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Dissertations / Theses on the topic 'Rolling elements bearing'

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1

Degutis, Aurimas. "Naujų riedėjimo guolių defektų diagnostiniai tyrimai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140611_151233-28760.

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Šio tyrimo tikslas yra sukurti, realizuoti ir išbandyti metodą leidžiantį atlikti naujo riedėjimo guolio elementų neardoma diagnostiką ir įvertinti surinkimo kokybę. Norint įvertinti guolio kokybę jo neišardant, pasitelkti virpesių pagreičio signalo stebėsenos ir analizės metodai. Atlikti sekantys uždaviniai siekiant įgyvendinti tyrimo tikslą: • Apžvelgti pramonėje naudojami guolių kokybės įvertinimo metodai. • Sukurtas ir realizuotas metodas naujo guolio kokybei nustatyti. • Praktiškai patikrinta metodo teikiama nauda. • Išnagrinėta suteptų ir nesuteptų guolių įtaką kokybės nustatymui. Atliek
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2

Liu, Chao-Shih. "Fault detection of rolling element bearings /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/7064.

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3

Hamer, Clive. "Smearing in rolling element bearings." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46801.

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4

Li, Yawei. "Dynamic prognostics of rolling element bearing condition." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15847.

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5

Osorno, Daniel. "Rolling element skew measurement in a spherical roller bearing utilizing a CPD probe." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-08242005-140539/.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2006.<br>Steven Danyluk, Committee Chair ; David Sanborn, Committee Member ; Shreyes Melkote, Committee Member. Includes bibliographical references.
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6

Lindsay, Tara Reeves. "Applying Adaptive Prognostics to Rolling Element Bearings." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7568.

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Rolling element bearing failure can cause problems for industries ranging from mild inconveniences such as simple replacement to catastrophic damage such as large production-line equipment failure. Rolling element bearing failure has plagued industries for many years. Bearings are currently monitored to determine whether or not there is a defect in the bearing, but the remaining lifetime of the bearing remains unknown. This research estimates the bearings remaining lifetime through digital signal processing in conjunction with a modified version of Pariss equationa fatigue-failure equation
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7

Ashmore, D. R. "Computational modelling of bearing cage dynamics." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289465.

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8

Johnston, Andrew Beaton. "Condition monitoring of reciprocating compressors and rolling element bearings." Thesis, University of Aberdeen, 1985. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU365562.

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The prefailure detection of faults in operating plant can effect major rewards in both safety and economy. A successful on-condition maintenance philosophy would pay great dividends particularly in the offshore oil industry where -until recently, only token methods have been employed. Many techniques are available for monitoring mechanical plant and several of these are considered in general terms. Industrial methods are subsequently evaluated on reciprocating compressor and rolling element bearing faults. Bearing fault analysis is considered in two stages. Initially, a series of vibration bas
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9

Evans, Ryan David. "Tribological Thin Films on Steel Rolling Element Bearing Surfaces." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1133365793.

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10

Xin, Ge. "Sparse representations in vibration-based rolling element bearing diagnostics." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI051/document.

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Bien que le diagnostic des roulements par analyse vibratoire soit un domaine très développé, la recherche sur les représentations parcimonieuses des signaux de vibration est encore nouvelle et difficile pour le diagnostic des machines tournantes. Dans cette thèse, de méthodes nouvelles ont été développées, au moyen de différents modèles stochastiques, associées à des algorithmes efficaces afin de servir l’industrie dans le diagnostic des roulements. Tout d’abord, les modèles parcimonieux présentés dans la littérature sont revus. Les principales publications concernant le diagnostic des machine
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11

Eroglu, Baris. "Inner Ring Fatigue Analysis Of Rolling Element Bearings." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610421/index.pdf.

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Rolling element bearings are the one of the most widely used machine elements in the industry. The most important criterion in bearing selection is the endurance life. The first attempts on the prediction of the endurance life of rolling elements bearings are done by Lundberg and Palmgren in 1950s (Harris, 1999). Their work adopted as an ANSI, ABMA and ISO standard which is widely used in industry today. The basic assumption of Lundberg-Palmgren formulation is that no matter how small the load applied on rolling element bearing, all material in the stressed volume is subject to fatigue failure
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12

Jamaludin, Nordin. "Monitoring low speed rolling element bearing using stress waves techniques." Thesis, Cranfield University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341044.

