2020
DOI: 10.1109/access.2019.2950284
|View full text |Cite
|
Sign up to set email alerts
|

Mechanism and Method for Outer Raceway Defect Localization of Ball Bearings

Abstract: The localization of outer raceway defect plays a significant role in malfunction elimination, failure cause analysis as well as the residual life prediction of ball bearings. Based on the nonlinear dynamic model for a ball bearing and the outer raceway defect model considering the ball finite size, this article employs the detailed mathematical derivation and theoretical analysis of the load distribution for the bearing system with an outer raceway defect located at the different angular positions. Therefore, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
17
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 32 publications
(17 citation statements)
references
References 26 publications
0
17
0
Order By: Relevance
“…Besides, the feature information of the main components obtained by VMD is distributed over an appropriate bandwidth, which means that the parameterα is supposed to stay within an empirical range and is neither too big nor too small compared to the default of VMD. For all those reasons, here the search ranges of the two parametersα and K are empirically set as [2,8] and [100, 2000], respectively.…”
Section: Parameter Optimization Of Vmd Using Gwomentioning
confidence: 99%
See 1 more Smart Citation
“…Besides, the feature information of the main components obtained by VMD is distributed over an appropriate bandwidth, which means that the parameterα is supposed to stay within an empirical range and is neither too big nor too small compared to the default of VMD. For all those reasons, here the search ranges of the two parametersα and K are empirically set as [2,8] and [100, 2000], respectively.…”
Section: Parameter Optimization Of Vmd Using Gwomentioning
confidence: 99%
“…As everyone knows, most mechanical fault signals have the characteristics of being nonlinear and non-stationary; it is difficult to accurately reveal the fault feature frequency applying directly fast Fourier transform (FFT) in data processing [1]. Hence, a host of studies have focused on how to improve the ability of fault information excavation, mainly classified as three types, namely the time domain, frequency domain, and time-frequency domain [2][3][4]. Among these approaches, the time-frequency analysis (TFA) tool has gained increasing interest for capturing intrinsic feature information from nonlinear and non-stationary signals due to the fact that it is capable of excavating time-frequency information at the same time.…”
Section: Introductionmentioning
confidence: 99%
“…Vibration signal of diesel engine is a typical nonstationary time-varying signal, which contains abundant characteristic information and can be used to directly, quickly, and accurately reflect the running state of diesel engine. So, how to extract and analyse the characteristic information of vibration signals is always the hotspot of diesel engine fault diagnosis [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…Previously derived precision loss characteristics have laid the foundation for the optimized design of the ball screw for precision retention. Thus far, studies on the optimization of structural parameters of the ball screw have been limited to the transmission efficiency [3][4], stiffness [1,14], servo structure [15,16], preload [17] and active suspension [18]. Based on data from experimental studies of the ball screw actuator, Zhao et al [18] proposed an active suspension system with a novel double vibration reduction structure.…”
Section: Introductionmentioning
confidence: 99%