Prognostic diagnosis of hollow ball screw pretension on preload loss through sensed vibration signals

Yi Cheng Huang, Yu Shi Chen, Shi Lun Sun, Kuan Heng Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The pretension for a ball screw is a way to improve the position accuracy. Hollow ball screw without a cooling system has the thermal deformation effect due to increase in temperature. It will reduce precision accuracy in machine tool when the ball screw nut preload or ball screw pretension is lost. The purpose of this study is to use vibration signals for the prognostic analysis for the ball screw pretension. Features of different pretension conditions by 0, 5, 10, and 20μm are discriminated by empirical mode decomposition (EMD), fast Fourier transform (FFT), and marginal frequency method. Temperature effects with long-term operation were discussed. This study experimentally extracts the characteristic frequencies for bettering pretension through the vibration signals. This diagnosis results realize the purpose of prognostic effectiveness on knowing the hollow ball screw preload loss based on pretension data and utilizing convenience.

Original languageEnglish
Title of host publicationIntelligent Technologies and Engineering Systems
Pages959-966
Number of pages8
DOIs
Publication statusPublished - 2013 Aug 8
Event2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012 - Changhua, Taiwan
Duration: 2012 Dec 132012 Dec 15

Publication series

NameLecture Notes in Electrical Engineering
Volume234 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012
CountryTaiwan
CityChanghua
Period12-12-1312-12-15

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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