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《Journal of Vibration and Shock》 2018-12
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A study on fault diagnosis of ball screw preload loss based on vibration signals

WANG Zhirong;WANG Yulin;CHEN Chaoyu;ZHOU Changguang;OU Yi;FENG Hutian;School of Mechanical Engineering,Nanjing University of Science and Technology;  
Preload loss in a ball screw will significantly deteriorate the feed precision; therefore,real time monitoring of preload variation of ball screw is necessary. In this paper,a signal processing method combing EMD with MSE was put forward to conduct the fault diagnosis of ball screw preload loss. A new preload-adjustable device was designed,based on which,the vibration signals at different preload levels were collected. The IMF near the first feature frequency of the vibration signal was obtained by EMD. Then multi-scale entropy of the IMF was calculated. Finally a BP neural network was established to confirm that diagnosis using multi-scale entropy as a feature vector was better than that using first feature frequency. The analysis results should be great significance to promote the development of ball screw health monitoring.
【Fund】: 国家自然科学基金面上项目(51475244);; 江苏省“六大人才高峰”(2014-ZBZZ-006);; 南京理工大学“卓越计划”“紫金之星”(2015-ZI JIN-07)
【CateGory Index】: TG659
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