Diagnosis of ball screw preload loss by vibration signals through the Hilbert-Huang transform and multiscale measure

Yan Chen Shin, Yi-Cheng Huang, Jen Ai Chao

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

3 Citations (Scopus)

Abstract

This paper proposes a diagnosis method of ball screw preload loss through the Hilbert-Huang Transform (HHT) and Multiscale entropy (MSE) process when machine tool is in operation. Maximum dynamic preload of 2% and 4% ball screws are predesigned, manufactured and conducted experimentally. Vibration signal patterns are examined and revealed by Empirical Mode Decomposition (EMD) with Hilbert Spectrum. Different preload features are extracted and discriminated by using HHT. The irregularity development of ball screw with preload loss is determined and abstracting via MSE based on complexity perception. The experiment results successfully show preload loss can be envisaged by the proposed methodology.

Original languageEnglish
Title of host publicationInformation Technology for Manufacturing Systems II
Pages636-641
Number of pages6
DOIs
Publication statusPublished - 2011 Jul 22
Event2011 International Conference on Information Technology for Manufacturing Systems, ITMS 2011 - Shanghai, China
Duration: 2011 May 72011 May 8

Publication series

NameApplied Mechanics and Materials
Volume58-60
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other2011 International Conference on Information Technology for Manufacturing Systems, ITMS 2011
CountryChina
CityShanghai
Period11-05-0711-05-08

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Shin, Y. C., Huang, Y-C., & Chao, J. A. (2011). Diagnosis of ball screw preload loss by vibration signals through the Hilbert-Huang transform and multiscale measure. In Information Technology for Manufacturing Systems II (pp. 636-641). (Applied Mechanics and Materials; Vol. 58-60). https://doi.org/10.4028/www.scientific.net/AMM.58-60.636