近场声全息技术在电机轴肋板故障检测中的应用  

Application of near field acoustic holography in fault detection of motor shaft floor

作　　者：张文 刘娟[2] 杜崇杰[3] 赵思博[4] 王震洲[2] 

机构地区：[1]乐亭县气象局,河北唐山063600 [2]河北科技大学信息科学与工程学院,河北石家庄050018 [3]国家电网河北省电力公司,河北石家庄050022 [4]河北科技大学材料科学与工程学院,河北石家庄050018

出　　处：《河北工业科技》2016年第5期428-432,共5页Hebei Journal of Industrial Science and Technology

基　　金：河北省科技支撑计划项目(16273705D)

摘　　要：机械设备的安装环境随需求的变化而变化。为了实现电机轴肋板在各种工况下的故障检测,通过采集电机工作时肋板的振动信息,采用图像处理的方法,将故障下的特征向量与标准正常状态下的特征向量对比后进行分类,从而辨识出故障的类别。通过模拟仿真和实验两种方式对声成像方法进行验证,证明了其正确性和普遍适应性。声成像检测方法,不仅解决了检测机械设备的传感器在某些工作环境中安装不便的问题,而且进一步提高了故障检测的准确性。The installation environment of mechanical equipment varies with demands. In order to realize fault detection of the motor shaft floor under various conditions,the vibration information of the motor shaft floor is collected when motor works, and by the method of image processing, the eigenvector under fault condition and the eigenvector under normal condition are compared and classified,so that the fault category is known, the method is verified by simulation and experiment,respectively, and the correctness and general adaptation of the method are proved. The acoustic imaging detection method not only solves the problem that the sensor is constantly installed in some working environment, but also improves the accuracy of fault detection.

关 键 词：电机学 故障诊断 波束形成 模式识别 近场声全息 特征提取 

分 类 号：TM07[电气工程—电工理论与新技术]