摘要
针对直升机旋翼结冰的特点,提出了一种主动式红外结冰探测的方法。该方法基于神经网络,通过测量不同冰层厚度的直升机旋翼桨叶结冰表面的红外激光反射系数,达到对直升机旋翼桨叶结冰表面结冰程度分类的目的。实验表明,该方法能够对直升机旋翼桨叶表面的结冰程度进行分类,并能做到准确判断的效果。
For the characteristics of helicopter rotor icing proposed an active infrared ice detection method.The method is based on neural networks,by measuring the thickness of different ice beneath the surface of a helicopter rotor blade icing infrared laser reflection coefficient,reaching a helicopter rotor blades on the ice surface,ice levels in purpose.The experimental results show that the method be able to freeze the surface of a helicopter rotor blades level of classification,and can be accurate to judge results.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2010年第10期121-125,共5页
Journal of Wuhan University of Technology
基金
国家自然科学基金航空联合基金项目(60975030)
关键词
结冰探测
直升机旋翼结冰
神经网络
结冰程度
红外式探测
ice detection
helicopter rotor icing
artificial neural networks
ice level
infrared detection