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 journalArticle

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

Fingerprint

ball bearings
Ball bearings
coefficient of friction
Entropy
Wear of materials
entropy
Friction
Decomposition
spacers
decomposition
vibration
Bearings (structural)
grooves
surface roughness effects
Surface roughness
balls

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

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title = "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",
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.",
author = "Han, {Chang Fu} and Wu, {Cheng Chun} and Chu, {Hsiao Yeh} and Tsai, {Ping Hsueh} and Horng, {Jeng Haur} and Wei, {Chin Chung} and Hwang, {Yih Chyun} and Lin, {Jen Fin}",
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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. / Han, Chang Fu; Wu, Cheng Chun; Chu, Hsiao Yeh; Tsai, Ping Hsueh; Horng, Jeng Haur; Wei, Chin Chung; Hwang, Yih Chyun; Lin, Jen Fin.

In: Measurement: Journal of the International Measurement Confederation, Vol. 150, 107021, 01.2020.

Research output: Contribution to journalArticle

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AU - Han, Chang Fu

AU - Wu, Cheng Chun

AU - Chu, Hsiao Yeh

AU - Tsai, Ping Hsueh

AU - Horng, Jeng Haur

AU - Wei, Chin Chung

AU - Hwang, Yih Chyun

AU - Lin, Jen Fin

PY - 2020/1

Y1 - 2020/1

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