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Dissertations / Theses on the topic 'Machinery vibration monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Riley, Caryn M. "Current-based sensorless vibration monitoring of small ac machines." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13741.

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2

Smit, Wynand Gerhardus. "Fan blade damage detection using on-line vibration monitoring." Diss., Pretoria : [s.n.], 2002. http://upetd.up.ac.za/thesis/available/etd-11302005-091637/.

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3

Macintyre, John. "Condition monitoring and neural networks." Thesis, University of Sunderland, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297129.

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4

Wang, KeSheng. "Vibration monitoring on electrical machine using Vold-Kalman filter order trackin." Pretoria : [s.n.], 2008. http://upetd.up.ac.za/thesis/available/etd-08282008171945/.

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5

Eggers, Berndt Leonard. "Draglines gear monitoring under fluctuating conditions /." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-08272008-134253/.

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6

Ronval, Gilles P. L. "Automatic modal analysis and taxonomy for vibration signature recognition." Thesis, University of Huddersfield, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305084.

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7

Nembhard, Adrian. "On-bearing vibration response integration for condition monitoring of rotating machinery." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/onbearing-vibration-response-integration-for-condition-monitoring-of-rotating-machinery(f713f156-11f3-4e10-846e-0b9b709f0ff9).html.

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Vibration-based fault diagnosis (FD) with a simple spectrum can be complex, especially when considering FD of rotating machinery with multiple bearings like a multi-stage turbine. Various studies have sought to better interpret fault spectra, but the process remains equivocal. Consequently, it has been accepted that the simple spectra requires support from additional techniques, such as orbit analysis. But even orbit analysis can be inconclusive. Though promising, attempts at developing viable methods that rival the failure coverage of spectrum analysis without gaining computational complexity

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8

Soltani, Bozchalooi Iman. "Bearing vibration and oil debris signal enhancement for machinery condition monitoring." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27486.

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Vibration signal and lubricant oil condition are two major sources of information for machine health condition monitoring. Though vibration signal is an indirect indicator of machine conditions, it contains very rich information. On the other hand, the lubricating oil analysis provides a direct indicator of machine health conditions. The joint use of the two sources of information would compensate for their limitations and thus better maintenance actions can be expected. However, this alone is not sufficient since the two sources are often severely contaminated by background and machine interf

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9

Aini, Reza. "Vibration monitoring and modelling of shaft/bearing assemblies under concentrated elastohydrodynamic condition." Thesis, Kingston University, 1990. http://eprints.kingston.ac.uk/20759/.

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A five degrees of freedom analysis of a perfect precision grinding spindle supported by a pair of back to back angular contact ball bearings is performed. The ball to race contacts are simulated by a non-linear contact spring, representing the elastic deformation of the mating rolling members. Major frequencies associated with various degrees of freedom are observed and a number of design curves, suggesting the best zones of operation for the simulated spindle under radial/ axial loading are also presented. The gyroscopic contribution of an ideal precision spindle was found to be insignificant

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10

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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11

Paya, Basir Abdul. "Vibration condition monitoring and fault diagnostics of rotating machinery using artificial neural networks." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390220.

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12

Liu, Chao-Shih. "Analysis, approach and assessment of vibration criteria in shipboard machinery condition monitoring and diagnostics." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA276583.

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13

Lee, Sang-Kwon. "Adaptive signal processing and higher order time frequency analysis for acoustic and vibration signatures in condition monitoring." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242731.

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14

Tompkins, Nicholas William. "Design of a Machine Condition Monitoring System with Bluetooth Low Energy." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984239/.

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15

Larsen, Christopher G. "Structural FRF Measurements up to 50 kHz to Assist Frequency Band Selection for Machinery Health Monitoring." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337715377.

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16

Firla, Marcin. "Automatic signal processing for wind turbine condition monitoring. Time-frequency cropping, kinematic association, and all-sideband demodulation." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT006/document.

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Cette thèse propose trois méthodes de traitement du signal orientées vers la surveillance d’état et le diagnostic. Les techniques proposées sont surtout adaptées pour la surveillance d’état, effectuée à la base de vibrations, des machines tournantes qui fonctionnent dans des conditions d’opération non-stationnaires comme par exemple les éoliennes mais elles ne sont pas limitées à un tel usage. Toutes les méthodes proposées sont des algorithmes automatiques et gérés par les données.La première technique proposée permet de sélectionner la partie la plus stationnaire d’un signal en cadrant la rep

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17

Cédric, Peeters. "Advanced signal processing for the identification and diagnosis of the condition of rotating machinery." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI107.

