基于灰色模型和数据融合的导弹制导系统故障实时预测技术研究

Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) Pub Date : 2007-07-30 DOI:10.1109/SNPD.2007.18

Xinguo Wang, Aihua Li, Xiaoping Zhou, Hualong Xu

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引用次数: 3

摘要

针对导弹制导系统故障预测问题，提出了一种基于灰色系统和多传感器数据融合的故障预测方法。针对数据序列为零均值随机过程时灰色模型预测无效的缺点，提出了一种改进的灰色模型预测方法。仿真结果表明，该方法在导弹制导系统中具有较好的故障预测效果。

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Research of Real-time Forecast Technology in Fault of Missile Guidance System Based on Grey Model and Data Fusion

To solve fault forecast in missile guidance system, a new fault forecast method was presented, in which the grey system and multiple-sensor data fusion were used. Grey Model (GM) forecast is invalid when the data sequence is zero-mean random process, to overcome the drawback, present an improved GM method. The simulation results show the fault forecast method has better performance in missile guidance systems.

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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)

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