2020
DOI: 10.1177/1748006x20933506
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Dynamic reliability analysis of angular contact ball bearings in positioning precision

Abstract: Bearings are the core components in various kinds of rotating machineries. With the increasing demand of reliable bearings in precision equipment, it is of great significance to analyze the motion error of bearings. In this article, a nonlinear dynamic model of angular contact ball bearings installed in pairs is constructed to describe its response characteristics. The definition of a failure mode in matched bearings is that the dynamic response of each inner race is larger than the allowed axial runo… Show more

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Cited by 3 publications
(3 citation statements)
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“…A wide range of engineering systems are subject to dynamic operating conditions, so DPRA methods have been applied to a variety of areas: from nuclear safety engineering [14] to structural engineering [15] and rotating machinery [16]. However, the focus in this paper is on DPRA methods designed for complex systems consisting of multiple interacting components within different physical domains.…”
Section: Dynamic Reliability Assessmentmentioning
confidence: 99%
“…A wide range of engineering systems are subject to dynamic operating conditions, so DPRA methods have been applied to a variety of areas: from nuclear safety engineering [14] to structural engineering [15] and rotating machinery [16]. However, the focus in this paper is on DPRA methods designed for complex systems consisting of multiple interacting components within different physical domains.…”
Section: Dynamic Reliability Assessmentmentioning
confidence: 99%
“…Papaioannou et al [10] proposed an estimation of sensitivities of the probability of failure with sequential importance sampling, applied for estimating sensitivities to both distribution and limit state parameters. Zhang and Gu [11] constructed a nonlinear dynamic model of a pair of mounted angular contact ball bearings to analyse the motion error of the bearing by using the random perturbation method and Edgeworth series to obtain reliability and reliability sensitivity.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al 8 presented a method for fault diagnosis of motor rolling bearings based on neural networks and time-frequency domain bearing vibration analysis. Zhang and Gu 9 constructed a nonlinear dynamic model of angular contact ball bearings installed in pairs to analyze the motion error of the bearings and obtained the reliability and reliability sensitivity using a stochastic perturbation method and Edgeworth series. Li et al 10 proposed a reliability assessment method based on the degenerate Markov model to successfully assess the reliability of wind turbine gearbox bearings based on small samples.…”
Section: Introductionmentioning
confidence: 99%