Relevant bibliographies by topics / Machinery vibration monitoring

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Machinery vibration monitoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Machinery vibration monitoring"

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Mohd Ghazali, Mohamad Hazwan, and Wan Rahiman. "Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review." Shock and Vibration 2021 (September 10, 2021): 1–25. http://dx.doi.org/10.1155/2021/9469318.

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Untimely machinery breakdown will incur significant losses, especially to the manufacturing company as it affects the production rates. During operation, machines generate vibrations and there are unwanted vibrations that will disrupt the machine system, which results in faults such as imbalance, wear, and misalignment. Thus, vibration analysis has become an effective method to monitor the health and performance of the machine. The vibration signatures of the machines contain important information regarding the machine condition such as the source of failure and its severity. Operators are als
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Grega, Robert, Jaroslav Homišin, Silvia Medvecká-Beňová, and Jozef Krajňák. "Experimental Identification of Failures of High-Pressure Pump Drive." Applied Mechanics and Materials 816 (November 2015): 421–25. http://dx.doi.org/10.4028/www.scientific.net/amm.816.421.

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In practice, the mobile machines, machinery and their parts are sources of vibrations which could shorten their technical working life. In every machine, a specific energy is converted into vibrations of the machinery or their individual components. The information about machinery is fundamental condition of its future running. The methods of vibration diagnostic could be useful for monitoring of device wear and determining of real state of machines.
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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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Mohanty, Lipi, Yaowen Yang, and Swee Tjin. "Passively Conducted Vibration Sensing with Fiber Bragg Gratings." Applied Sciences 8, no. 9 (2018): 1599. http://dx.doi.org/10.3390/app8091599.

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Measuring vibrations is a common method of monitoring the integrity of structures and heavy machinery, that are subject to dynamic loads. Strong vibrations for prolonged periods of time can be caused by various sources, such as trains, motors and heavy machinery. These strong vibrations should be identified and managed to ensure operational safety. This study proposes a flexible metal beam sensor with a fiber Bragg grating (FBG) mounted on the surface to measure the vibrational frequency. We present a sensor for measuring the vibrational frequencies on-site by placing the beam so that it makes
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Xu, Shaoyi, Fangfang Xing, Ruilin Wang, Wei Li, Yuqiao Wang, and Xianghui Wang. "Vibration sensor for the health monitoring of the large rotating machinery: review and outlook." Sensor Review 38, no. 1 (2018): 44–64. http://dx.doi.org/10.1108/sr-03-2017-0049.

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Purpose At present, one of the key equipment in pillar industries is a large rotating machinery. Conducting regular health monitoring is important for ensuring safe operation of the large rotating machinery. Because vibrations sensors play an important role in the workings of the rotating machinery, measuring its vibration signal is an important task in health monitoring. This paper aims to present these. Design/methodology/approach In this work, the contact vibration sensor and the non-contact vibration sensor have been discussed. These sensors consist of two types: the electric vibration sen
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Senapaty, Goutam, and U. Sathish Rao. "Vibration based condition monitoring of rotating machinery." MATEC Web of Conferences 144 (2018): 01021. http://dx.doi.org/10.1051/matecconf/201814401021.

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This project looks at the different maintenance philosophies and the importance of vibration analysis in predictive maintenance. Since most industries and plants make use of rotational equipment, vibration analysis plays a major role in detecting machine defects and developing flaws before the equipment fails and potentially damages other related equipment and to avoid unwanted breakdowns and downtime. Vibration analysis can help increase the lifetime of equipment when the faults are diagnosed at the right time. Vibration analysis of a rotating table top model is also done to show that some fa
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Senapaty, Goutam, and U. Sathish Rao. "Vibration based condition monitoring of rotating machinery." MATEC Web of Conferences 144 (2018): 01021. http://dx.doi.org/10.1051/matecconf/201714401021.

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EI-Shafel, A. "Measuring Vibration for Machinery Monitoring and Diagnostics." Shock and Vibration Digest 25, no. 1 (1993): 3–14. http://dx.doi.org/10.1177/058310249302500103.

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Hu, Lei, Niao-qing Hu, Bin Fan, Feng-shou Gu, and Xiang-yi Zhang. "Modeling the Relationship between Vibration Features and Condition Parameters Using Relevance Vector Machines for Health Monitoring of Rolling Element Bearings under Varying Operation Conditions." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/123730.