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Cette thèse porte sur des méthodes innovantes de contrôle de l'état de santé des machines tournantes par l’analyse des signaux vibratoires. En effet, la surveillance de l’état de santé des machines contribue à des améliorations substantielles des points de vue économique et de sureté. Afin d’y aboutir, l’une des manières les plus populaires est de recueillir les vibrations de la machine. La plupart de ces vibrations sont directement liées au comportement périodique des sous-systèmes de la machine tels que les arbres de rotation, engrenages, champs électriques rotationnels, etc. Cette connaissa

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18

Zhou, Wei. "Incipient Bearing Fault Detection for Electric Machines Using Stator Current Noise Cancellation." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19706.

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The objective of this research is to develop a bearing fault detection scheme for electric machines via stator current. A new method, called the stator current noise cancellation method, is proposed to separate bearing fault-related components in the stator current. This method is based on the concept of viewing all bearing-unrelated components as noise and defining the bearing detection problem as a low signal-to-noise ratio (SNR) problem. In this method, a noise cancellation algorithm based on Wiener filtering is employed to solve the problem. Furthermore, a statistical method is proposed to

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19

Linessio, Rafael Pomorski. "Caracterização de um acelerômetro óptico biaxial para monitoramento de vibrações em máquinas elétrica." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2025.

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CAPES; CNPQ; FINEP; FA; SETI<br>Este trabalho tem como objetivo implementar, caracterizar, calibrar e testar um acelerômetro óptico biaxial para o monitoramento de vibrações em máquinas elétricas. São apresentados os métodos convencionais de sensoriamento e sistemas ópticos para a análise de vibrações. O acelerômetro proposto tem como elemento sensor as redes de Bragg em fibra óptica, onde a oscilação da massa inercial provoca a alteração do comprimento de onda de Bragg conforme o deslocamento da base do sensor. O acelerômetro óptico biaxial permite a medição da aceleração em duas direções ort

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20

Abboud, Dany. "Vibration-based condition monitoring of rotating machines in nonstationary regime." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0106/document.

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Dans les dernières décennies, la surveillance vibratoire des machines tournantes a acquis un intérêt particulier fournissant une aide efficace pour la maintenance dans l'industrie. Aujourd'hui, de nombreuses techniques efficaces sont bien établies, ancrées sur des outils puissants offerts notamment par la théorie des processus cyclostationnaires. Cependant, toutes ces techniques reposent sur l'hypothèse d’un régime de fonctionnement (c.à.d. vitesse et/ou charge) constant ou éventuellement fluctuant d’une façon stationnaire. Malheureusement, la plupart des machines surveillées dans l'industrie

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21

Lee, Sun Ung. "Dynamics of high-speed rotating machines." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326078.

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22

Chen, Zhidong. "Machine condition monitoring based on the analysis of transient vibration signals." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/NQ58400.pdf.

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23

Hansson, Johan. "Detection of Long Term Vibration Deviations in GasTurbine Monitoring Data." Thesis, Linköpings universitet, Fordonssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170266.

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Condition based monitoring is today essential for any machine manufacturer tobe able to detect and predict faults in their machine fleet. This reduces the maintenancecost and also reduces machine downtime. In this master’s thesis twoapproaches are evaluated to detect long term vibration deviations also called vibrationanomalies in Siemens gas turbines of type SGT-800. The first is a simplerule-based approach where a series of CUSUM test are applied to several signalsin order to check if the an vibration anomaly has occurred. The secondapproach uses three common machine learning anomaly detecti

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24

Ou, Qing. "Vibration-based Energy Harvesting for Wireless Sensors used in Machine Condition Monitoring." Thesis, University of Canterbury. Mechanical Engineering, 2012. http://hdl.handle.net/10092/7234.

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In a wide range of industries, machine condition monitoring is one of the most cost effective ways to minimise maintenance efforts and machine downtime. To implement such a system, wireless solutions have increasingly become an attractive proposition due to the ease of installation and minimal infrastructure alternation. However, currently most wireless sensors in the world are powered by a finite battery source. The dependence of batteries not only requires frequent maintenance, but also has adverse environmental consequences associated with battery disposal. These reasons render massive depl

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25

Torres, Pérez Eduardo. "Study of vibration severity assessment for Machine Tool spindles within Condition Monitoring." Thesis, KTH, Industriell produktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200928.

