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矿用轴流风机叶片异步振动频率获取方法

陈庆光 王超

噪声与振动控制2017,Vol.37Issue(2):148-151,4.
噪声与振动控制2017,Vol.37Issue(2):148-151,4.DOI:10.3969/j.issn.1006-1355.2017.02.030

矿用轴流风机叶片异步振动频率获取方法

Method for Acquiring Asynchronous Vibration Frequencies of Mining Axial Fan Blades

陈庆光 1王超1

作者信息

  • 1. 山东科技大学 机械电子工程学院,山东 青岛 266590
  • 折叠

摘要

Abstract

In the online blade vibration monitoring system of a mining axial main fan, when the blade is in asynchronous vibration, it is hard to identify the blade vibration parameters because the signal of blade tip-timing is seriously under-sampled and non-uniformly sampled. To solve the problem, an identification algorithm is put forward in this paper to obtain the asynchronous vibration parameters of the axial fan blades. In this algorithm, through Fourier Transform of the blade vibration displacement sequence of the axial flow fan, the frequency difference of blade vibration can be obtained. The blade vibration frequency can be got by the sum of both the frequency difference and the integral frequency of blade vibration which can be obtained by traversing method. Based on the above theoretical formulation, the mining axial fan blade is modeled and simulated, and the feasibility and reliability of the identification algorithm for the blade vibration parameters are verified. This research has provided a theoretical approach for the engineering application of the online monitoring system to the asynchronous vibration monitoring of the axial fan blades.

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

Key words

vibration and wave/mining axial fan/blade tip-timing method/blade asynchronous vibration/vibration frequency/numerical simulation

分类

数理科学

引用本文复制引用

陈庆光,王超..矿用轴流风机叶片异步振动频率获取方法[J].噪声与振动控制,2017,37(2):148-151,4.

基金项目

山东省自然科学基金资助项目(ZR2013EEM017) (ZR2013EEM017)

噪声与振动控制

OACSCDCSTPCD

1006-1355

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