| 基于OMAP处理器的空化在线监测系统设计 |
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| 引用本文： | 陈杰,阎兆立,程晓斌,陈笑然,李晓东.基于OMAP处理器的空化在线监测系统设计[J].微计算机应用,2011,32(7):61-65. |
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| 作者姓名： | 陈杰 阎兆立 程晓斌 陈笑然 李晓东 |
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| 作者单位： | 中国科学院声学研究所噪声与振动重点实验室 北京 100190 |
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| 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。
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| 关 键 词： | OMAP处理器 支持向量机 空化在线监测 |
Design of on-line Cavitation Monitoring System Based on OMAP-L137 |
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| CHEN Jie,YAN Zhaoli,CHENG Xiaobin,CHEN Xiaoran,LI Xiaodong.Design of on-line Cavitation Monitoring System Based on OMAP-L137[J].Microcomputer Applications,2011,32(7):61-65. |
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| Authors: | CHEN Jie YAN Zhaoli CHENG Xiaobin CHEN Xiaoran LI Xiaodong |
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| Affiliation: | CHEN Jie,YAN Zhaoli,CHENG Xiaobin,CHEN Xiaoran,LI Xiaodong(Key Laboratory of Noise and Vibration Research,Institute of Acoustics,Chinese Academy of Sciences,Beijing,100190,China) |
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| Abstract: | 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 performa... |
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| Keywords: | OMAP processor support vector machine on-line cavitaion detection |
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