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13

Karimi, Mahdi. "Rolling element bearing fault diagnostics using the blind deconvolution technique." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16432/1/Mahdi_Karimi_Thesis.pdf.

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Bearing failure is one of the foremost causes of breakdown in rotating machinery. Such failure can be catastrophic and can result in costly downtime. Bearing condition monitoring has thus played an important role in machine maintenance. In condition monitoring, the observed signal at a measurement point is often corrupted by extraneous noise during the transmission process. It is important to detect incipient faults in advance before catastrophic failure occurs. In condition monitoring, the early detection of incipient bearing signal is often made difficult due to its corruption by background
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14

Karimi, Mahdi. "Rolling element bearing fault diagnostics using the blind deconvolution technique." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16432/.

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Bearing failure is one of the foremost causes of breakdown in rotating machinery. Such failure can be catastrophic and can result in costly downtime. Bearing condition monitoring has thus played an important role in machine maintenance. In condition monitoring, the observed signal at a measurement point is often corrupted by extraneous noise during the transmission process. It is important to detect incipient faults in advance before catastrophic failure occurs. In condition monitoring, the early detection of incipient bearing signal is often made difficult due to its corruption by background
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15

Underwood, Richard John. "The tribological effects of contamination in rolling element bearings." Thesis, Imperial College London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501297.

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16

Sadeghi-Mehr, Mohsen. "Investigation of rolling element bearings for hip joint prostheses." Thesis, Imperial College London, 1998. http://hdl.handle.net/10044/1/8491.

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17

Zhang, Cheng. "Defect detection and life prediction of rolling element bearings." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17658.

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18

Klinger, Edward. "The mechanics of lubricant starvation in rolling element bearings /." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70222.

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This thesis investigates the mechanics of lubricant starvation in rolling element bearings. A hydrodynamic study is made which assumes incompressible, steady, isoviscous flow with body forces negligible. A cylinder on plate mathematical model is utilized to establish an analytical solution for low capillary numbers in sliding contacts. A complete load and stability analysis is obtained for this flow regime.<br>The case of general capillary number is undertaken via a numerical method. A finite volume approach using curvilinear orthogonal coordinates is implemented. A complete grid generator and
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19

Kalapala, Phani Krishna. "VIBRATORY BEHAVIOR OF ROLLING ELEMENT BEARINGS, A LAGRANGIAN APPROACH." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1307044116.

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20

Alley, Erick Shaw. "Influence of microstructure in rolling contact fatigue of bearing steels with inclusions." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28127.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Neu, Richard; Committee Member: Damm, E. Buddy; Committee Member: Gall, Ken; Committee Member: Gokhale, Arun; Committee Member: McDowell, David; Committee Member: Zhou, Min
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21

Williams, Tracy Denise. "Remote condition monitoring of rolling element bearings with natural crack development." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/17243.

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22

Stack, Jason R. "Fault signature detection for rolling element bearings in electric machines." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13276.

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23

Simatrang, Sorn. "Fault Detection for Rolling Element Bearings Using Model-Based Technique." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1436533779.

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24

Lim, Teik Chin. "Vibration transmission through rolling element bearings in geared rotor systems /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687172318.

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25

Faghidi, Hamid. "Non-parametric and Non-filtering Methods for Rolling Element Bearing Condition Monitoring." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30689.

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Rolling element bearings are one of the most significant elements and frequently-used components in mechanical systems. Bearing fault detection and diagnosis is important for preventing productivity loss and averting catastrophic failures of mechanical systems. In industrial applications, bearing life is often difficult to predict due to different application conditions, load and speed variations, as well as maintenance practices. Therefore, reliable fault detection is necessary to ensure productive and safe operations. Vibration analysis is the most widely used method for detection and diagn
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26

Garg, Ayush. "Measurement of Power Losses of Rolling Element Bearings under Tightly ControlledTemperature and Loading Conditions." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587641029699076.

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27

Yang, Da-Ming. "Development of novel intelligent condition monitoring procedures for rolling element bearings." Thesis, University of Aberdeen, 2001. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU151909.

