摘要
设计了以OMAP-L137处理器为核心的空化在线监测系统。系统采用基于支持向量机的空化状态监测方法,对水听器采集到的空化声信号进行多特征提取,并利用支持向量机进行空化状态的模式识别,取得了良好的监测效果;同时基于"FP-GA+DSP+ARM"的硬件结构设计,使系统具有较强的通用性和扩展性,并达到了良好的实时性能。在轴流水泵空化实验平台上的实验结果表明,该空化在线监测系统可有效监测空化现象的发生。
An on-line cavitation monitoring system based on OMAP-L137 is presented,in which cavitaion monitoring method based on support vector machine is used.The acoustic signals are collected by hydrophone and the features are extracted with various methods,then support vector machine is used for cavitation pattern recognition.The result shows that the system has a good monitoring accuracy.Meanwhile,the hardware structure is designed based on ＂FPGA＋DSP＋ARM＂ with strong commonality,expansibility and real-time performance.The experiment based on the cavitation platform of axial flow pump shows that the system can detect cavitation effectively.
出处
《微计算机应用》
2011年第7期61-65,共5页
Microcomputer Applications
关键词
OMAP处理器
支持向量机
空化在线监测
OMAP processor
support vector machine
on-line cavitaion detection
