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Dissertations / Theses on the topic 'Vibration-based condition monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Esu, Ozak O. "Vibration-based condition monitoring of wind turbine blades." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/21679.

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Significant advances in wind turbine technology have increased the need for maintenance through condition monitoring. Indeed condition monitoring techniques exist and are deployed on wind turbines across Europe and America but are limited in scope. The sensors and monitoring devices used can be very expensive to deploy, further increasing costs within the wind industry. The work outlined in this thesis primarily investigates potential low-cost alternatives in the laboratory environment using vibration-based and modal testing techniques that could be used to monitor the condition of wind turbin

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2

Rehman, Anees ur. "Vibration-based condition monitoring of a turbomachinery bladed system." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2557/.

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3

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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4

Ibrahim, Ghalib Rzayyig. "Design and implementation of gearboxes vibration based condition monitoring system." Thesis, Manchester Metropolitan University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543248.

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The use of gearboxes for power transfer is widespread throughout industry. However, machines today are operating at higher speeds than ever before and gear wear and fatigue failures are serious and legitimate concerns. Incipient fault detection in gears has thus become the subject of intensive investigation and at this stage of development there are many competing condition monitoring methods based on vibration signal analysis. Vibration signals obtained from a gearbox were complex multi-component signals, generated by tooth meshing, gear shaft rotation, gearbox resonance vibration signatures

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5

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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6

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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7

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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8

Abouhnik, Abdelnasser Abouzid. "An investigation into vibration based techniques for wind turbine blades condition monitoring." Thesis, Manchester Metropolitan University, 2012. http://e-space.mmu.ac.uk/313141/.

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The rapid expansion of wind power has been accompanied by reported reliability problems and the aim is to provide a means of increasing wind turbine reliability, prevent break downs, increase availability and reduce maintenance costs and power outages. This research work reports the development of condition monitoring (CM) for early fault detection in wind turbine blades based on vibration measurements. The research started with a background and a survey of methods used for monitoring wind turbines. Then, finite element modelling (FEM) of three bladed horizontal axis wind turbine (HAWT) was de

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9

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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10

Brethee, Khaldoon F. "Condition monitoring of helical gear transmissions based on vibration modelling and signal processing." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34519/.

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Condition monitoring (CM) of gear transmission has attracted extensive research in recent years. In particular, the detection and diagnosis of its faults in their early stages to minimise cost by maximising time available for planned maintenance and giving greater opportunity for avoiding a system breakdown. However, the diagnostic results obtained from monitored signals are often unsatisfactory because mainstream technologies using vibration response do not sufficiently account for the effect of friction and lubrication. To develop a more advanced and accurate diagnosis, this research has foc

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11

Elbarghathi, Fathalla. "Condition monitoring of helical gearboxes based on the advanced analysis of vibration signals." Thesis, University of Huddersfield, 2016. http://eprints.hud.ac.uk/id/eprint/30647/.

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Condition monitoring of rotating machinery and machine systems has attracted extensive researches, particularly the detection and diagnosis of machine faults in their early stages to minimise maintenance cost and avoid catastrophic breakdowns and human injuries. As an efficient mechanical system, helical gearbox has been widely used in rotating machinery such as wind turbines, helicopters, compressors and internal combustion engines and hence its vibration condition monitoring is attracting substantial research attention worldwide. However, the vibration signals from a gearbox are usually cont

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12

Zolkiewski, G. M. "Leak detection and condition monitoring of process valves by vibration analysis as a basis for condition based maintenance." Thesis, University of Manchester, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314626.

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13

Kestel, Kayacan. "Development of signal processing techniques for vibration-based condition monitoring of industrial rotating machines." Electronic Thesis or Diss., Lyon, INSA, 2024. http://www.theses.fr/2024ISAL0135.

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Cette thèse présente des nouvelles techniques de traitement des signaux et améliore les techniques existantes pour la surveillance des machines tournantes industrielles complexes basée sur les vibrations. La littérature sur la maintenance conditionnelle basée sur les vibrations fournit des nombreuses solutions pour révéler les modèles défectueux à partir d'un signal vibratoire. Cependant, les tests de leur performance sur les signaux des machines complexes modernes est généralement limitée. En outre, il leur manque souvent une version robuste prête à être appliquée à des mesures réelles. Cette

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14

Gowid, Samer S. A. A. "Improving the profitability, availability and condition monitoring of FPSO terminals." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25464.

