity principle, independence principle, the comparability principle, operational principle and the principle of combining qualitative with quantitative, the health index system of one complex weapon system is set up; the advantage of BPNN and the disadvantage of BP arithmetic is ananyzed, and one improved BP arithmetic is put forward; the BPNN structure of one complex weapon system is based; the health state of the complex weapon system is evaluated, and the rationality of index system is validated.

Key words: Weapon system, Neural network, Back propagation, Health management, Index system