Toward a 3D dynamic model of a faulty duplex ball bearing

Kogan, Gideon; Klein, Renata; Kushnirsky, Alex; Bortman, Jacob

doi:10.1016/j.ymssp.2014.07.020

Cited by 37 publications

(23 citation statements)

References 14 publications

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“…In this research, we use a 3D general dynamic model for ball bearing. The model was developed in the PHM laboratory in Ben-Gurion University of the Negev [20]. The dynamic model allowed is based on the classical dynamic and kinematic equations.…”

Section: Background and Problem Definitionmentioning

confidence: 99%

Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes

Tam

Kalech

Rokach

et al. 2020

Sensors

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Bearing spall detection and predicting its size are great challenges. Model-based simulation is a well-known traditional approach to physically model the influence of the spall on the bearing. Building a physical model is challenging due to the bearing complexity and the expert knowledge required to build such a model. Obviously, building a partial physical model for some of the spall sizes is easier. In this paper, we propose a machine-learning algorithm, called Probability-Based Forest, that uses a partial physical model. First, the behavior of some of the spall sizes is physically modeled and a simulator based on this model generates scenarios for these spall sizes in different conditions. Then, the machine-learning algorithm trains these scenarios to generate a prediction model of spall sizes even for those that have not been modeled by the physical model. Feature extraction is a key factor in the success of this approach. We extract features using two traditional approaches: statistical and physical, and an additional new approach: Time Series FeatuRe Extraction based on Scalable Hypothesis tests (TSFRESH). Experimental evaluation with well-known physical model shows that our approach achieves high accuracy, even in cases that have not been modeled by the physical model. Also, we show that the TSFRESH feature-extraction approach achieves the highest accuracy.

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Section: Background and Problem Definitionmentioning

confidence: 99%

Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes

Tam

Kalech

Rokach

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Niu et al [26] introduced not only the lubrication tractive forces but also two translational DOF for the pedestal motion. Kogan et al [20] combined the model of an angular contact ball bearing to obtain a model for a duplex angular contact ball bearing. Another model for a double-row ball bearing was offered by Zhuo et al [46].…”

Section: Condition-based Maintenance Is An Extended Maintenance Appromentioning

confidence: 99%

“…Other dynamic models are related to other configurations of single-row ball bearings, such as angular-contact ball bearings [5,15,26,42]. There are a few models for double-row ball bearings in the research literature [20,46]. There are some models for roller bearings; these generally focus on cylindrical roller bearings [22,28,36], with a few some models proposed for tapered roller bearings [17].…”

Section: Introductionmentioning

confidence: 99%

Multi-body modelling of rolling element bearings and performance evaluation with localised damage

Leturiondo¹,

Salgado²,

Galar³

2016

EiN

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“…Niu et al 34 not only introduced the lubrication tractive forces but also two-translational DOF for the pedestal motion. Kogan et al 36 combined the model of an angularcontact ball bearing to obtain a model for a duplex angular-contact ball bearing. Another work that presents a model for a double-row ball bearing is that of Zhuo et al, 37 who proposed a three DOF model for self-aligning bearings.…”

Section: Introductionmentioning

confidence: 99%

“…31–35 A few models for double-row ball bearings have been found in the research literature. 36,37 Regarding roller bearings, there are some models for this kind of REB, which are generally focused on cylindrical roller bearings, 38–40 although there are a few such models for tapered roller bearings. 41 Models for other configurations of roller bearings, such as double-row tapered roller bearings and double-row spherical roller bearings, are also proposed by some authors.…”

Section: Introductionmentioning

confidence: 99%

Methodology for the physics-based modelling of multiple rolling element bearing configurations

Leturiondo

Salgado

Galar

2016

Proceedings of the Institution of Mechanical Engineers, Part K:

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Condition-based maintenance is a maintenance strategy which can be employed for monitoring the condition of rolling element bearings (REBs). For that purpose, the physics-based modelling of these machine elements is an interesting approach. There is a wide range of REBs regarding their internal configuration, dimensions and operating conditions. In this paper, a methodology to create a physics-based mathematical model to reproduce the dynamics of multiple kinds of REB is presented. Following a multi-body modelling, the proposed methodology takes advantage of the reusability of models to cover a wide range of bearing configurations, as well as to generalise the dimensioning of the bearing and the application of the operating conditions. The methodology is proved to be valid by its application to two case studies. Simulations of a deep-groove ball bearing and a cylindrical roller bearing are carried out, analysing their dynamic response as well as analysing the effects of damage in their parts. Results of the two case studies show good agreement with experimental data and results of other models in literature.

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Toward a 3D dynamic model of a faulty duplex ball bearing

Cited by 37 publications

References 14 publications

Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes

Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes

Multi-body modelling of rolling element bearings and performance evaluation with localised damage

Methodology for the physics-based modelling of multiple rolling element bearing configurations

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