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Rotational speed and load usually change when rotating machinery works. Both this kind of changing operational conditions and machine fault could make the mechanical vibration characteristics change. Therefore, effective health monitoring method for rotating machinery must be able to adjust during the change of operational conditions. This paper presents an adaptive threshold model for the health monitoring of bearings under changing operational conditions. Relevance vector machines (RVMs) are used for regression of the relationships between the adaptive parameters of the threshold model and t
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Ciupitu, Liviu, Andrei Tudor, Doru Turcan, and Daniel Sandor. "Vibration Diagnosis of Electric Motor’s Bearings." Advanced Materials Research 463-464 (February 2012): 1725–28. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1725.

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Recently technologies like vibration monitoring or acoustic measurement help the maintenance to improve the OEE (overall equipment effectiveness) factor. For example SKF company uses for fault detection vibration and temperature sensors and vibration signal processing techniques that differentiate between normal machinery process vibrations and abnormal vibrations caused by machinery faults. The fault can be eliminated or monitored until maintenance and repairs can be organized in a cost-effective way. The type of pattern with frosted or fluted features on the bearing inner or outer race it's
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Dissertations / Theses on the topic "Machinery vibration monitoring"

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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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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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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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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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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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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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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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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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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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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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Books on the topic "Machinery vibration monitoring"

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Vibratory condition monitoring of machines. CRC Press, 2000.

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Eisenmann, Robert C. Machinery malfunction diagnosis and correction: Vibration analysis and troubleshooting for the process industries. Prentice Hall PTR, 1998.

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1970-, Eisenmann Robert C., ed. Machinery malfunction diagnosis and correction: Vibration analysis and troubleshooting for the process industries. PTR Prentice Hall, 1998.

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Tomaszewski, Franciszek. Zagadnienia wyznaczania stanu technicznego złożonego obietktu mechanicznego za pomocą sygnału wibroakustycznego: Na przykładzie silnika spalinowego pojazdu szynowego. Politechnika Poznańska, 1998.

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Proulx, Tom, ed. 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.

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

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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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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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service), SpringerLink (Online, ed. Rotating Machinery, Structural Health Monitoring, Shock and Vibration, Volume 5: Proceedings of the 29th IMAC, A Conference on Structural Dynamics, 2011. The Society for Experimental Mechanics, Inc., 2011.

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Machinery Condition Monitoring: Principles and Practices. Taylor & Francis Group, 2014.

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Book chapters on the topic "Machinery vibration monitoring"

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Wu, Yulin, Shengcai Li, Shuhong Liu, Hua-Shu Dou, and Zhongdong Qian. "Vibration-Based Condition Monitoring." In Vibration of Hydraulic Machinery. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6422-4_11.

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Lim, G. H. "Rotating machinery noise and vibration study." In Condition Monitoring and Diagnostic Engineering Management. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0431-6_20.

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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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Maier, Knut. "Magnetic Methods of Condition Monitoring." In Vibration and Wear in High Speed Rotating Machinery. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1914-3_6.

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Roussel, J., A. Assoumane, C. Capdessus, and E. Sekko. "Estimation of Cyclic Cumulants of Machinery Vibration Signals in Non-stationary Operation." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61927-9_3.

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Paez, Thomas L. "Random Vibration – History and Overview." 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_9.

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Duron, Ziyad H. "Stability Monitoring of Burning Structures Based on Fire-induced Vibration Monitoring." 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_12.

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Romdhane, Manel Ben, Moez Trigui, Emmanuel Foltête, Mohamed Haddar, and Noureddine Bouhaddi. "Experimental Non-obstructive Particles Damping Approach for Passive Vibration." In Condition Monitoring of Machinery in Non-Stationary Operations. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28768-8_57.

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Jantzen, Eilhard. "Condition Monitoring of Machine Elements: Particle Separation and Investigation." In Vibration and Wear in High Speed Rotating Machinery. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1914-3_2.

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Karagülle, H., and H. F. Öktem. "A Measurement System for Computer Aided Monitoring of Bearings." In Vibration and Wear in High Speed Rotating Machinery. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1914-3_41.

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Conference papers on the topic "Machinery vibration monitoring"

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Endres, Ned M. "Vibration Monitoring System Integrity Subtly Affects Vibration Symptoms and Impacts Machinery Malfunction Diagnosis." In ASME 2008 Power Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/power2008-60116.

