摘要
为实现更加迅速、误差更小、覆盖率更高的机电设备复合故障定位,引入无线传感器技术,优化设计机电设备复合故障定位方法。设计无线传感器数据采集网络,无线传感器数据采集网络由协调器节点、路由节点、电流传感器节点等构成,基于无线传感器网络完成机电设备复合故障数据采集。在此基础上,将采集的复合故障数据借助相模变换、小波能量熵进行预处理,相模变换能够使电压解耦或相电流成为互相独立的模态分量,小波能量熵能够估计不同尺度的信号能量。根据虚警概率和传感器检测概率,设计机电设备复合故障定位算法,将复合故障定位问题转化为故障观测空间中实际观测向量的归类问题,实现机电设备复合故障定位。测试结果表明:设计方法的复合故障平均定位误差较低、平均定位覆盖面积较高、整体复合故障定位耗时较短。
In order to achieve more rapid,less error and higher coverage of composite fault location of electromechanical equipment,wireless sensor technology is introduced to optimize the design of composite fault location method of electromechanical equipment.The wireless sensor data acquisition network is designed.The wireless sensor data acquisition network is composed of coordinator node,routing node and current sensor node.The composite fault data acquisition of electromechanical equipment is completed based on the wireless sensor network.On this basis,the collected composite fault data are preprocessed with the help of phase mode transform and wavelet energy entropy.Phase mode transform can decouple voltage or phase current into independent modal components,and wavelet energy entropy can estimate signal energy of different scales.According to the false alarm probability and sensor detection probability,the composite fault location algorithm of electromechanical equipment is designed,and the composite fault location problem is transformed into the classification of actual observation vectors in the fault observation space to realize the composite fault location of electromechanical equipment.The test results show that the average location error of composite fault is low,the average location coverage area is high,and the overall composite fault location time is short.
作者
张徐
ZHANG Xu(Nanjing Technical Vocational College,Nanjing 210000,JiangSu,China)
出处
《电气传动自动化》
2022年第2期45-50,共6页
Electric Drive Automation
关键词
无线传感器网络
机电设备复合故障
电流传感器节点
故障定位
小波能量熵
Wireless sensor networks
Composite fault of electromechanical equipment
Current sensor node
Fault location
Wavelet energy entropy
