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Research Article
Jun 28, 2022

Rolling Bearing Damage Evaluation by the Dynamic Process From Self-Induced Resonance to System Resonance of a Duffing System

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 9, Issue 1

Abstract

The dynamic response of a Duffing system from self-induced resonance to system resonance is studied in this paper. From numerical simulation, it is found that the system response gradually transits from self-induced resonance to system resonance with the increase of the pulse amplitude of the signal. In order to describe this process, we define the quality factor of the system response. With the evolution from self-induced resonance to system resonance, the quality factor gradually increases from 0 to 1. Then, based on the evolution, a novel method is developed to evaluate the severity of rolling bearing early damage. The results show that the method can be used not only to describe the process of a rolling bearing from healthy to damaged, but also to evaluate the severity of the early damage of a rolling bearing. The quality factor is a key index to reflect the severity of a rolling bearing. In addition, the sensitivity of the quality factor is superior to other traditional indices formerly used in the early damage evaluation. The effective method gives a new way for rolling bearing early damage evaluation. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4054694.

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Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 9Issue 1March 2023

History

Received: Feb 26, 2022
Revision received: May 16, 2022
Published online: Jun 28, 2022
Published in print: Mar 1, 2023

Authors

Affiliations

Shuai Zhang
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China;; School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Zhongqiu Wang
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China
Jianhua Yang [email protected]
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China e-mail: [email protected]

Funding Information

National Natural Science Foundation of China10.13039/501100001809: 12072362

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