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The main focus of this study is to improve the profitability, availability and condition monitoring of Liquefied Natural Gas (LNG) Floating Production Storage and Offloading platforms (FPSOs). Propane pre-cooled, mixed refrigerant (C3MR) liquefaction is the key process in the production of LNG on FPSOs. LNG liquefaction system equipment has the highest failure rates among the other FPSO equipment, and thus the highest maintenance cost. Improvements in the profitability, availability and condition monitoring were made in two ways: firstly, by making recommendations for the use of redundancy in

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15

Rzeszucinski, Pawel. "Development of reliable vibration-based condition indicators and their data fusion for the robust health diagnosis of gearboxes." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/development-of-reliable-vibrationbased-condition-indicators-and-their-data-fusion-for-the-robust-health-diagnosis-of-gearboxes(fa25db2f-89a5-420f-ba56-68ef7da874f9).html.

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Performing condition monitoring related tasks on any machinery is an essential element of their rational maintenance. Endeavours to detect an incipient fault within a system serve multiple purposes from increasing the safety of people responsible for operating the machines through decreasing the running and operational costs, allowing time to plan for the inevitable repairs and making sure that the downtime of the machine is kept to an absolute minimum. All these tasks gain extra importance in a case when machines are operated in dangerous conditions putting people's lives in potential jeopard

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16

Hassin, Osama A. A. "Condition monitoring of journal bearings for predictive maintenance management based on high frequency vibration analysis." Thesis, University of Huddersfield, 2017. http://eprints.hud.ac.uk/id/eprint/34161/.

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Journal bearings are widely used as rotor supports in many machinery systems such as engines, motors, turbines and huge pumps. The journal bearing is simply designed, highly efficient, has a long life, low cost and doesn’t fail easily. Based on preventive maintenance strategies, many monitoring techniques are developed for monitoring journal bearings such as lubricant analysis, vibration analysis, noise and acoustic emission analysis. Vibration monitoring techniques have been developed and it can be implemented online or offline without interrupting the machine operations. The vibration phenom

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17

Tanzariello, Roberta. "Condition Monitoring of a Belt-Based Transmission System for Comau Racer3 Robots." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14354/.

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This project has been developed in collaboration with Comau Robotics S.p.a and the main goal is the development in China of an Health Monitoring Pro-cess using vibration analysis. This project is connected to the activity of Cost Reduction carried out by the PD Cost Engineering Department in China. The Project is divided in two part: 1. Data Acquisition 2. Data Analysis An Automatic Acquisition of the moni.log file is carried out and is discussed in Chapter 1. As for the Data Analysis is concerned a data driven approach is considered and developed in frequency domain through the FFT trans

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18

Gavrilovic, Nenad. "VIBRATION-BASED HEALTH MONITORING OF ROTATING SYSTEMS WITH GYROSCOPIC EFFECT." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1358.

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This thesis focuses on the simulation of the gyroscopic effect using the software MSC Adams. A simple shaft-disk system was created and parameter of the sys-tem were changed in order to study the influence of the gyroscopic effect. It was shown that an increasing bearing stiffness reduces the precession motion. Fur-thermore, it was shown that the gyroscopic effect vanishes if the disk of system is placed symmetrically on the shaft, which reduces the system to a Jeffcott-Ro-tor. The second objective of this study was to analyze different defects in a simple fixed axis gear set. In particular, a

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19

Svensson, Gustav, and Mischa Huisman. "Concepts for a suitable condition based monitoring system for a planetary gearbox." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74787.

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In the trends of technical improvements and automatization is it important for companies to keep up with the developments to be competitive on the market. SwePart Transmissions AB is a company that manufacture and develop gearboxes for the currently growing robot arms industry and the main task with this study is to investigate how to apply condition based monitoring on a new gearbox from the company. The work considers vibration analysis and testing new ideas in the oil analysis field. The tests that were performed are based on measuring the difference in impedance or magnetic field due to th

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20

Di, Francesco Gianluca. "Metodologie di Condition Based Maintenance applicata alle macchine idrauliche operatrici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18242/.

