基于樽海鞘群优化VMD和FCF的旋转机械信号分析方法  

Signal Analysis Method of Rotating Machinery Based on Salp Swarms Optimization VMD and FCF

作　　者：袁文琪[1] 冯爱兰[2] 徐江燕 YUAN Wenqi;FENG Ailan;XU Jiangyan(Zhejiang Industry Polytechnic College,Shaoxing 312000,China;.School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Qingdao Zhiteng Microelectronics Co.,Ltd.,Qingdao 266111,China)

机构地区：[1]浙江工业职业技术学院,浙江绍兴312000 [2]北京科技大学机械工程学院,北京100083 [3]青岛智腾微电子有限公司,山东青岛266111

出　　处：《煤炭技术》2022年第2期209-212,共4页Coal Technology

摘　　要：针对旋转机械振动信号分析困难的问题,提出一种基于樽海鞘群优化变分模态分解(SSO-VMD)和FCF的旋转机械信号分析方法。利用樽海鞘群优化变分模态分解,确定其参数,对信号进行分解,通过故障相关因子(FCF)筛选合适的IMF分量完成信号重构。经实验验证,该方法可有效去除干扰信息,实现信号的分解与重构。In order to solve the problem of vibration signal analysis of rotating machinery,a new signal analysis method based on salp swarm optimization variational mode decomposition(SSO-VMD)and fault correlation factor(FCF)was proposed.The variational modal decomposition was optimized by Salp colony,its parameters were determined,and signals were decomposed.FCF was used to screen appropriate IMF components to complete signal reconstruction.The experimental results show that this method can effectively remove the interference information and realize the signal decomposition and reconstruction.

关 键 词：旋转机械 樽海鞘群优化算法 变分模态分解 故障相关因子 信号分析 

分 类 号：TH133[机械工程—机械制造及自动化]