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The primary aim of this thesis is to develop a novel procedure for an intelligent automatic diagnostic condition monitoring system for rolling element bearings. The applicability of this procedure is demonstrated by its implementation in a particular electric motor drive system. The novel bearing condition diagnostic procedure developed involves three stages combining the merits of advanced signal processing techniques, feature extraction methods and artificial neural networks. This procedure is the effective combination of these techniques and methods in a holistic approach to the rolling ele
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28

Kannan, Vigneshwar. "Intelligent Approaches for the Improved Condition Monitoring of Rolling Element Bearings." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/419770.

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Rotational machinery is used for various applications and is commonplace in industry and aviation sectors. Rolling Element Bearings (REBs) play a vital part in the optimal functioning of rotational machinery. They can naturally develop faults through standard operation of machinery over time or at an accelerated rate due to external factors. Undetected faults in REBs that have not been addressed with the appropriate maintenance actions can cause severe damage to the machine. Maintenance and repairs once damage reaches this stage will be relatively more expensive. This will lead to unexpected m
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29

Al-Kahwati, Kammal. "Outlier detection on sparse-encoded vibration signals from rolling element bearings." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76592.

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The demand for reliable condition monitoring systems on rotating machinery for power generation is continuously increasing due to a wider use of wind power as an energy source, which requires expertise in the diagnostics of these systems. An alternative to the limited availability of diagnostics and maintenance experts in the wind energy sector is to use unsupervised machine learning algorithms as a support tool for condition monitoring. The way condition monitoring systems can employ unsupervised machine learning algorithms consists on prioritizing the assets to monitor via the number of anom
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30

Hemmati, Farzad. "Rolling element bearing condition monitoring using acoustic emission technique and advanced signal processing." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43190.

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Acoustic emission (AE) signals generated from defects in rolling element bearings are investigated using simulated defects and experimental measurements in this thesis. Rolling element bearings are crucial parts of many machines and there has been an increasing demand to find effective and reliable health monitoring technique and advanced signal processing to detect and diagnose the size and location of incipient defects. Condition monitoring of rolling element bearings, comprises four main stages which are, statistical analysis, fault diagnostics, defect size calculation, and prognostics. In
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31

Qian, Lu [Verfasser]. "Observer-Based Fault Detection and Estimation of Rolling Element Bearing Systems / Lu Qian." Düren : Shaker, 2019. http://d-nb.info/1190525682/34.

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32

Zhu, Shaocheng. "Contribution to the modeling of rolling element bearing – rotor system for railway application." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI136/document.

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Quelques développements sont démontrés dans cette thèse, du modèle de contact au modèle de roulement et du modèle de roulement-rotor à la technique de reproduction par bancs. Tout d’abord, la méthode de perturbation est étendue afin de prouver que la rigidité et l’amortissement distribués en état stable EHL ne remplissent pas les conditions transitoires et que les coefficients intégrés ne sont pas appropriés pour les analyses dynamiques. La loi de distribution de la rigidité et l’amortissement du film d’huile de l’EHL est proposée. En combinant l’état initial d’une solution stable avec l’amort
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33

Chen, Wenqu. "Direct load monitoring in rolling element bearing by using ultrasonic time of flight." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/10572/.

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Rolling element bearings find widespread use in numerous machines and they are one of key components in involved systems. Bearing failures can cause catastrophic events if they are not detected in time and result in increasing downtime and maintenance cost. The need for longer endurance life with less cost drives research on bearing condition monitoring. Abstract Load monitoring provides significant information for bearing design and residual service life prediction as load applied by each rolling element on a bearing raceway controls friction and wear. It is possible to infer bearing load fro
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34

Junnola, J. (Jarno). "The suitability of low-cost measurement systems for rolling element bearing vibration monitoring." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201705041660.

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The aim of this thesis is to study if inexpensive vibration monitoring systems could be suitable for condition monitoring of rolling element bearings and if they could be able to detect bearing defects at an early stage. As a starting point the following set of requirements for the system have been defined: the system should be priced below 100 €, it should be able to measure the vibrations reaching up to 10 000 Hz frequencies and the amplitude resolution of the system should be at minimum 16-bits. The ability of the system to be part of internet of things (IoT) is also seen as a positive thin
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35

Epps, I. K. "An investigation into vibrations excited by discrete faults in rolling element bearings." Thesis, University of Canterbury. Mechanical Engineering, 1991. http://hdl.handle.net/10092/6025.

