Adaptive separation of unbalance vibration in air bearing spindles

被引：14

作者：

Cao, Hongrui ^{[1
,2
]}

Doergeloh, Timo ^{[2
]}

Riemer, Oltmann ^{[2
]}

Brinksmeier, Ekkard ^{[2
]}

机构：

[1] Xi An Jiao Tong Univ, Educ Minist Modern Design & Rotor Bearing Syst, Key Lab, Xian 710049, Peoples R China

[2] Univ Bremen, Lab Precis Machining LFM, Badgasteiner Str 2, D-28359 Bremen, Germany

来源：

10TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME '16 | 2017年 / 62卷

关键词：

Air bearing spindle; unbalance vibration; adaptive separation; CEEMD; EMPIRICAL MODE DECOMPOSITION; ERROR MOTION;

D O I：

10.1016/j.procir.2016.06.069

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In order to achieve the aim of automatic balancing of air bearing spindles, the imbalance-induced vibrations need to be measured first. However, the measured signals are usually contaminated with harmonic error motions and noise. In this paper, an adaptive approach is proposed for the separation of unbalance vibration in air bearing spindles. The fundamental error motion, high-order harmonic error motions and noise are separated adaptively with the complementary ensemble empirical mode decomposition (CEEMD) method. The vibrations under the excitation of different unbalance masses are measured and analyzed at various rotating speeds. The results are beneficial for the accurate estimation of unbalance mass in air bearing spindles. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：351 / 356

页数：6

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