Commenced in January 2007
Paper Count: 30382
Method of Intelligent Fault Diagnosis of Preload Loss for Single Nut Ball Screws through the Sensed Vibration Signals
Abstract:This paper proposes method of diagnosing ball screw preload loss through the Hilbert-Huang Transform （HHT） and Multiscale entropy （MSE） process. The proposed method can diagnose ball screw preload loss through vibration signals when the machine tool is in operation. Maximum dynamic preload of 2 %, 4 %, and 6 % ball screws were predesigned, manufactured, and tested experimentally. Signal patterns are discussed and revealed using Empirical Mode Decomposition（EMD）with the Hilbert Spectrum. Different preload features are extracted and discriminated using HHT. The irregularity development of a ball screw with preload loss is determined and abstracted using MSE based on complexity perception. Experiment results show that the proposed method can predict the status of ball screw preload loss. Smart sensing for the health of the ball screw is also possible based on a comparative evaluation of MSE by the signal processing and pattern matching of EMD/HHT. This diagnosis method realizes the purposes of prognostic effectiveness on knowing the preload loss and utilizing convenience.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082113Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2319
 Hirokasu Shimoda, Stiffness analysis of ball screws - influence of load distribution and manufacturing error, International Journal of the Japan Society for Precision Engineering, 33, 3 , 1999, pp. 168-172.
 Feng Guo-Hua and Pan Yi-Lu, Investigation of ball screw preload variation based on dynamic modeling of a preload adjustable feed-drive system and spectrum analysis of ball-nuts sensed vibration signals, International Journal of Machine Tools & Manufacture, 52, 2012, pp. 85-96.
 Huang NE, Shen SSP. Hilbert-Huang Transform and its applications, World Scientific Publishing, 2005.
 Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, et al. ,The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis, Proceedings of the Royal Society A, 454, 1998, pp. 903-995.
 Gabor, D., "Theory of Communication" Journal of Institute of Electrical Engineers, 93, 1946, pp. 429-457.
 Antonino-Daviu J, Jover Rodriguez P, Riera-Guasp, A. Arkkio M, Roger-Folch J, Perez R.B. Transient detection of eccentricity-related components in induction motors through the Hilbert-Huang Transform, Energy Conversion and Management, 50, 2009,pp. 1810-1820.
 Peng Z K, Tse PW, Chu F L., A comparison study of improved Hilbert-Huang Transform and wavelet transform application to fault diagnosis for rolling bearing, Mechanical Systems and Signal Processing, 19, 2005 pp. 974-988.
 Costa M., Goldberger A.L., Peng C.-K., Multiscale entropy analysis of biological signals, Physical Review Express, 71 , 2005, pp. 021906-1-021906-18.
 Costa M., Goldberger A.L., Peng C.-K., Multiscale entropy analysis of physiologic time series, Physical Review Letters, 89, 6, 2002, pp. 068102 1-4
 Richman J.S., Moorman J.R., Physiological time-series analysis using approximate entropy and sample entropy", American Journal of Physiology Heart and Circulatory Physiology, 278, 6, 2000, pp. 2039-2049
 Pincus S.M. "Approximate entropy as a measure of system complexity", Proceedings of the National Academy of Sciences of the United States of America, 88, 6, 1991, pp. 2297-2301
 Costa M., Goldberger, A.L., Peng C.-K., Multiscale entropy to distinguish between physiologic and synthetic RR time series, Computers in Cardiology, 29, 2002, pp. 137-140.
 Kamalzadeh Amin, Gordon Daniel J. D and Erkorkmaz Kaan, Robust compensation of elastic deformetions in ball screw drives, 50, 2010, pp.559-574.
 Denkena B., Harms A., Jacobsen J., Möhring H.-C., Lange D. and Noske H., Life-cycle Oriented Development of Machine Tools, 13th Cooperative Institutional Research Program international conference on life cycle engineering, 2006, pp. 693-698.
 Frey S., Walther M., A. Verl, Periodic variation of preloading in ball screws, machine tool, Production Engineering, Springerlink, 10.1007/s11740-010-0207-8, 2010.