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Proper installation and functionality of a rotating machinery protection and monitoring system is essential for accurate diagnosis of machinery related malfunctions. For some gas turbine driven generator units, some monitoring system components can be internal to the machine and somewhat inaccessible. Monitoring system component problems and failures can result in obvious symptoms; however in a few instances these symptoms can be subtle and lead to a false or inappropriate malfunction diagnosis. These false diagnoses can result in unnecessary corrective actions in instances that required only
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Guanglin, Zhang, Qi Qian, and Yu Zhihao. "Shaft Vibration Monitoring System for Rotating Machinery." In 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). IEEE, 2016. http://dx.doi.org/10.1109/imccc.2016.17.

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Deng, Zhangxian, Vivake M. Asnani, and Marcelo J. Dapino. "Magnetostrictive vibration damper and energy harvester for rotating machinery." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Kevin M. Farinholt and Steven F. Griffin. SPIE, 2015. http://dx.doi.org/10.1117/12.2085566.

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Adachi, Kazuhiko, and Tohru Tanaka. "A Preliminary Study of Piezoelectric Vibration Energy Harvester for Vibration Condition Monitoring Applications of Rotating Machinery." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-483.

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Rotating machinery is widely used in the industrial plant, for example, power plant, chemical plant, mass-production plant and so on. In order to ensure safety operation of the rotating machinery, vibration condition monitoring of the machinery can play a crucial role. In this study, the cantilever type of vibration energy harvester is designed for vibration condition monitoring applications of rotating machinery. The mechanical resonant frequency of piezoelectric bimorph cantilever will be tuned to the rotating speed of the machinery. Recently, new d31 type Macro-Fiber Composite (MFC) can be
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Szasz, Gyorgy, and Karen K. Fujikawa. "Comprehensive Piping Vibration Monitoring Programs." In ASME 2007 Power Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/power2007-22178.

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Though piping is one of the largest and most expensive types of components in a plant, piping vibration is seldom monitored in a routine manner. Piping itself rarely fails due to vibration, but the same can not be said for related components such as supports, welds, valves, etc. Typically the only time piping vibration is monitored is if high vibration is perceived by operators or is expected due to plant operational changes such as uprates or major component replacements. The procedure for a comprehensive piping vibration monitoring program is thus not as widely known as that for other compon
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Harker, Roger G., and Gary W. Handelin. "Enhanced On-Line Machinery Condition Monitoring Through Automated Start-Up/Shutdown Vibration Data Acquisition." In ASME 1990 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/90-gt-272.

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There are many benefits available through on-line machinery condition monitoring during steady state operation. However, certain dynamic vibration data is only available during a machine’s start-up and shutdown. In the past, we have limited acquisition and reduction of this dynamic data to start-up commissioning, or while troubleshooting a specific problem. This paper explores new techniques available to automate start-up and shutdown dynamic data acquisition. It then describes an effective on-line machinery information system using these techniques.
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Jones, Henry. "A Nonintrusive Rotor Blade Vibration Monitoring System." 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-084.

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A technique for measuring turbine engine rotor blade vibrations has been developed as an alternative to conventional strain-gage measurement systems. Light probes are mounted on the periphery of the engine rotor casing to sense the precise blade passing times of each blade in the row. The timing data are processed on-line to identify (1) individual blade vibration amplitudes and frequencies, (2) interblade phases, (3) system modal definitions, and (4) blade static deflection. This technique has been effectively applied to both turbine engine rotors and plant rotating machinery.
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Hewitt, James A., and Ronald F. Bosmans. "Vibration Diagnostics by Expert Systems That Link to Machinery Databases." In ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/91-gt-298.

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An Expert System is a software program that simulates the thought process of experts. The addition of an expert system to a machinery monitoring system provides a diagnostic monitoring system that is easier to use and understand. This paper describes a system that automatically analyzes the data collected by an online machinery monitoring system. It examines the system architecture required to add intelligent diagnostic capabilities to the monitoring system as well as the data necessary for adequate diagnosis. An example of the system’s operation is also presented.
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Yeh, Chiao Wei, and Rongshun Chen. "Using Convolutional Neural Network for Vibration Fault Diagnosis Monitoring in Machinery." In 2018 IEEE International Conference on Advanced Manufacturing (ICAM). IEEE, 2018. http://dx.doi.org/10.1109/amcon.2018.8614967.

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Pang Peilin and Ding Guangbin. "Wavelet-based diagnostic model for rotating machinery subject to vibration monitoring." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605102.

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