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An Adaptive Remaining Useful Life Prediction Method for Hybrid Ceramic Bearing

Yong-Zhi QU, David HE
2017 DEStech Transactions on Engineering and Technology Research  
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

Feng Liu, Qiming Niu, Qingbin Tong, Junci Cao, Yihuang Zhang
2019 Journal of Vibroengineering  
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

Zeina Al Masry, Patrick Schaible, Noureddine Zerhouni, Christophe Varnier, N. Moubayed
2019 MATEC Web of Conferences  
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  
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

J.K. Kimotho, C. Sondermann-Wolke, T. Meyer, W. Sextro
2013 Chemical Engineering Transactions  
, 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

I. Durazo-Cardenas, A. Starr, R. Sousa, J. Ferreira, A. Mota, M. Kram, G. Hughes, P. Bytnar, F. Bel
2018 Procedia Manufacturing  
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

Zhiliang Liu, Ming J Zuo, Yong Qin
2015 Proceedings of the Institution of mechanical engineers. Part C, journal of mechanical engineering science  
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

D. He, Ruoyu Li, Junda Zhu, M. Zade
2011 IEEE Transactions on Neural Networks  
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

Jason Deutsch, Miao He, David He
2017 Applied Sciences  
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

Satish Kumar, Paras Kumar, Girish Kumar
2021 Eksploatacja i Niezawodnosc  
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

Daniel Sanchez Garrido, Samuel Leventini, Ashlie Martini
2021 Lubricants  
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

Simon Walther, Axel Fuerst
2022 Applied Sciences  
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

Christophe Bovet, Laurent Zamponi
2016 Mechanism and Machine Theory  
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]

Gabriel San Martín, Enrique López Droguett
2021 arXiv   pre-print
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

Sriram Pattabhiraman, George Levesque, Nam H. Kim, Nagaraj K. Arakere
2010 International Journal of Solids and Structures  
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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