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Relevant bibliographies by topics / Gear condition monitoring / Dissertations / Theses

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Dissertations / Theses on the topic 'Gear condition monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Al-Arbi, Salem. "Condition monitoring of gear systems using vibration analysis." Thesis, University of Huddersfield, 2012. http://eprints.hud.ac.uk/id/eprint/17821/.

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It is often impractical to measure vibrations directly at /or close to their sources when condition monitoring gearbox systems. It is common to measure the vibration distant from the source due to limited access to the component which is to be monitored. In addition, operating the gearbox under different loads and speeds also produces vibration signals within different components. Vibration measured in this way may be significantly distorted by the effect of signal transmission paths and interference from other sources. Therefore, suppression of distortions is a key issue for remote measuremen

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2

Lin, Shui-Town. "Gear condition monitoring by wavelet transform of vibration signals." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318680.

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3

Chen, Mingxian. "Combining the active control of gear vibration with condition monitoring." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286755.

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4

Al-Balushi, Khamis Rajab Nasser. "The use of high frequency stress waves for monitoring gears." Thesis, Cranfield University, 1995. http://dspace.lib.cranfield.ac.uk/handle/1826/10575.

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The aim of this research is to investigate the feasibility of using stress waves for condition monitoring of gears. The project involved setting up an experimental rig, carrying out experimental work, acquiring stress waves signatures, and processing the signals. It has been shown that stress waves can successfully be employed for early detection of incipient gear failure. A experimental gearbox was employed during the experiments. Miniature ultrasound transducers, both sensitive and sufficiently small, were manufactured and installed on the stationary outer race of the rolling element bearing

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5

Chen, Dajun. "Applications of time-scale representations and artificial neural networks in gear condition monitoring." Thesis, De Montfort University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391569.

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6

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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7

Ahmaida, Anwar M. "Condition monitoring and fault diagnosis of a multi-stage gear transmission using vibro-acoustic signals." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34755/.

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Gearbox condition monitoring(CM) plays a vital role in ensuring the reliability and operational efficiency of a wide range of industrial facilities such as wind turbines and helicopters. Many technologies have been investigated intensively for more accurate CM of rotating machines with using vibro-acoustic signature analysis. However, a comparison of CM performances between surface vibrations and airborne acoustics has not been carried out with the use of emerging signal processing techniques. This research has focused on a symmetric evaluation of CM performances using vibrations obtained from

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8

Sannellappanavar, Govindraj. "Early Gear Failure Detection in Fatigue Testing of Driveline Components." Thesis, KTH, Maskinkonstruktion (Inst.), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276672.

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Early failure detection has been an integral part of condition monitoring of critical systems, such as wind turbines and helicopter rotor drivetrains. An unexplored application of early failure detection is fatigue testing of driveline components. On many occasions, driveline components fail catastrophically, leaving no evidence of the root cause of failure and causing extensive damage to test equipment. This can be prevented by detecting failure in its early stages. Test specimen would be preserved, enabling correlation of test results with design predictions. In this thesis, a method for ear

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9

Ali, Emad, Jürgen Weber, and Matthias Wahler. "A Machine Learning Approach for Tracking the Torque Losses in Internal Gear Pump - AC Motor Units." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-199438.

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This paper deals with the application of speed variable pumps in industrial hydraulic systems. The benefit of the natural feedback of the load torque is investigated for the issue of condition monitoring as the development of losses can be taken as evidence of faults. A new approach is proposed to improve the fault detection capabilities by tracking the changes via machine learning techniques. The presented algorithm is an art of adaptive modeling of the torque balance over a range of steady operation in fault free behavior. The aim thereby is to form a numeric reference with acceptable accura

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10

Krumins, Armands. "Gearbox fault detection, based on Machine Learning of multiple sensors." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301603.

