摘要
有效控制转子系统过临界时的振动幅值是保障系统安全运行的重要手段,针对现有转子动平衡方法处理非平稳数据的不足,提出了基于非平稳信息的转子瞬态动平衡方法。该方法基于模态平衡法的思想,利用经验模态分解(empirical mode decomposition,简称EMD)从转子起车加速瞬态响应数据中提取临界转速附近的转频振动信息,借助于键相信号获取平衡转速下的初相点信息。通过添加合理的试重,用全息动平衡实现了转子系统的模态平衡,避免了传统模态平衡法需要获取临界前后稳态数据的风险,使转子系统可以顺利地通过临界共振区。实验结果表明,该方法可以有效降低转子系统的一阶临界振动,同时有效减少平衡过程中的起车次数。
Effectively controling the vibration amplitude at the critical speed is an important measure to ensure the safety operation of rotor systems.In view of the disadvantages of the existing dynamic balancing methods to deal with non-stationary vibration signals,a new transient balancing method of rotor based on non-stationary information is presented.The method adopts the idea of modal balancing and extracts rotating frequency vibration information nearby the critical speed from the run-up accelerating response data by empirical mode decomposition.The initial phase point information is obtained by means of the key phase signal,and then by adding appropriate trial weights,the correction masses are calculated utilizing Holobalancing method.Compared with the traditional dynamic balancing method,this method does not need to acquire steady-state vibration signals,so as to make the rotor pass through the critical speed smoothly.The experiment results show that not only the amplitude at the critical speeds but also the number of test runs can be reduced effectively.
出处
《振动.测试与诊断》
EI
CSCD
北大核心
2013年第4期614-619,724,共6页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金项目资助(51075323)
国家高技术研究发展计划("八六三"计划)资助项目(2012AA040913)
关键词
经验模态分解
转子
非平稳
瞬态平衡
empirical mode decomposition,rotor,non-stationary,transient balancing