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Although the field of vibration monitoring is more than thirty years old a review of the literature revealed a lack of understanding concerning the form of the source of vibrations excited by discrete faults in rolling element bearings. As a rolling element passes through a discrete fault a periodic forcing function is produced that excites oscillations of the bearing and the structure that surrounds it. This forcing function is the source, and the characteristic shape of one period describes the form of the source. The assumption that the form of the source is an impulse is universal through
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36

Gao, Wenjun. "Modelling of windage and churning losses in high speed rolling element bearings." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI048/document.

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Dans un système de machines rotatives comme un moteur à turbine, les paliers d'éléments roulants à grande vitesse jouent un rôle important dans le support de l'arbre ou du rotor rotatif, et ont besoin d'une lubrification pour assurer leur fonction. Sauf qu'une petite quantité d'huile est nécessaire pour former le film lubrifiant élastohydrodynamique dans la zone de contact, la plus grande partie du lubrifiant reste en suspension dans l'air, formant un mélange huile/air. Ce phénomène entraîne des pertes hydrauliques parasitaires excessives lorsque les éléments roulants se translatent et tournen
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37

Ruellan, Du Créhu Arnaud. "Tribological analysis of White Etching Crack (WEC) failures in rolling element bearings." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0116.

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Malgré les innovations technologiques, les éoliennes restent sujettes à des défaillances prématurées de composants mécaniques imposants, ayant des conséquences considérables sur le coût de l’énergie. Parmi les défaillances majeures au sein des roulements d’éoliennes, un mode de fatigue de contact atypique se caractérise par de vastes réseaux de fissures ramifiées avec des phases microstructurales adjacentes d’apparence blanche à l’origine de la dénomination White Etching Cracks (WEC). Contrairement à la fatigue de contact classique, les WEC apparaissent pour un nombre de cycles et des charges
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38

Brossier, Pierre. "Combined analytical and empirical modelling of power losses in rolling element bearings." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI081.

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Le développement de l’industrie du transport conduit la conception de transmissions mécaniques de puissance toujours plus légères et efficientes. Les composants de ces transmissions doivent supporter des efforts transmis dans des environnements de plus en plus restreints. Du fait que les carters soient devenus de plus en plus compacts, les systèmes de refroidissement se sont aussi complexifiés. C’est dans ce contexte que les paliers à roulement, plus communément appelés roulements, doivent produire moins de chaleur, opérer dans des espaces plus proches des engrènements, tout en ayant des durée
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39

Harris, Bradley William. "Anomaly detection in rolling element bearings via two-dimensional Symbolic Aggregate Approximation." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23103.

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Symbolic dynamics is a current interest in the area of anomaly detection, especially in mechanical systems.  Symbolic dynamics reduces the overall dimensionality of system responses while maintaining a high level of robustness to noise.  Rolling element bearings are particularly common mechanical components where anomaly detection is of high importance.  Harsh operating conditions and manufacturing imperfections increase vibration innately reducing component life and increasing downtime and costly repairs.  This thesis presents a novel way to detect bearing vibrational anomalies through Symbol
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40

Joshi, Prasad R. "An elastic contact theory for modeling vibration transmissibility through rolling element bearings." Cincinnati, Ohio : University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1092882073.

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41

Yang, Hongyu. "Automatic Fault Diagnosis of Rolling Element Bearings Using Wavelet Based Pursuit Features." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16062/1/Hongyu_Yang_Thesis.pdf.

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Today's industry uses increasingly complex machines, some with extremely demanding performance criteria. Failed machines can lead to economic loss and safety problems due to unexpected production stoppages. Fault diagnosis in the condition monitoring of these machines is crucial for increasing machinery availability and reliability. Fault diagnosis of machinery is often a difficult and daunting task. To be truly effective, the process needs to be automated to reduce the reliance on manual data interpretation. It is the aim of this research to automate this process using data from machinery
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42

Yang, Hongyu. "Automatic Fault Diagnosis of Rolling Element Bearings Using Wavelet Based Pursuit Features." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16062/.