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Today, machine tools are indispensable for production of manufactured goods. Several industries rely in this equipment to manufacture finished products by removing material through different cutting operations. Automobile, military and aerospace are just examples of industries where machine tools are used intensively. Today these industries strive for higher precision, narrower tolerances and more productivity in order to develop higher quality products using lesser resources and minimizing the impact on the environment.Condition Based Maintenance CBM program has been proved as an effective pr

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26

Storozhev, Dmitry Leonidovich. "Smart Rotating Machines for Structural Health Monitoring." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991.

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27

Gubran, Ahmed. "Vibration diagnosis of blades of rotating machines." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/vibration-diagnosis-of-blades-of-rotating-machines(40f1d466-b393-42f6-a65a-e16801f06920).html.

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Rotating blades are considered to be the one of the most common cause of failures in rotating machinery. Blade failure modes normally occur as a result of cracks due to unexpected operating conditions, which are normally caused by accidents of foreign objects damage, high cycle fatigue, blade rubbing, blade root looseness, and degradation from erosion and corrosion. Thus, detection of blade faults has an important role in reducing blade related failures and allowing repairs to be scheduled for the machinery. This in turn will lead to reduction in maintenance costs and thus raise productivity a

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28

Wang, Hong. "MACHINE HEALTH MONITORING OF ROTOR-BEARING-GEAR TRANSMISSION SYSTEM." University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1133281063.

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29

Calabrese, Francesca. "Vibration Monitoring and Intelligent Diagnosis Tools for Condition-Based Maintenance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Ogni impianto di produzione è caratterizzato da periodi di operatività, nei quali funziona correttamente, e da periodi di fermo, dovuti alla presenza di guasti o all’esigenza di effettuare attività volte a ristabilire il suo normale comportamento. L’obiettivo principale della funzione manutenzione è minimizzare i periodi di fermo impianto, al fine di renderlo il più disponibile possibile. Attualmente, la manutenzione basata su condizione (CBM) è una delle più politiche più efficaci adottate dalle industrie. Essa è basata sul monitoraggio di diversi parametri della macchina che ne riflettono

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30

Elnady, Maged Elsaid. "On-shaft vibration measurement using a MEMS accelerometer for faults diagnosis in rotating machines." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/onshaft-vibration-measurement-using-a-mems-accelerometer-for-faults-diagnosis-in-rotating-machines(cf9b9848-972d-49ff-a6b0-97bef1ad0e93).html.

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The healthy condition of a rotating machine leads to safe and cheap operation of almost all industrial facilities and mechanical systems. To achieve such a goal, vibration-based condition monitoring has proved to be a well-accepted technique that detects incipient fault symptoms. The conventional way of On-Bearing Vibration Measurement (OBVM) captures symptoms of different faults, however, it requires a relatively expensive setup, an additional space for the auxiliary devices and cabling in addition to an experienced analyst. On-Shaft Vibration Measurement (OSVM) is an emerging method proposed

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31

Ahnesjö, Henrik. "Fault detection of planetary gearboxes in BLDC-motors using vibration and acoustic noise analysis." Thesis, Uppsala universitet, Institutionen för elektroteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-425966.

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This thesis aims to use vibration and acoustic noise analysis to help a production line of a certain motor type to ensure good quality. Noise from the gearbox is sometimes present and the way it is detected is with a human listening to it. This type of error detection is subjective, and it is possible for human error to be present. Therefore, an automatic test that pass or fail the produced Brush Less Direct Current (BLDC)-motors is wanted. Two measurement setups were used. One was based on an accelerometer which was used for vibration measurements, and the other based on a microphone for acou

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32

Sellami, Takwa. "Contribution à l’usage de l’analyse vibratoire comme outils de monitoring et de diagnostic d’avaries pour les machines électriques tournantes." Thesis, Cergy-Pontoise, 2017. http://www.theses.fr/2017CERG0915.

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Les capacités installées d’énergie éolienne continuent à croître rapidement et prennent une place de plus en plus significative dans le monde. Au fur et à mesure, les études menées sur la conception, la sureté de fonctionnement et la supervision de la chaîne éolienne ont pris progressivement de l’importance. Deux axes de recherche ont été privilégiés dans cette thèse. Le premier concerne la continuité de service d'une éolienne connectée au réseau en présence de défaut de court-circuit entre spires dans une phase du stator de la génératrice asynchrone à cage d'écureuil. L'analyse du défaut ains

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33

Honc, Lukáš. "Řádová analýza signálů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240940.

