基于智能材料结构的故障诊断技术

The Technique of Fault Diagnosis Based on Intelligent Material Structures

利用智能材料锆钛酸铅(PZT)的动态响应特性,对PZT驱动器施加一定频率的激励使被测构件产生振动的同时,采集和识别PZT传感器信号,获取正常及故障状态时的响应模型并建立故障识别数据库,然后用实际系统和故障识别数据库中的数据进行比较,从而确定系统是否发生故障及故障类别。

According to the dynamic response characteristic of piezoelectric (PZT) material, the PZT actuator executed exciting signal of particular frequency to vibrate the monitored component. At the same time, the signal of PZT sensor is collected and recognized to monitor its fault, obtain response model of normal and abnormal, and database of fault monitoring was built Then the data of actual component was compared with the data of database of fault monitoring to confirm if the component is abnormal and what type of the fault is.