电子器件2017，Vol.40Issue(4)：936-941,6.DOI:10.3969/j.issn.1005-9490.2017.04.029
风电机组碰摩声发射源识别和监测系统的设计
Design of the Monitoring System of Wind Turbines UsingRubbing Acoustic Emission Recongtion
摘要
Abstract
A method of fault detection for wind turbine based on acoustic emission source feature recognition is proposed.To realize real-time monitoring and distributed network management,a wind turbines vibration monitoring system based on ARM embedded system is designed.The system includes 24 channels of analog signal acquisition circuit,the FPGA is applied to realize the logic control of the peripheral circuit including real-time sampling of data;to meet data transmission requirement for high speed sampling,the EDMA technology is adopted to access the data communication between FPGA and ARM,which extremely improve the data transmission rate;besides,TCP/IP protocol is used in the data communication between the object board and the upper computer.Tests results verify the real-time and accuracy of data,and indicate that it reaches the requirements of the state monitoring and fault diagnosis of the wind turbines.关键词
风电机组/声发射/识别/实时监测Key words
wind turbines/acoustic emission/source recognition/real-time monitoring分类
信息技术与安全科学引用本文复制引用
沈舷,奚吉..风电机组碰摩声发射源识别和监测系统的设计[J].电子器件,2017,40(4):936-941,6.基金项目
国家自然科学基金项目(61301295) （61301295）
江苏省自然科学基金项目(ZKJ201202) （ZKJ201202）