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This master's thesis deals with order analysis. The first part of the thesis describes common methods for order analysis and methods for processing tacho and vibration signal. The second part contains a brief description of some open source tools for order analysis focusing on Sound and Vibration Measurement Suite (SVMS) package for LabVIEW by National Instruments company. The main purpose of the thesis has been designing and realization of own library for order analysis as a plugin for development tool LabVIEW. In the library, there are implemented methods for order analysis including basic f

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34

Marčišovský, Peter. "Zpracování signálu z akcelerometru na měření vibrací." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413224.

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Táto diplomová práca sa zaoberá návrhom zariadenia schopného vysoko presného merania vibrácií za použitia piezoelektrického akcelerometra. Zariadenie je určené na vyhodnocovanie zdravotného stavu strojov, najmä elektrických strojov ako elektromotor, veterná turbína a iné. Za účelom dosiahnutia vysoko presného a vysoko lineárneho merania v spektre extrémne nízkych frekvencií siahajúcich až ku jednosmerným napätím, cez sub-hertzové pásma po desiatky hertzov, ale aj vo vyšších frekvenciách, bola vyžadovaná možnosť použitia prístupu s jednosmernou väzbou zvaného "posúvanie napäťovej úrovne" a násl

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35

Baronti, Mattia. "Identificazione e localizzazione del danno in strutture reticolari mediante modi di vibrare e reti neurali artificiali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il presente elaborato è finalizzato a determinare un metodo di indagine che consenta l’identificazione e la valutazione di danneggiamenti in strutture reticolari, mediante l’utilizzo di modi di vibrare e reti neurali artificiali. Nell’ambito dell’ingegneria civile, con il termine Structural Health Monitoring, si identificano le metodologie di monitoraggio che permettono l’individuazione di anomalie strutturali, consentendo la valutazione, in modo continuo ed automatizzato, dello stato di salute di un’opera. Metodologie Deep Learning, applicate allo SHM, sono al centro della ricerca scientifica

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36

Kerroumi, Sanaa. "Extraction des paramètres et classification dynamique dans le cadre de la détection et du suivi de défaut de roulements." Thesis, Reims, 2016. http://www.theses.fr/2016REIMS007/document.

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Parmi les techniques utilisées en maintenance, l'analyse vibratoire reste l'outil le plus efficace pour surveiller l'état interne des machines tournantes en fonctionnement. En effet l'état de chaque composant constituant la machine peut être caractérisé par un ou plusieurs indicateurs de défaut issus de l'analyse vibratoire. Le suivi de ces indicateurs permet de détecter la présence d'un défaut et même de le localiser. Cependant, l'évolution de ces indicateurs peut être influencée par d'autres paramètres comme la variation de charge, la vitesse de rotation ou le remplacement d'un composant. Ce

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37

Wang, KeSheng. "Vibration monitoring on electrical machine using Vold-Kalman filter order tracking." Diss., 2008. http://hdl.handle.net/2263/27613.

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Conventional rotating machine vibration monitoring techniques are based on the assumption that changes in the measured structural response are caused by deterioration in the condition of the rotating machine. However, due to changing rotational speed, the measured signal may be non-stationary and difficult to interpret. For this reason, the order tracking technique was introduced. One of main advantages of order tracking over traditional vibration monitoring techniques, lies in its ability to clearly identify non-stationary vibration data, and to a large extent exclude the influences from vary

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38

Nkuna, Jay Shipalani Rhulani. "Vibration condition monitoring and fault classification of rolling element bearings utilising Kohonen's self-organising maps." Thesis, 2006. http://hdl.handle.net/10352/140.

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Thesis. (M. Tech. (Mechanical Engineering))--Vaal University of Technology<br>Bearing condition monitoring and fault diagnosis have been studied for many years. Popular techniques are applied through advanced signal processing and pattern recognition technologies. The subject of the research was vibration condition monitoring of incipient damage in rolling element bearings. The research was confined to deep-groove ball bearings because of their common applications in industry. The aim of the research was to apply neural networks to vibration condition monitoring of rolling element bearings.

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Scheffer, Cornelius. "Monitoring of tool wear in turning operations using vibration measurements." Diss., 2000. http://hdl.handle.net/2263/30483.