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The increasing demand for higher efficiency and lower environmental impact of transmissions, used in automotive and wind energy industries has created a need for more advanced technical solutions to fulfil those requirements. Condition monitoring plays an important role in the transmission life cycle, saving resources and time. Recently condition monitoring, using machine learning has shifted from reactive to proactive action, predicting minor faults before they become significant. This thesis intends to develop a methodology that can be used to predict faults like pitting initiation, before p

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11

Stenudd, Joakim. "Development of method for early fault detection in small planetary gear sets in nutrunners." Thesis, Luleå tekniska universitet, Maskinelement, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-83227.

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The objective of this thesis work was to develop a method to detect early damage on small planetary gear sets that are installed in Atlas Copco nutrunners. The project has gone through several stages of product development, from idea to working product and signal analysis. Currently, Atlas Copco have a test rig for testing these planetary gears, this rig has been proven to be insufficient at detecting faults during an ongoing test. A new tailored test rig was therefore designed and manufactured. Low noise and low amount of vibration was of interest when designing the rig. Four concepts was tho

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12

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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13

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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14

Hamel, Mhmod A. A. "Condition Monitoring of Helical Gears Using Acoustic Emission (AE) Technology." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8561.

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Techniques such as vibration monitoring, thermal analysis and oil analysis are well established as means to have been used to improve reliability of gearboxes and extend time-to-failure. In this area Acoustic Emission (AE) technology is still in its infancy but the attention shown by researchers towards this method has increased dramatically because several studies have shown the AE offers the important advantage of improved sensitivity over more conventional monitoring tools for the early detection and prediction of gear failure. Helical gear lubrication is critically important for maintainin

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15

Raja, Hamzah R. I. "Condition monitoring of spur and helical gears using acoustic emission (AE) technology." Thesis, Cranfield University, 2008. http://dspace.lib.cranfield.ac.uk/handle/1826/11033.

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Condition Based Maintenance (CBM) philosophy has become widely accepted by most industries today as a key element in reducing operating cost, and increasing safety and life cycle costs within a environmentally friendly umbrella. One of the important keys to successful CBM is condition monitoring. The investigation reported in this thesis is centred on the application of Acoustic Emissions (AE) technology for condition monitoring of the operational spur and helical gears. Since the application of AE in gear condition monitoring is still under development, understanding the main source of AE dur

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16

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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17

Rezaei, AIDA. "Multi-sensor besed framework for gear condition monitoring." Thesis, 2013. http://hdl.handle.net/1974/7988.

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In recent years, there has been considerable interest in developing efficient machine diagnostics and prognostics tools for quantitative estimation of systems condition and remaining useful life. Often, it is beneficial to combine several measures into a single feature for machine condition monitoring purposes. Selection of appropriate features represents a key step to satisfy machine condition monitoring requirements. Gearboxes represent one of those complex systems where classification of fault stages and types (diagnostics) and remaining useful life prediction (prognostics) remain a challen

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18

Eggers, Berndt Leonard. "Dragline gear monitoring under fluctuating conditions." Diss., 2008. http://hdl.handle.net/2263/27587.

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The aim of this study is to apply computed order tracking with subsequent rotation domain averaging and statistical analysis to typical mining environments. Computed order tracking is a fault detection method that is unaffected by varying speed conditions often found in industry and has been proven effective in laboratory conditions. However in the controlled environment of a laboratory it is difficult to test the robustness of the order-tracking procedure. The need thus exists to adjust the order tracking procedure so that it will be effective in the mining environment. The procedure needs to

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19

Wu, Xin-rong, and 吳信融. "Gears Condition Monitoring and Analysis." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/4p77a6.

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碩士<br>國立虎尾科技大學<br>機械與機電工程研究所<br>98<br>Due to the complexity of gear manufacturing process, the machining and assembly errors are two main factors in gear vibration and the associated noise. This thesis focuses on the investigation of gears vibration applying signal processing techniques. The signals play an important role in detecting the gears faults. Owing to the relations among spectral characteristics of the gears, rotational harmonics, the Gear Mesh Frequency(GMF), and the GMF harmonics and their sidebands, spectrum analysis can be applied in the gear vibration detection technologies. Dif

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