TY - GEN
T1 - Prognostic diagnosis of hollow ball screw pretension on preload loss through sensed vibration signals
AU - Huang, Yi Cheng
AU - Chen, Yu Shi
AU - Sun, Shi Lun
AU - Peng, Kuan Heng
PY - 2013/8/8
Y1 - 2013/8/8
N2 - 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.
AB - 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.
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U2 - 10.1007/978-1-4614-6747-2_111
DO - 10.1007/978-1-4614-6747-2_111
M3 - Conference contribution
AN - SCOPUS:84881055792
SN - 9781461467465
T3 - Lecture Notes in Electrical Engineering
SP - 959
EP - 966
BT - Intelligent Technologies and Engineering Systems
T2 - 2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012
Y2 - 13 December 2012 through 15 December 2012
ER -