摘要
针对螺旋桨空化特征的识别问题,采集某试验船在不同转速下的螺旋桨噪声信号,运用小波包原理重构出表征空化的特征信号,提取不同空化状态下的特征信号包络,对比分析特征信号包络时域和频域特性变化,得到空化发展对信号调制特征的影响规律。结果表明:空化初期调制谱的结构出现变化,同时在一定范围内空化特征信号的调制程度随着空化发展而加深。
Aiming at the problem of propeller cavitation detection, propeller noise with different rotate speeds of a trial ship is collected and characteristic signals representing propeller cavitation states are refined from the noise using wavelet packet reconstruction. Envelop of characteristic signals during different cavitation development stages are demodulated and envelop features of time domain and frequency domain are analyzed. The result shows that structure of the characteristic signal＇s envelop spectrum is changed during initial stage of cavitation, and the degree of demodulation is deepened with cavitation aggravating.
作者
李阳
何琳
崔立林
徐荣武
LI Yang;HE Lin;CUI Li-lin;XU Rong-wu(Institute of Noise and Vibration,Naval University of Engineering,Wuhan 430033,China;National Key Laboratory on Ship Vibration and Noise,Wuhan 430033,China)
出处
《舰船科学技术》
北大核心
2018年第9期1-5,共5页
Ship Science and Technology
基金
国家自然科学基金资助项目(51209214)
海军工程大学科研发展基金资助项目(425517K277)
关键词
空化噪声
小波包
包络分析
特征提取
cavitation noise
wavelet packed
envelop analysis
feature extraction
