Reliability analysis of rolling bearings considering internal clearance
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DOI 10.1007/s12206-020-2206-9
Journal of Mechanical Science and Technology 34 (0) 2020 Original Article DOI 10.1007/s12206-020-2206-9 Keywords: · Rolling bearings · Internal clearance · Life factor · Reliability analysis
Correspondence to: Hong-Zhong Huang [email protected]
Citation: Yu, A., Huang, H.-Z., Li, H., Li, Y.-F., Bai, S. (2020). Reliability analysis of rolling bearings considering internal clearance. Journal of Mechanical Science and Technology 34 (0) (2020) ?~?. http://doi.org/10.1007/s12206-020-2206-9
Reliability analysis of rolling bearings considering internal clearance Aodi Yu1,2, Hong-Zhong Huang1,2, He Li1,2, Yan-Feng Li1,2 and Song Bai1,2 1
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of 2 China, Chengdu, Sichuan 611731, China, Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
Abstract The internal clearance is a decisive parameter for life prediction and reliability analysis of rolling bearings. In this paper, a comprehensive reliability analysis model of rolling bearings is proposed by considering the internal clearance of rolling bearings. The model of bearings’ working clearance was established after investigating the effect mechanisms of effective interference, temperature, and centrifugal force on the clearance. The validation of the results is carried out by the reliability analysis of a real rolling bearing through the modeling of working clearance probability distribution and the research of life factor. The results indicate that the proposed methodology provides an additional reference way for the reliability analysis of rolling bearings.
Received April 22nd, 2020 Revised
May 19th, 2020
Accepted May 19th, 2020
1. Introduction
† This paper was presented at ICMR2019, Maison Glad Jeju, Jeju, Korea, November 27-29, 2019. Recommended by Guest Editor Insu Jeon
Rolling bearings are critical and essential assemblies of aero-engine, and the bearings’ failure is one of the most critical factors affecting the reliability of aero-engine. To ensure the high reliability of aero-engine, the premise is to ensure the long life and high reliability of its bearings [14]. For instance, in recent years, tremendous efforts have been made to analyze the life and reliability of rolling bearings. Wang et al. [5] proposed a method to rapidly evaluate reliability and predict remaining useful life through a two-dimensional deep convolution neural network with signal conversion. Gao et al. [6, 7] evaluated the rolling contact fatigue reliability of bearings by considering various factors (such as contact load, geometric parameters of contact pairs, material properties et al.). Huang et al. [8] considered the influence of working conditions and frictional heat and proposed a reliability assessment method for momentum wheel bearings based on the stress-strength interference model. Li et al. [9] predicted the reliability based on state space model (SSM) as a basis of that
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