| 基于小波熵的空化状态检测与识别 | |
| 刘源 ; 何永勇 ; 陈大融 ; LIU Yuan ; HE YongYong ; CHEN DaRong | |
| 2010-06-08 ; 2010-06-08 | |
| 关键词 | 空化噪声 小波分析 信息熵 Cavitation noise Wavelet transform Entropy TB535 |
| 其他题名 | WAVELET ENTROPY BASED CONDITION TEST AND IDENTIFICATION OF CAVITATION |
| 中文摘要 | 空化是广泛存在且对流体机械危害很大的物理现象。文中将小波熵方法引入空化噪声分析,探讨基于小波熵的空化初生检测和空化状态识别方法,并对小波基的选取和计算窗口宽度及滑动步长对小波熵状态检测和识别性能的影响进行详细讨论。通过数值实验和空化噪声实例表明,小波熵能十分敏感地检测到空化初生及空化状态的改变,可为空化状态的检测和识别提供一种有效识别手段。; Cavitation is universal phenomenon,which is very harmful to the fluid or hydro machinery.Wavelet entropy was introduced to analyze cavitation noise signal.Wavelet entropy based method for condition test and identification of cavitation is explored and developed.In addition,the influence of the wavelet basis,calculating window width and window moving step on the identification performance of the wavelet entropy is discussed deeply.The simulation and case study demonstrates that wavelet entropy can test cavitation incipience and identify cavitation condition sensitively and reliably,and the proposed method is efficient and applicable.; 国家重点基础研究发展计划(2007CB707702); 教育部新世纪优秀人才支持计划资助~~ |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/49833]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 刘源,何永勇,陈大融,等. 基于小波熵的空化状态检测与识别[J],2010, 2010. |
| APA | 刘源,何永勇,陈大融,LIU Yuan,HE YongYong,&CHEN DaRong.(2010).基于小波熵的空化状态检测与识别.. |
| MLA | 刘源,et al."基于小波熵的空化状态检测与识别".(2010). |
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