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This study investigates the use of vibration and strain measurements on machine tools in order to identify the propagating wear of the selected tools. Two case studies are considered, one of which was conducted in the plant of a South African piston manufacturer. The purpose of the ftrst case study was to investigate the feasibility of vibration monitoring to identify tool wear, before attempting to implement a monitoring system in the manufacturing plant. During this case study, data from a turning process was recorded using two accelerometers coupled to a PL202 real time FFT analyser. Featur

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Morgan, Wani Jamaal, and 摩根. "Study of Performance Monitoring of a Plastic Injection Moulding Machine with Vibration Signal Analysis." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2h8965.

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碩士<br>崑山科技大學<br>機械工程研究所<br>106<br>Plastic injection moulding is a manufacturing process by which molten plastic material is injected into a mould and later solidifies to form moulded plastic parts. Due to growing industrial demand accelerated by competition, a major challenge is to efficiently and effectively mould products that meet specific quality attributes required by costumers. For such manufactured parts, geometrical appearance and part weight are two important measures of quality. Herein, a combination of Vibration Analysis and Artificial Neural Network is employed in a cost-effective

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41

WEI, NG CHOON, and 黃俊衛. "An Intelligent Sensor with Vibrations and Pressures Measurement for Automated Polishing Machine Monitoring." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9vh4rk.

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碩士<br>南臺科技大學<br>電機工程系<br>107<br>The surface grinding and polishing process in traditional industries mainly rely on manual operation, which is not only inefficient, but also harmful to the labors’ health with the noise and particle pollution generated. With the development of Industry 4.0, robotic arms are widely used in all kinds of factories. In order to improve the accuracy and reproducibility of automated polishing machines in production process, functions like real-time monitoring and anomaly detection are added, and it is expected to apply robotic arms to polishing and grinding process,

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Scheffer, Cornelius. "Development of a wear monitoring system for turning tools using artificial intelligence." Thesis, 2003. http://hdl.handle.net/2263/28640.

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Please read the abstract (Summary) in the 00front part of this document<br>Thesis (PhD (Mechanical Engineering))--University of Pretoria, 2006.<br>Mechanical and Aeronautical Engineering<br>unrestricted

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Jui-MinTsai and 蔡瑞敏. "Design and Realization of a Novel Sensing Module for Machine Tool Vibration Monitoring by Integrating Multiple MEMS Accelerometers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/98ubmc.

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碩士<br>國立成功大學<br>機械工程學系<br>106<br>In this thesis a design to form a vibrating sensing module by integrating several MEMS accelerometers with different dynamic characteristics is proposed and investigated. By such an approach, a low cost accelerometer with better dynamic behavior at any frequencies is expected. This work presents the preliminary study toward this goal. The primary test results on the dynamic performance characterization indicated that those MEMS accelerometers are potentially capable for measuring vibrations of machine tools. The in-situ on spindle also indicated that the perfor

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Bettig, Bernhard Paul. "Development of an interactive object-oriented program to model hydraulic turbine-generator lateral vibrations for machine health monitoring." 1995. http://hdl.handle.net/1993/18765.

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45

Oliveira, Ana Margarida Aires Cancelinha. "Monitorização de máquinas industriais recorrendo a técnicas de Data Mining e Machine Learning." Master's thesis, 2017. http://hdl.handle.net/1822/57386.

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores<br>Hoje em dia, está-se perante uma 4ª revolução industrial marcada pela utilização das tecnologias da informação nos processos industriais. A monitorização contínua de vários parâmetros que contribuem para o bom funcionamento das máquinas é um processo que engloba uma grande recolha de dados e a sua análise. Estes dados recolhidos contêm muita informação útil que pode ser utilizada para uma melhor execução de tarefas ou tomada de decisões. Um sistema de monitorização, que recorre a Data Mining e Machine Lea

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46

(9293561), Rih-Teng Wu. "Development and Application of Big Data Analytics and Artificial Intelligence for Structural Health Monitoring and Metamaterial Design." Thesis, 2020.

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<p>Recent advances in sensor technologies and data acquisition platforms have led to the era of Big Data. The rapid growth of artificial intelligence (AI), computing power and machine learning (ML) algorithms allow Big Data to be processed within affordable time constraints. This opens abundant opportunities to develop novel and efficient approaches to enhance the sustainability and resilience of Smart Cities. This work, by starting with a review of the state-of-the-art data fusion and ML techniques, focuses on the development of advanced solutions to structural health monitoring (SHM) and met

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