基于信息融合技术的装备故障诊断系统研究

Study of Fault Diagnosis System of Equipment Based on Information Fusion

武器装备及其运行环境的复杂性决定了其故障诊断也非常复杂,尽管随着检测、信号处理、智能技术的进步,故障诊断技术得到了很大的发展,但是目前的故障诊断技术仍存在很大的不确定性。运用信息融合技术的基本理论,针对武器装备故障诊断的特点与要求,提出了武器装备状态监测中多传感器信息和人工观测事实进行融合处理的方法,建立了基于信息融合的武器装备故障诊断系统流程,并对信息融合技术应用于武器装备状态的实时监测的应用前景进行了探讨。

Weapon equipment fault diagnosis is a field of research with much uncertainty. Nowadays diagnosis is always based on signature of single parameter like vibration, current, temperature, or chemical components. Because of the uncertainties of modeling environment and signal processing method, decisions we make are sometimes even wrong. Using theory and technology of multi-sensor information fusion, a decision-making method for weapon equipment fault diagnosis and a commonly structure of weapon equipment fault diagnosis and information disposal system based on fusion technology are proposed based on the characteristics and requirements of weapon equipment fault diagnosis. And then the prospect for the application of information fusion technology to the real time monitoring of weapon equipment condition is discussed.