Uses of empirical mode decomposition and multi-entropy techniques to establish the correlations among vibrations, friction coefficients and component wear of ball-bearing-like specimens

Chang Fu Han, Cheng Chun Wu, Hsiao Yeh Chu, Ping Hsueh Tsai, Jeng Haur Horng, Chin Chung Wei, Yih Chyun Hwang, Jen Fin Lin

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Ball-bearing-like specimens with two groove factors (GFs) are prepared to investigate surface roughness (Ra) effects on tribological parameters and vibrations. The self-adaptive decomposition (SAD) and the intrinsic mode function (IMF) are used to evaluate the multi-scale entropy (MSE). Define entropy tolerance (ET) as the difference in maximum and minimum MSE values. ET variations for the grove-like vibrations created at various IMFs are obtained. Average friction coefficients (μ¯) and wear losses (WL) are evaluated. (μ¯)outer ≪ (μ¯)inner ≪ (μ¯)spacer are the controlling factors for average vibration (AV). Increasing the ball-spacer gap (GD) and lowering GF can reduce AV. Smaller AV, AET, and (WL)spacer results are obtained from relatively smaller (μ¯)spacer. The developments of IMF and MSF provide a novel and efficient way to identify bearing's contact components governing the vibrations and tribological parameters of the tribo tests, and further establish the correlations for the result of AV, AET, μ¯, and (WL)spacer.

Original languageEnglish
Article number107021
JournalMeasurement: Journal of the International Measurement Confederation
Volume150
DOIs
Publication statusPublished - 2020 Jan

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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