基于DSP+ARM的风电机组振动监测仪的研究

Research for wind turbine based on DSP+ARM

主要研究了基于DSP+ARM双核的风电机组监测仪,以轴承振动信号作为监测对象,通过时域分析和小波包分析诊断风电机组故障;描述了系统设计方案,研究了数据检测方法、通讯方式、人机接口功能、DSP和ARM的通信方式。该系统是一款功能比较强大,能够可靠监测风电机组,并能有效的分析处理数据的系统。

Mainly studied the wind turbines monitor based on DSP ＋ ARM dual-core, bearing vibration signals as monitoring objects, by time domain analysis and wavelet packet analysis in the diagnosis of wind turbine fault; Describes the system design scheme, the data detection method, communication, man-machine interface function, DSP and ARM way of communication. The system is a more powerful, reliable monitoring of wind turbines, and effective data analysis and processing system.