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Dissertations / Theses on the topic 'Industrial machinery; Diagnostics; Vibration'

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1

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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2

McCarthy, Daniel Joseph. "Vibration-based diagnostics of reciprocating machinery." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/10823.

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3

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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4

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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5

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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6

Emmanouilidis, Christos. "Evolutionary multi-objective feature selection and its application to industrial machinery fault diagnosis." Thesis, University of Sunderland, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391024.

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7

Kar, Rahul. "Diagnostics of subsynchronous vibrations in rotating machinery - methodologies to identify potential instability." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/2596.

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Rotordynamic instability can be disastrous for the operation of high speed turbomachinery in the industry. Most ??instabilities?? are due to de-stabilizing cross coupled forces from variable fluid dynamic pressure around a rotor component, acting in the direction of the forward whirl and causing subsynchronous orbiting of the rotor. However, all subsynchronous whirling is not unstable and methods to diagnose the potentially unstable kind are critical to the health of the rotor-bearing system. The objective of this thesis is to explore means of diagnosing whether subsynchronous vibrations are b
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8

Aburass, Ali. "Diagnostics of fuel injection systems in a CI engine fuelled with biodiesel based on vibration responses." Thesis, University of Huddersfield, 2016. http://eprints.hud.ac.uk/id/eprint/31541/.

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In recent years, serious restrictions on diesel emission levels, combined with price instability and a significant increase in imports, has forced researchers to look for alternatives to this fossil fuel. Biodiesel is widely accepted as an alternative because it can be used in diesel engines without any substantial modifications and produced by sustainable resources. However, there are serious gaps in available knowledge regarding the effects of biodiesel blends on engine fuel injection systems and the engine combustion process. Therefore, this research focuses on the investigation into such e
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9

Diouf, Saliou Madani Kurosh. "Contribution au diagnostic industriel de défauts de roulement et de balourd par techniques neuronales application à la machine asynchrone à cage /." Créteil : Université de Paris-Val-de-Marne, 2007. http://doxa.scd.univ-paris12.fr:80/theses/th0254083.pdf.

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10

Diouf, Saliou. "Contribution au diagnostic industriel de défauts de roulement et de balourd par techniques neuronales : application à la machine asynchrone à cage." Paris 12, 2007. http://www.theses.fr/2007PA120024.

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Cette thèse se focalise sur la détection et l'aide au diagnostic vibratoire de dysfonctionnement de type balourd ou de type écaillage de la bague extérieure de roulement de machines tournantes. Elle concerne la mise en oeuvre de techniques neuronales pour la détection et l'aide au diagnostic de ces défauts. Dans ce cadre, deux approches sont développées, à partir des signatures vibratoires issues pour l'une d'un capteur de courant, et pour l'autre d'un capteur accéléromètre. Ces signatures sont d'abord prétraitées par ACP puis classifiées par un réseau de neurones artificiel. Deux type de rése
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11

Ulmer, Bernard C. Jr. "Fabrication and calibration of an open architecture diamond turning machine." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/17120.

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12

Kass, Souhayb. "Diagnostic vibratoire autonome des roulements." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI103.

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Le monde de l’industrie et des transports dispose de machines et d’installations de plus en plus performantes et complexes. Ils ne peuvent être exempts de perturbations et de défaillances, influant sur la qualité du produit, pouvant provoquer l’arrêt immédiat d’une machine et porter atteinte au bon fonctionnement d’un système de production entier. Le diagnostic de ces machines, s’appuie essentiellement sur la surveillance de symptômes liés à différentes conditions de dégradation. Ces symptômes peuvent être tirés de diverses sources d’information, parmi lesquelles l’analyse vibratoire et acoust
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13

Stamm, James A. "Machinery diagnostics via mechanical vibration analysis using spectral analysis techniques." Thesis, 1988. http://hdl.handle.net/10945/23067.

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14

Sawalhi, Nader Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Diagnostics, prognostics and fault simulation for rolling element bearings." 2007. http://handle.unsw.edu.au/1959.4/40544.

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Vibration signals generated from spalled elements in rolling element bearings (REBs) are investigated in this thesis. A novel signal-processing algorithm to diagnose localized faults in rolling element bearings has been developed and tested on a variety of signals. The algorithm is based on Spectral Kurtosis (SK), which has special qualities for detecting REBs faults. The algorithm includes three steps. It starts by pre-whitening the signal's power spectral density using an autoregressive (AR) model. The impulses, which are contained in the residual of the AR model, are then enhanced using th
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15

Wang, KeSheng. "Approaches to the improvement of order tracking techniques for vibration based diagnostics in rotating machines." Thesis, 2011. http://hdl.handle.net/2263/28747.

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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 variations of the rotational speed, the measured signal may be non-stationary and difficult to interpret. For this reason, the order tracking technique is introduced. One of main advantages of order tracking over traditional vibration monitoring lies in its ability to clearly identify non-stationary vibration data and to a large extent exclude the influences of varying rot
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