一种基于数据驱动的执行机构健康管理技术研究  

Data-driven Health Management Methods for Actuators

作　　者：黄志毅[1] 刘小雄[1] 王娟[1] 章卫国[1] 

机构地区：[1]西北工业大学自动化学院,西安710072

出　　处：《计算机测量与控制》2012年第7期1800-1802,1805,共4页Computer Measurement &Control

摘　　要：应用健康管理方法可大大提高设备的安全和可靠性,针对飞机的执行机构,文章提出一种基于数据驱动的健康管理方法;首先根据电液伺服执行器的特点建立故障参数模型,然后应用动态k均值聚类算法进行故障特征提取,根据故障特征状况,应用模糊聚类方法进行健康状况评估,根据健康状况的发展划定健康等级,最后根据健康评估结果应用卡尔曼估计方法进行健康预测;仿真结果表明了算法的有效性。Abstract： In order to improve the equipment safety and reliability, a health management method based on a data--driven is proposed in the electro--mechanical actuators system. Firstly, an actuators fault parameters model is created according to the characteristics of the elec- tro-mechanical actuators. Then, the fault feature extraction and health situation assessment are analyzed by applying K--means and fuzzy clustering algorithm. Health prognostic is processed by applying the kalman filtering method, which based on the development of health situ- ation to divide the health degree and health assessment results. The simulation results demonstrate the proposed algorithm is effective for the system.

关 键 词：健康管理 数据驱动 电液伺服执行器 故障 

分 类 号：V279[航空宇航科学与技术—飞行器设计]