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Today's industry uses increasingly complex machines, some with extremely demanding performance criteria. Failed machines can lead to economic loss and safety problems due to unexpected production stoppages. Fault diagnosis in the condition monitoring of these machines is crucial for increasing machinery availability and reliability. Fault diagnosis of machinery is often a difficult and daunting task. To be truly effective, the process needs to be automated to reduce the reliance on manual data interpretation. It is the aim of this research to automate this process using data from machinery
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43

Hurley, Susan Rebecca. "Fundamental studies of grease lubrication in elastohydrodynamic contacts." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342330.

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44

Khan, A. F. "Condition monitoring of rolling element bearings : a comparative study of vibration-based techniques." Thesis, University of Nottingham, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292225.

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Salvan, Sebastien M. E. "A cost-effective approach to the condition monitoring of multiple rolling-element bearings." Thesis, Loughborough University, 2004. https://dspace.lboro.ac.uk/2134/34754.

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This thesis describes a methodology to monitor the condition of rolling-element bearings rotating inside an industrial machine. More precisely, the machine looked at is a mail processing machine which has to sort mail for Royal Mail continuously over many hours every day (twenty-two hours per day on average). For such utilisation, machine availability is critical hence the necessity to monitor the condition of every rolling-element bearing during the production time. This would enable maintenance action to be taken on a rolling-element bearing detected as damaged before its critical failure wh
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46

Darshana, Welihena Gamage Sameera. "Diagnosis and prognosis of rolling element bearings using audio signals and deep learning." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2447.

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Condition monitoring and fault diagnosis of industrial equipment have become increasingly important in the wake of the Fourth Industrial Revolution. Unexpected failures of common industrial equipment components, such as rolling-element bearings, can cause production downtime and the resulting financial losses can be significant for large industries including mining. Proactive maintenance strategies can help mitigate unexpected shutdown events. Real-time condition monitoring of industrial equipment plays a critical role in proactive maintenance. This study presents an intelligent diagnostic sys
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47

Abdusslam, Shukri Ali. "Detection and diagnosis of rolling element bearing faults using time encoded signal processing and recognition." Thesis, University of Huddersfield, 2012. http://eprints.hud.ac.uk/id/eprint/17806/.

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This thesis presents a systematic study of using TESPAR (Time Encoded Signal Processing and Recognition), which presently is in use as an effective tool for speech recognition and shows great advantages in computational demands and accuracy, to develop a new technique for rolling element bearing fault detection and diagnosis. The fundamentals of rolling element bearings are presented in line with different failure modes and relevant monitoring methods in the time domain, the frequency domain, the envelope spectrum and the wavelet analysis. These reviews show that vibration measurements are a p
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48

Huang, Huan. "Methods for Rolling Element Bearing Fault Diagnosis under Constant and Time-varying Rotational Speed Conditions." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37566.

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Bearings are among the most commonly used components in rotating machines and bearing fault diagnosis has been widely investigated, especially with vibration signal based techniques. Generally, bearing faults can be diagnosed in the frequency domain since each type of fault has a specific Fault Characteristic Frequency (FCF) proportional to the rotational frequency. However, this approach is complicated by the facts that: (1) bearing vibration signals are often contaminated by random noise and interference signals transmitted from other sources, (2) bearings often operate under time-varying sp
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49

Mutyala, Kalyan Chakravarthi. "Influence of Metallic, Dichalcogenide, and Nanocomposite Tribological Thin Films on The Rolling Contact Performance of Spherical Rolling Elements." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1447751680.

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50

SHI, Juanjuan. "Morphology-based Fault Feature Extraction and Resampling-free Fault Identification Techniques for Rolling Element Bearing Condition Monitoring." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33422.

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As the failure of a bearing could cause cascading breakdowns of the mechanical system and then lead to costly repairs and production delays, bearing condition monitoring has received much attention for decades. One of the primary methods for this purpose is based on the analysis of vibration signal measured by accelerometers because such data are information-rich. The vibration signal collected from a defective bearing is, however, a mixture of several signal components including the fault-generated impulses, interferences from other machine components, and background noise, where fault-induce
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