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An Adaptive Remaining Useful Life Prediction Method for Hybrid Ceramic Bearing
2017
DEStech Transactions on Engineering and Technology Research
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The prediction of Remaining Useful Life (RUL) of ceramic bearings remains a new topic. One of the most challenging problems in the prognostic task is the lack of accurate prediction model. ...
In this paper, a particle filtering based method for hybrid ceramic bearing RUL prediction is presented. ...
Saha and Goebel [12] utilized PF to predict the remaining useful life of the Li-ion battery. Cadini et al. [13] use PF based algorithm for modeling fatigue crack growth. ...
doi:10.12783/dtetr/mdm2016/4923
fatcat:u2ighq4n6bcj7auuurc5bqokju
On-line prediction remaining useful life for ball bearings via grey NARX
2019
Journal of Vibroengineering
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This paper presents a hybrid nonlinear autoregressive network with exogenous inputs (NARX) model to forecast the remaining useful life of ball bearings through health index based on big vibration data ...
It can meet the needs of actual ball bearing remaining useful life prediction and also provide reference in other fields. ...
Secondly, a hybrid method is introduced to predict the remaining useful life of ball bearings based on health index from vibration signals. ...
doi:10.21595/jve.2018.20120
fatcat:lqh7rr2h6nfkbbfv5vseadm6l4
Remaining useful life prediction for ball bearings based on health indicators
2019
MATEC Web of Conferences
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Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. ...
For this purpose, we propose a model, which is based on health indicators information, that allows to estimate the RUL of ball bearings. ...
We here are interested in the third pillar (prognostic) for ball bearings modeling, which aims to predict the remaining useful life (RUL) of the system. ...
doi:10.1051/matecconf/201926102003
fatcat:cquzcwpadrftbazbhmpyxkzr2q
Effect of Silicon Nitride Balls and Rollers on Rolling Bearing Life
2005
Tribology Transactions
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Under these conditions, hybrid bearings are predicted to have a lower fatigue life than all-steel bearings by 58 percent for deep-groove bearings, 41 percent for angular-contact bearings, and 28 percent ...
The silicon nitride rolling-element life as well as the lives of the steel races were used to determine the resultant bearing life of both hybrid and all-steel bearings. ...
Using the Lundberg-Palmgren equations, the life of the hybrid bearing is predicted to be less than an all-steel bearing of the same type. ...
doi:10.1080/05698190500225011
fatcat:uk53ahw55neddngv3ztsdgahpy
Machinery Prognostic Method Based on Multi-Class Support Vector Machines and Hybrid Differential Evolution – Particle Swarm Optimization
2013
Chemical Engineering Transactions
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, from which the remaining useful life (RUL) is predicted. ...
The feasibility of the method is validated using bearing prognostic run-to-failure data obtained from NASA public data repository. ...
Acknowledgement The authors wish to acknowledge the support of the Chair, Department of Mechatronics and Dynamics, University of Paderborn, German Academic Exchange Service (DAAD) and the Ministry of Higher ...
doi:10.3303/cet1333104
doaj:56ca7a41531d47379b9ee8c19f1c2a44
fatcat:ilxngfqlmfevdplkm462v2ayby
Towards health monitoring of hybrid ceramic bearings in aircraft starter/generators
2018
Procedia Manufacturing
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test bearing to be used for data generation and algorithm validation. ...
test bearing to be used for data generation and algorithm validation. ...
Acknowledgements This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under grant agreement No 687091 "Intelligent Bearing ...
doi:10.1016/j.promfg.2018.01.008
fatcat:bohwthnrtbaojg37u75qp37j64
Remaining useful life prediction of rolling element bearings based on health state assessment
2015
Proceedings of the Institution of mechanical engineers. Part C, journal of mechanical engineering science
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Remaining useful life (RUL) prediction is one of key technologies to realize prognostics and health management that is being widely applied in many industrial systems to ensure high system availability ...
The present work proposes a data-driven method of RUL prediction based on multiple health state assessment for rolling element bearings. ...
In this section, we propose a hybrid approach that uses both unsupervised and supervised learning technologies to build a model for health state assessment. ...
doi:10.1177/0954406215590167
fatcat:kepijwzzbvgppo6gmbr6ty2dp4
Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors
2011
IEEE Transactions on Neural Networks
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These CIs are used to build a data mining based fault classifier using a k-nearest neighbor (KNN) algorithm. ...
Seeded fault tests on full ceramic bearing outer race, inner race, balls, and cage are conducted on a bearing diagnostic test rig and AE burst data are collected. ...
