摘要
为了解决VMD方法在处理非平稳信号时,人为确定输入参数会影响模态分解精度的问题,提出一种基于PSO算法优化VMD输入参数的PSO-VMD方法,用于滚动轴承故障信号的模态分解,并使用Teager能量算子(TEO)对模态分解结果进一步计算,得到各模态分量的Teager包络谱.通过滚动轴承内环单点故障、外环单点故障和滚子单点故障实测振动故障信号的模态分解与故障诊断,验证PSO-VMD方法的有效性和实用性.
In order to solve the problem that manually determining input parameters can affect the accuracy of modal decomposition when processing non-stationary signals by using the VMD method,a PSO-VMD method based on PSO algorithm to optimize VMD input parameters is applied to modal decomposition of rolling bearing fault signals.The Teager Energy Operator(TEO)is used to further calculate the results of modal decomposition and obtain the Teager envelope spectra of each modal component.The effectiveness and practicality of the PSO-VMD method are verified through the modal decomposition and fault diagnosis of vibration fault signals measured at single point faults of the inner ring,outer ring,and roller of rolling bearings.
作者
边杰
陈亚农
梅庆
卢艳辉
BIAN Jie;CHEN Yanong;MEI Qing;LU Yanhui(AECC Hunan Aviation Powerplant Research Institute,Zhuzhou 412002,China;AECC Key Laboratory of Aero-engine Vibration Technology,Zhuzhou 412002,China;AECC Commercial Aircraft Engine Company Limited,Shanghai 200241,China)
出处
《湖南科技大学学报（自然科学版）》
CAS
北大核心
2024年第1期53-59,共7页
Journal of Hunan University of Science And Technology：Natural Science Edition
基金
中国航空发动机集团科技创新平台项目资助(CXPT-2018-027)。
