基于人工免疫的直升机传动系统在线异常监测方法

 针对直升机在线监测时难以提取状态特征的问题，提出一种适用于直升机传动系统在线状态监测方法。该方法基于生物免疫系统反面选择机理，利用改进型反面选择算法并结合人工神经网络进行监测。该方法能有效地提取直升机传动系统的状态特征，并结合直升机传动系统的实际情况准确得出状态异常度。在线监测实例结果表明，该方法能较准确监测出直升机传动系统的异常状态，验证了该方法具有较好的在线性、准确性及鲁棒性。

On-line Monitoring Approach Based on Artificial Immune System for Transmission System of Helicopter

It is rather difficult to extract the state characters of helicopter from on-line monitoring, so a new approach which suits for on-line state monitoring of helicopter transmission system is presented. Based on the negative-selection mechanism of the natural immune system, the approach combined with artificial neural network adopts the improved negative selection algorithm for monitoring. The state characters of helicopter transmission system is extracted effectively through the new approach. Combined with the practice of helicopter transmission system, it can exactly reflect the abnormal degree of helicopter. The result of on-line monitoring example shows that the approach can exactly detect the degree of abnormality of helicopter transmission system and has better on-line quality, accuracy and robustness.