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Relevant bibliographies by topics / Industrial machinery; Diagnostics; Vibration

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Academic literature on the topic 'Industrial machinery; Diagnostics; Vibration'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Industrial machinery; Diagnostics; Vibration"

1

Muszynska, Agnes. "Vibrational Diagnostics of Rotating Machinery Malfunctions." International Journal of Rotating Machinery 1, no. 3-4 (1995): 237–66. http://dx.doi.org/10.1155/s1023621x95000108.

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This paper outlines rotating machinery malfunction diagnostics using vibration data in correlation with operational process data. The advantages of vibration monitoring systems as a part of preventive/predictive maintenance programs are emphasized. After presenting basic principles of machinery diagnostics, several specific malfunction symptoms supported by simple mathematical models are given. These malfunctions include unbalance, excessive radial load, rotor-to-stator rubbing, fluid-induced vibrations, loose stationary and rotating parts, coupled torsional/lateral vibration excitation, and r

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Michalak, Anna, Jacek Wodecki, Michał Drozda, Agnieszka Wyłomańska, and Radosław Zimroz. "Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes." Sensors 21, no. 1 (2020): 213. http://dx.doi.org/10.3390/s21010213.

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Diagnostics of industrial machinery is a topic related to the need for damage detection, but it also allows to understand the process itself. Proper knowledge about the operational process of the machine, as well as identification of the underlying components, is critical for its diagnostics. In this paper, we present a model of the signal, which describes vibrations of the sieving screen. This particular type is used in the mining industry for the classification of ore pieces in the material stream by size. The model describes the real vibration signal measured on the spring set being the sus

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Abouhnik, A., Ghalib R. Ibrahim, R. Shnibha, and A. Albarbar. "Novel Approach to Rotating Machinery Diagnostics Based on Principal Component and Residual Matrix Analysis." ISRN Mechanical Engineering 2012 (March 5, 2012): 1–7. http://dx.doi.org/10.5402/2012/715893.

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Rotating machinery such as induction motors and gears driven by shafts are widely used in industry. A variety of techniques have been employed over the past several decades for fault detection and identification in such machinery. However, there is no universally accepted set of practices with comprehensive diagnostic capabilities. This paper presents a new and sensitive approach, to detect faults in rotating machines; based on principal component techniques and residual matrix analysis (PCRMA) of the vibration measured signals. The residual matrix for machinery vibration is extracted using th

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Widodo, Achmad, Djoeli Satrijo, Toni Prahasto, Gang-Min Lim, and Byeong-Keun Choi. "Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics." International Journal of Rotating Machinery 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/847203.

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This paper deals with the maintenance technique for industrial machinery using the artificial neural network so-called self-organizing map (SOM). The aim of this work is to develop intelligent maintenance system for machinery based on an alternative way, namely, thermal images instead of vibration signals. SOM is selected due to its simplicity and is categorized as an unsupervised algorithm. Following the SOM training, machine fault diagnostics is performed by using the pattern recognition technique of machine conditions. The data used in this work are thermal images and vibration signals, whi

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LIU, QING (CHARLIE), and HSU-PIN (BEN) WANG. "A case study on multisensor data fusion for imbalance diagnosis of rotating machinery." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 15, no. 3 (2001): 203–10. http://dx.doi.org/10.1017/s0890060401153011.

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Techniques for machine condition monitoring and diagnostics are gaining acceptance in various industrial sectors. They have proved to be effective in predictive or proactive maintenance and quality control. Along with the fast development of computer and sensing technologies, sensors are being increasingly used to monitor machine status. In recent years, the fusion of multisensor data has been applied to diagnose machine faults. In this study, multisensors are used to collect signals of rotating imbalance vibration of a test rig. The characteristic features of each vibration signal are extract

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Yang, Bo Suk, Chul Hyun Park, and Ho Jong Kim. "An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree." International Journal of Rotating Machinery 6, no. 1 (2000): 19–27. http://dx.doi.org/10.1155/s1023621x00000038.

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This paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many diverse areas such as character recognition, medical diagnosis, and expert systems, etc. In order to build a decision tree for vibration diagnosis, we have to define classes and attributes. A set of cases based on past experiences is also needed. This training set is inducted using a result-cause ma

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Muszynska, Agnes, Charles T. Hatch, and Donald E. Bently. "Dynamics of Anisotropically Supported Rotors." International Journal of Rotating Machinery 3, no. 2 (1997): 133–42. http://dx.doi.org/10.1155/s1023621x97000134.