ACKNOWLEDGEMENT The authors would like to thank the associate editor and three referees for their helpful comments on the vision of the paper. ...
doi:10.1109/tnn.2011.2169087
pmid:21990335
fatcat:idrqu2txavalxm6jzsdubweupa
Remaining Useful Life Prediction of Hybrid Ceramic Bearings Using an Integrated Deep Learning and Particle Filter Approach
2017
Applied Sciences
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Predicting remaining useful life (RUL) of bearings has been an important task for condition-based maintenance of industrial machines. ...
Real data collected from hybrid ceramic bearing run-to-failure tests were used to test and validate the integrated method. ...
Miao He was responsible for the run to fail trajectories of the hybrid ceramic bearings in the experimental setup. ...
doi:10.3390/app7070649
fatcat:3v75mlkj3veavlujyn6f55xq6y
Degradation assessment of bearing based on machine learning classification matrix
2021
Eksploatacja i Niezawodnosc
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A classification model which is based on machine learning classification matrix to assess the degradation of bearing is proposed to improve the accuracy of classification model. ...
Diagnostic and prognostic models based on data driven perspective have been used in the prior research work to improve the bearing degradation assessment. ...
Remaining useful life of a ball bearing was predicated using classification and regression techniques. ...
doi:10.17531/ein.2021.2.20
fatcat:wcrzvh33m5aqroytctuw76xsne
Effect of Temperature and Surface Roughness on the Tribological Behavior of Electric Motor Greases for Hybrid Bearing Materials
2021
Lubricants
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Greased bearings in electric motors (EMs) are subject to a wide range of operational requirements and corresponding micro-environments. ...
Results enabled direct comparison of market-available products across different application-relevant metrics, and the analysis methods developed can be used as a baseline for future studies of EM grease ...
Lastly, some of the 4-ball tests were performed by undergraduate students in the research group, Colin Cox, Alex McCollum, Jose Morales, and Eddie Santiago. ...
doi:10.3390/lubricants9060059
fatcat:6g4o7luw2ve3zcd3uzgqbykzte
Reduced Data Volumes through Hybrid Machine Learning Compared to Conventional Machine Learning Demonstrated on Bearing Fault Classification
2022
Applied Sciences
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To develop a well-functioning model with a small training set the hybrid machine learning approach, the combination of different methods can be applied. ...
In this work, the conventional and hybrid approach are compared to the application of ball bearing fault classification. The dataset contains 12 different classes (11 with faults and 1 undamaged). ...
If a ball bearing is overloaded, this can lead to rolling body marks. This case is reproduced with a static overload of the bearing. The used bearing type is 6203 from SKF. ...
doi:10.3390/app12052287
fatcat:wawzcioomjgm3fzxvbvuuzzb74
An approach for predicting the internal behaviour of ball bearings under high moment load
2016
Mechanism and Machine Theory
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This paper presents a modelling approach for predicting the internal dynamic behaviour of ball bearings under high moment loads. ...
The cage-race interaction is treated as a hybrid short journal model, which ensures continuity of the contact force at the transition from the hydrodynamic to metal-to-metal regime. ...
Acknowledgement The authors would like to thank the Airbus Helicopters Company for permission to publish this work. ...
doi:10.1016/j.mechmachtheory.2016.03.002
fatcat:uvmhywuhlrgbtpvajuvur56e3u
Quantum Machine Learning for Health State Diagnosis and Prognostics
[article]
2021
arXiv
pre-print
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In this paper, we present a hybrid quantum machine learning framework for health state diagnostics and prognostics. The framework is exemplified using a problem involving ball bearings dataset. ...
To the best of our knowledge, this is the first attempt to harvest and leverage quantum computing to develop and apply a hybrid quantum-classical machine learning approach to a prognostics and health management ...
[1] , the prediction of remaining useful life [2] or Bayesian analysis within complex and connected systems [3] . ...
arXiv:2108.12265v1
fatcat:fqhcgydkdveepf7babphn3ihgm
Uncertainty analysis for rolling contact fatigue failure probability of silicon nitride ball bearings
2010
International Journal of Solids and Structures
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In order to apply the current study to hybrid ball bearing design, the survivability results are generalized through non-dimensionalization. ...
Ball survivability increases with decreasing ball diameter, for a given peak Hertzian stress. ...
Herb Chin of Pratt & Whitney, East Hartford, CT, for insight into surface flaw distributions and NDE procedures used in hybrid ball bearing manufacturing. ...
doi:10.1016/j.ijsolstr.2010.05.018
fatcat:bi6rnjz5abhl5nl673f3gl5qmm
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