摘要
针对船舶柴油机振动产生的非平稳信号,提出一种基于完备的总体平均经验模态分解(CEEMD)与参数优化Morlet小波分析相结合的振动信号特征提取方法。利用CEEMD方法对振动信号进行分解,在分解出的各种分量中,去掉无用的周期成分分量,保留含有冲击特征的分量,结合参数优化Morlet小波分析方法,根据Morlet小波与冲击信号的相似性,将冲击成分提取出来。通过仿真信号以及柴油机振动信号的应用分析验证了该方法对柴油机振动信号冲击特征提取的有效性。
Aiming at the non-stationary signal generated by the vibration of marine diesel engine,a method of feature extraction of vibration signal is proposed based on the combination of complementary ensemble empirical mode decomposition(CEEMD)and Morlet wavelet analysis of parameter optimization.The CEEMD method is used to decompose the vibration signal.In the decomposed components,the useless periodic components are removed and the components with impact characteristics are retained.By combining the method of Morlet wavelet analysis of parameter optimization,the impact components are extracted according to the similarity between the Morlet wavelet and impact signal.The application analysis of the simulation signal and the vibration signal of the diesel engine verify the validity of the method to extract the impact characteristics of the vibration signal of the diesel engine.
作者
梁仲明
滕宪斌
杨期江
朱发新
LIANG Zhongming;TENG Xianbin;YANG Qijiang;ZHU Faxin(School of Port and Transportation Engineering,Zhejiang Ocean University,Zhejiang Zhoushan 316022,China;School of Marine Engineering,Guangzhou Maritime University,Guangzhou 510725,China)
出处
《船舶工程》
CSCD
北大核心
2020年第5期90-96,共7页
Ship Engineering
基金
广东省自然科学基金项目(2018A030310017)
广州市科技计划项目(201904010133)
浙江海洋大学2019年度校级大学生创新训练计划项目(学术论文类)(xj2019053)。