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The paper discusses dynamic effects occurring in machinery rotors supported in bearings and pedestals with laterally different characteristics. In the considered rotor model the anisotropy of radial stiffness and tangential (“cross”) stiffness components are included. Within certain ranges of the rotative speed the support anisotropy leads to the specific, excited-by-unbalance rotor lateral synchronous vibrations in a form of backward (reverse) precession. In addition, one section of the rotor may precess backward, while the other section simultaneously precesses forward. Experimental results

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Al-Khazali, Hisham A. H., and Mohamad R. Askari. "The Experimental Analysis of Vibration Monitoring in System Rotor Dynamic with Validate Results Using Simulation Data." ISRN Mechanical Engineering 2012 (June 7, 2012): 1–17. http://dx.doi.org/10.5402/2012/981010.

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There is a growing tendency today to extract information about the prognostic parameters based on system analysis through various diagnostic techniques to assess the health of the plant or equipment. Vibration monitoring helps in reducing the machine down time. A vibration signature measured at the external surface of machine or at any other suitable place contains a good amount of information to reveal the running condition of the machine. Considering the importance of vibration monitoring in the rotating machinery fault diagnostics, it has been applied in this paper. Effects of modal paramet

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9

Malcoci, Iulian, and Ion Bodnariuc. "Vibroacoustical Diagnosis of Planetary Precessional Kinematical Transmission (Part 1)." Applied Mechanics and Materials 809-810 (November 2015): 593–97. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.593.

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An ideal dynamical system should not generate any vibrations, because vibrations mean a loss of energy. Vibration in planetary precessional gear box occurs at bearings, gear wheels, misaligned shafts, imbalance rotating parts, couplings. If damage occurs, not only the dynamic processes change, but also the forces that act on system components. Regarding this aspects, regular vibration measurements on machines provide information about any necessary maintenance. Vibration research was made by using GUNT PT500 Machinery Diagnostic System and vibration signals was evaluated by using GUNT PT500.04

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Gosiewski, Zdzislaw, and Andrzej Romaniuk. "Synchronous Analysis for Diagnostics of Rolling Bearings in the Turbojet Engine." International Journal of Rotating Machinery 2005, no. 2 (2005): 128–34. http://dx.doi.org/10.1155/ijrm.2005.128.

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Designed in the Aviation Institute, the K-15 turbojet engine has got rolling bearings, which answers with frequency5.87×ωrthe unbalance excitation. The signal with such frequency indicates a fault of the outer race of the rolling bearing. A set of the digital synchronous filters was used for the K-15 vibration spectrum analysis. A procedure of filtration was performed by the computer software. The sychronous summation of the measured signals was carried out before the spectrum analysis. Two cases were considered: the engine with a small force due to unbalance (a small angular velocity of the r

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

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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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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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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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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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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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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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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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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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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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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Books on the topic "Industrial machinery; Diagnostics; Vibration"

1

I, Shapin V., Filatov I͡U︡ E, and Rivin Eugene I, eds. Vibration diagnostics in precision instruments. Hemisphere Pub. Corp., 1989.

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2

T, Hatch Charles, and Grissom Bob, eds. Fundamentals of rotating machinery diagnostics. Bently Pressurized Bearing Press, 2002.

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3

V, Frolov K., and Menyailov A. I, eds. Vibroacoustical diagnostics for machines and structures. Research Studies Press, 1991.

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4

Liu, Chao-Shih. Analysis, approach and assessment of vibration criteria in shipboard machinery condition monitoring and diagnostics. Naval Postgraduate School, 1993.

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Liu, Chao-Shih. Analysis, approach and assessment of vibration criteria in shipboard machinery condition monitoring and diagnostics. Naval Postgraduate School, 1993.

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6

S, Sankar T., and American Society of Mechanical Engineers. Vibrations and Sound Committee., eds. Diagnostics, vehicle dynamics and special topics: Presented at the 1989 ASME design technology conferences--12th Biennial Conference on Mechanical Vibration and Noise, Montreal, Quebec, Canada, September 17-21, 1989. American Society of Mechanical Engineers, 1989.

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7

Poland) International Techno-Scientific Conference Hydraulic Turbomachines in Hydropower and Other Industrial Applications (2000 Czorsztyn. Hydroforum 2000: Hydrauliczne maszyny wirnikowe w energetyce wodnej i innych działach gospodarki : zagadnienia projektowania, diagnostyki i eksploatacji : materiały konferencyjne = Hydraulic turbomachines in hydro power and other industrial applications : problems of design, operation and diagnostics : proceedings. Instytu Maszyn Przepływowych, 2000.

