轴承动载荷识别方法改进及试验验证  

Improvement of Bearing Dynamic Load Identification Method and Experimental Verification

作　　者：刘志强 陈亚明 沈德明 杨建刚[1] 谭平[1] LIU Zhiqiang;CHEN Yaming;SHEN Deming;YANG Jiangang;TAN Ping(National Engineering Research Center of Turbo Generator Vibration,Southeast University,Nanjing 210096,China;Everbright Environmental Technology(China)Co.,Ltd.,Nanjing 211106,China;Nanjing SciyonWisdom Technology Group Co.,Ltd.,Nanjing 211102,China;Jiangsu Province Key Laboratory of Thermal Process Intelligent Control,Nanjing 211102,China)

机构地区：[1]东南大学火电机组振动国家工程研究中心,南京210096 [2]光大环境科技(中国)有限公司,南京211106 [3]南京科远智慧科技集团股份有限公司,南京211102 [4]江苏省热工过程智能控制重点实验室,南京211102

出　　处：《噪声与振动控制》2022年第4期132-137,共6页Noise and Vibration Control

摘　　要：轴承动载荷是影响旋转机械安全稳定运行的重要因素。在基于频响函数求逆法的动载荷识别模型基础上,针对频响函数矩阵病态性问题,提出基于响应点优化和截断奇异值分解(Truncated Singular Value Decomposition,TSVD)法的矩阵病态消除方法。首先,选择条件数最小的测点组合进行响应点优化,再利用TSVD法识别轴承动载荷。在所搭建的双转子实验台上设计识别方案,通过改变轮盘不平衡量,验证了根据该方法识别轴承动载荷的可靠性。Bearing dynamic load is an important factor affecting the safe and stable operation of rotating machinery.In this paper,a model for recognizing dynamic load based on frequency response function inversing is established.The method based on response point optimization and truncated singular value decomposition(TSVD)is proposed to solve the ill-conditioned matrix problem of the traditional identification methods.Firstly,the measuring points with the minimum number of conditions are combined and used to the response point optimization.Then,the TSVD method is used to identify the bearing dynamic load.The reliability of this method to identify the dynamic load of bearings is verified by the experimental test on the double-rotor test bench through changing the disc imbalance.

关 键 词：振动与波 动载荷 频响函数 动力响应 逆问题 

分 类 号：O347.1[理学—固体力学] TH133.3[理学—力学]