摘要
对于矿用轴流式主通风机叶片振动在线监测系统,当叶片发生异步振动时,由于叶尖定时测振属于严重欠采样法,同时具有非均匀采样性,导致叶片振动参数识别难度增加。针对该问题,提出轴流风机叶片异步振动频率的获取方法,即通过对轴流风机叶片振动位移序列进行傅里叶变换,求得叶片振动的差频部分,再通过遍历法求得叶片振动的整频部分,取两者之和从而获得叶片的实际一阶振动频率。在对上述方法进行理论推导的基础上,针对一台矿用轴流风机的叶片,通过数值仿真验证该方法的可行性和可靠性,为矿用轴流风机叶片异步振动在线监测系统的工程应用提供了理论分析方法。
In the online blade vibration monitoring system of a mining axial main fan,when the blade is inasynchronous vibration,it is hard to identify the blade vibration parameters because the signal of blade tip-timing isseriously under-sampled and non-uniformly sampled.To solve the problem,an identification algorithm is put forward in thispaper to obtain the asynchronous vibration parameters of the axial fan blades.In this algorithm,through Fourier Transformof the blade vibration displacement sequence of the axial flow fan,the frequency difference of blade vibration can beobtained.The blade vibration frequency can be got by the sum of both the frequency difference and the integral frequency ofblade vibration which can be obtained by traversing method.Based on the above theoretical formulation,the mining axialfan blade is modeled and simulated,and the feasibility and reliability of the identification algorithm for the blade vibrationparameters are verified.This research has provided a theoretical approach for the engineering application of the onlinemonitoring system to the asynchronous vibration monitoring of the axial fan blades.
作者
陈庆光
王超
CHEN Qing-guang;WANG Chao(College of Mechanical and Electronic Engineering, Shandong University of Science and Technology,Qingdao 266590, Shandong China)
出处
《噪声与振动控制》
CSCD
2017年第2期148-151,共4页
Noise and Vibration Control
基金
山东省自然科学基金资助项目(ZR2013EEM017)
关键词
振动与波
矿用轴流风机
叶尖定时法
叶片异步振动
振动频率
数值仿真
vibration and wave
mining axial fan
blade tip-timing method
blade asynchronous vibration
vibration frequency
numerical simulation