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8

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai da xue chu ban she, 2010.

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9

Stamm, James A. Machinery diagnostics via mechanical vibration analysis using spectral analysis techniques. 1988.

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Braun, S., S. Rakheja, Y. Stepanenko, and Quebec) Conference on Mechanical Vibration and Noise (12th : 1989 : Montre´al. Diagnostics Vehicle Dynamics and Special Topics: Presented at the 1989 Asme Design Technical Conferences 12th Biennial Conference on Mechanical Vibr (De ... Design Engineering Division), V. 18-5.). Amer Society of Mechanical, 1989.

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Book chapters on the topic "Industrial machinery; Diagnostics; Vibration"

1

Morrow, R. T., and A. J. Fraser. "Radiation of Waterborne Noise Due to Ships Machinery Part I: Airborne Transmission." In Industrial Vibration Modelling. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4480-0_6.

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Gilstrap, J. M. "Parameters for Vibration Analysis on Rotating Machinery." In Diagnostics of Rotating Machines in Power Plants. Springer Vienna, 1994. http://dx.doi.org/10.1007/978-3-7091-2706-3_3.

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Morrow, R. T., and A. J. Fraser. "Radiation of Waterborne Noise Due to Machinery Generated Sound Part II: The Structure-Borne Problem." In Industrial Vibration Modelling. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4480-0_7.

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Diana, G., M. Gasparetto, and A. Vania. "Machinery Diagnostics: Examples of Application to Thermoelectric Plants." In Vibration and Wear in High Speed Rotating Machinery. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1914-3_47.

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Budzan, Sebastian, Dariusz Buchczik, Marek Pawełczyk, and Roman Wyżgolik. "Rotating Machinery Diagnostics Based on Fusion of Infrared and Vibration Measurements." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61927-9_19.

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Suri, Ganeriwala. "Loading Effect on Induction Motor Eccentricity Diagnostics Using Vibration and Motor Current." In Experimental Techniques, Rotating Machinery, and Acoustics, Volume 8. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15236-3_25.

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Benati, A., C. Frigeri, and G. C. Silvestri. "Vibration Monitoring and Mechanical Fault Diagnostics on Large Rotating Machinery in ENEL Power Plants." In Diagnostics of Rotating Machines in Power Plants. Springer Vienna, 1994. http://dx.doi.org/10.1007/978-3-7091-2706-3_18.

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Nakhaeinejad, Mohsen, Jaewon Choi, and Michael D. Bryant. "Model-Based Diagnostics and Fault Assessment of Induction Motors with Incipient Faults." In Rotating Machinery, Structural Health Monitoring, Shock and Vibration, Volume 5. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9428-8_37.

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Reilly, Thomas. "A Review of Signal Processing and Analysis Tools for Comprehensive Rotating Machinery Diagnostics." In Rotating Machinery, Structural Health Monitoring, Shock and Vibration, Volume 5. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9428-8_39.

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Sait, Abdulrahman S., and Yahya I. Sharaf-Eldeen. "A Review of Gearbox Condition Monitoring Based on vibration Analysis Techniques Diagnostics and Prognostics." In Rotating Machinery, Structural Health Monitoring, Shock and Vibration, Volume 5. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9428-8_25.

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Conference papers on the topic "Industrial machinery; Diagnostics; Vibration"

1

Morita, Masao. "Vibration Analysis on the Rotating Machinery." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50361.

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The paper presents vibration analysis on the boiler feed water pump in thermal power plants. In the Tokyo Electric Power Company (TEPCO), mechanical vibration diagnosis of rotating machinery has been carried out, and got good results. However, in some cases, abnormal condition of machine at an initial stage couldn’t specify, or a machine’s life didn’t predict, because of diagnosing only by tendency of vibration severity. Mechanical vibration diagnoses are typical diagnosing method on the operating condition of the rotating machines, which are well known as one of the Condition Based Maintenanc

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Hong, Young-Sun, Gil-Yong Lee, Young-Man Cho, Sung-Hoon Ahn, and Chul-Ki Song. "Evaluation of Diagnostic Performance for the Gear Box Considering the Measurement Position Effect With Wavelet Packet Transform." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84343.