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In questo elaborato di tesi si affronta uno studio della manutenzione su condizione applicata alle macchine idrauliche operatrici, utilizzate per gli impianti di distribuzione idrica e di depurazione delle acque della regione Toscana, gestite dalla società Publiacqua S.p.A. Nel capitolo 2 viene presentata la tematica della gestione della manutenzione, descrivendo le varie tipologie di manutenzione e le strategie di scelta di queste ultime, per poi passare al concetto di Total Productive Maintenance, ovvero un sistema di gestione della manutenzione che ha come obiettivo l’integrazione tra la p

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21

Hou, Chuanchuan. "Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20434.

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Damage identification is an important topic in structural assessment and structural health monitoring (SHM). Vibration-based identification techniques use modal data to identify the existence, location and severity of possible damages in structures, often via a numerical model updating procedure. Among other factors influencing the practicality and reliability of a damage identification approach, two are of primary interest to this study. The first one concerns the amount and quality of modal data that can be used as ‘response’ data for the model updating. It is generally recognised that natur

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22

Ellis, Brian. "A real-time hybrid method based on blade tip timing for diagnostics and prognostics of cracks in turbomachine rotor blades." Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/73315.

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This dissertation proposes hybrid models for (i) diagnosis and (ii) remaining useful life estimation of a single fatigue crack in a low-pressure turbine blade. The proposed hybrid methods consist of physics-based methods and data-driven methods. In this dissertation, blade tip timing is used to measure the relative tip displacement of a rotor blade. The natural frequency of the blade is determined by detecting the critical speeds of the blade using a newly derived least squares spectral analysis method. The method shares its origin from the Lomb-Scargle periodogram and can detect resonance fr

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23

Marx, Douw. "Towards a hybrid approach for diagnostics and prognostics of planetary gearboxes." Diss., University of Pretoria, 2021. http://hdl.handle.net/2263/78157.

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The reliable operation of planetary gearboxes is critical for the sustained operation of many machines such as wind turbines and helicopter transmissions. Hybrid methods that make use of the respective advantages of physics-based and data-driven models can be valuable in addressing the unique challenges associated with the condition monitoring of planetary gearboxes. In this dissertation, a hybrid framework for diagnostics and prognostics of planetary gearboxes is proposed. The proposed framework aims to diagnose and predict the root crack length in a planet gear tooth from accelerometer meas

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24

Liu, Zongchang. "A Systematic Framework for Unsupervised Feature Mining and Fault Detection for Wind Turbine Drivetrain Systems." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1471348052.

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25

Milakovic, Stefan. "Utvärdering och användning av maskindata för tillståndsbaserat underhåll i en industriell kontext." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12829.

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Industriellt underhåll har upplevt en utveckling från det ursprungliga akuta avhjälpande underhållet till dagens möjligheter till underhåll baserat på data, så kallat tillståndsbaserat underhåll (CBM). För CBM genomförs endast underhåll vid behov och detta bestäms av aktuell data från den studerade utrustningen. Onödigt underhåll minimeras och antalet plötsliga haverier minskar. Utvecklingen mot Internet of Things (IoT) ger upphov till en stor mängd data som potentiellt kan användas vid CBM-underhåll. En utmaning uppstår dock i att identifiera sådan data och hur denna data kan användas. Denna

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26

Canal, Luiz Antonio. "Proposta de um método para priorização de investimento em monitoramento instrumentado contínuo de equipamentos dinâmicos aplicado em planta petroquímica." Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6770.

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27

Singh, Jaskaran. "Novel concepts in vibration based condition assessment and health monitoring of rolling element bearings." Thesis, 2018. http://eprint.iitd.ac.in:80//handle/2074/7945.

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28

Lo, Yung-Chieh, and 羅永傑. "Vibration Signal-Based Proactive Operation Condition Monitoring of Induction Motors Using Principal Component Analysis and K-means Clustering." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/t7g5tq.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>107<br>Inductive motors are inexpensive, rugged and have always played an important role in industrial development. They are indispensable power sources in the factory. In the past, factories often adopt O&M (Operation and maintenance) strategies based on “Time-Based Maintenance” or “Condition-Based Maintenance”. In recent years, benefiting from big data analysis, we can identify the potential faults and fix it early by machine learning. This is the so-called proactive maintenance. In this thesis, we first manufacture four customer-made experimental models and measur

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