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There has been much research into monitoring techniques for mechanical systems to ensure stable production levels in modern industries. This is particularly true for the diagnostic monitoring of rotary machinery, because faults in this type of equipment appear frequently and quickly cause severe problems. Such diagnostic methods are often based on the analysis of vibration signals because they are directly related to physical faults. Even though the magnitude of vibration signals depends on the measurement position, the effect of measurement position is generally not considered. This paper des

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Wen, Xin, Guoliang Lu, and Peng Yan. "Vibration feature extraction via graph-modeled SVD for running stability assessment of industrial machine." In 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC). IEEE, 2019. http://dx.doi.org/10.1109/sdpc.2019.00015.

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Adams, James C. "Recent Developments in Vibration Monitoring and Diagnostics for Aeroderivative Gas Turbines." In ASME 1985 Beijing International Gas Turbine Symposium and Exposition. American Society of Mechanical Engineers, 1985. http://dx.doi.org/10.1115/85-igt-31.

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Industrial aeroderivative gas turbines are becoming increasingly popular for use in both on-shore and off-shore installations. The characteristics of these machines — high efficiency in simple cycle operation, small size, and light weight — make them ideal for industrial applications. As the aeroderivative gas turbine has become more widely used, the need for more reliable monitoring methods has become increasingly apparent. Traditional velocity transducer based seismic monitoring systems have had several shortcomings when applied to aeroderivative gas turbines. One of these problems was nuisa

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Aydemir, Gürkan. "Deep Learning Based Spectrum Compression Algorithm for Rotating Machinery Condition Monitoring." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8137.

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In the new data intensive world, predictive maintenance has become a central issue for the modern industrial plants. Monitoring of electric machinery is one of the most important challenges in predictive maintenance. Adaptive manufacturing processes/plants may be possible through the monitored conditions. In this respect, several attempts have been made to utilize deep learning algorithms for rotating machinery fault detection and diagnosis. Among them, deep autoencoders are very popular, because of their denoising effect. They are also implemented in electric machinery fault diagnostics in or

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Shirkhodaie, Amir, Julian Blair, and Kemba Heard. "Failure Diagnosis in Rotory Dynamic Systems Based on Finite Element Prediction Model." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42501.

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Machinery such as steam turbines, compressors, and generators are rotating machines. Over the years these machines have become very complex, due to the increased need for higher speed rotating machinery. Overtime these machines develop excessive dynamic stresses if they are ran at speeds near to their natural frequencies or under abnormal operating conditions. Many technological advances in the aerospace and automotive industries can be held accountable for these faster speeds. Currently, machinery diagnostics is being used to monitor rotating machinery and determine their condition while in o

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Hall, David L., Robert J. Hansen, and Derek C. Lang. "The Negative Information Problem in Mechanical Diagnostics." In ASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-gt-035.

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Condition-based maintenance (CBM) is an emerging technology which seeks to develop sensors and processing systems aimed at monitoring the operation of complex machinery such as turbine engines, rotor craft drive trains, or industrial equipment. The goal of CBM systems is to determine the state of the equipment (i.e., the mechanical health and status), and to predict the remaining useful life for the system being monitored. The success of such systems depends upon a number of factors including: (1) the ability to design or use robust sensors for measuring relevant phenomena such as vibration, a

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Mauricio, Alexandre, Dustin Helm, Markus Timusk, Jerome Antoni, and Konstantinos Gryllias. "Novel Cyclo-Non-Stationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15245.

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Abstract Condition monitoring arises as a valuable industrial process in order to assess the health of rotating machinery, providing early and accurate warning of potential failures and allowing for the planning and effective realization of preventative maintenance actions. Nowadays machinery (gas turbines, wind turbines etc.) manufacturers adopt new business models, providing not only the equipment itself but additionally taking on responsibilities of condition monitoring, by embedding sensors and health monitoring systems within each unit and prompting maintenance actions when necessary. Amo

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Procházka, Pavel. "Sensors for noncontact vibration diagnostics in rotating machinery." In PROCEEDINGS OF THE 12TH INTERNATIONAL A.I.VE.LA. CONFERENCE ON VIBRATION MEASUREMENTS BY LASER AND NONCONTACT TECHNIQUES: Advances and Applications. Author(s), 2016. http://dx.doi.org/10.1063/1.4952656.

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Lim, W. Q., D. H. Zhang, J. H. Zhou, P. H. Belgi, and H. L. Chan. "Vibration-based fault diagnostic platform for rotary machines." In IECON 2010 - 36th Annual Conference of IEEE Industrial Electronics. IEEE, 2010. http://dx.doi.org/10.1109/iecon.2010.5675477.

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