Academic literature on the topic 'Condition monitoring and vibration analysis'

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Journal articles on the topic "Condition monitoring and vibration analysis"

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Oba, Takuya, Koichi Yamada, Hitoshi Soma, and Katsuya Tanifuji. "356776 CONDITION MONITORING FOR SHINKANSEN BOGIES BASED ON VIBRATION ANALYSIS(Condition Monitoring,Technical Session)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2009 (2009): _356776–1_—_356776–6_. http://dx.doi.org/10.1299/jsmestech.2009._356776-1_.

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Xiao, Feng, Chen Tian, Isaac Wait, Zhaohui (Joey) Yang, Benjamin Still, and Gang S. Chen. "Condition monitoring and vibration analysis of wind turbine." Advances in Mechanical Engineering 12, no. 3 (2020): 168781402091378. http://dx.doi.org/10.1177/1687814020913782.

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Health condition monitoring through comprehensive monitoring, incipient fault diagnosis, and the prediction of impending faults allows for the promotion of the long-term performance of wind turbines, particularly those in harsh environments such as cold regions. The condition monitoring of wind turbines is characterized by the difficulties associated with the lack of measured data and the nonstationary, stochastic, and complicated nature of vibration responses. This article presents a characterization of the vibrations of an operational wind turbine by spectrogram, scalogram, and bi-spectrum a
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Bensalem, A., C. A. Fairfield, and A. Sibbald. "Vibration Condition Monitoring of Brickwork Columns." Journal of Low Frequency Noise, Vibration and Active Control 16, no. 1 (1997): 25–42. http://dx.doi.org/10.1177/026309239701600103.

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This paper describes the development of a condition monitoring and analysis technique, based on the pulse echo and impulse excitation method, for brickwork structures. The method is applied to structural brickwork columns with different brick and mortar strength combinations. Dynamic time integration finite element analysis modelled the columns’ behaviour under impact loading. The results were transformed to the frequency domain for obtaining the resonant frequencies: the results were successfully compared to those found experimentally and by natural frequency analysis. The effect of a control
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Yesilyurt, I., and H. Ozturk. "Tool condition monitoring in milling using vibration analysis." International Journal of Production Research 45, no. 4 (2007): 1013–28. http://dx.doi.org/10.1080/00207540600677781.

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Zhou, Chang'an, Bin Yang, Kai Guo, et al. "Vibration singularity analysis for milling tool condition monitoring." International Journal of Mechanical Sciences 166 (January 2020): 105254. http://dx.doi.org/10.1016/j.ijmecsci.2019.105254.

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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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Hui, K. H., L. M. Hee, M. Salman Leong, and Ahmed M. Abdelrhman. "Vibration Condition Monitoring: Latest Trend and Review." Applied Mechanics and Materials 773-774 (July 2015): 139–43. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.139.

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Vibration analysis has proven to be the most effective method for machine condition monitoring to date. Various effective signal analysis methods to analyze and extract fault signature that embedded in the raw vibration signals have been introduced in the past few decades such as fast Fourier transform (FFT), short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. however, these is still a need for human to interpret vibration signature of faults and it is regarded as one of the major challenge in vibration condition monit
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Muhlisin, Iip, and Rusman Rusyadi. "Vibration Analysis on Rotating Machines using Fast Fourier Transform (FFT)." ACMIT Proceedings 3, no. 1 (2019): 67–75. http://dx.doi.org/10.33555/acmit.v3i1.28.

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The history has record that heavy industries face major problems that causes by variant types of mechanical failures came from rotating machines. The Vibrations in rotating machine almost fond in everywhere, due to unbalances, misalignments and imperfect part, analytical approaches has shown that vibration monitoring has great capability in detecting and addressing the defect particular part in the machine line .The vibration velocities and vibration load will be measured at different speeds using The Time-frequency analysis at initial condition. The result of vibration readings spectrum analy
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OBA, Takuya, Koichi YAMADA, Nobuyuki OKADA, Hitoshi SOMA, and Katsuya TANIFUJI. "Condition Monitoring for Shinkansen Bogies Based on Vibration Analysis." Transactions of the Japan Society of Mechanical Engineers Series C 75, no. 757 (2009): 2459–67. http://dx.doi.org/10.1299/kikaic.75.2459.

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OBA, Takuya, Koichi YAMADA, Nobuyuki OKADA, and Katsuya TANIFUJI. "Condition Monitoring for Shinkansen Bogies Based on Vibration Analysis." Journal of Mechanical Systems for Transportation and Logistics 2, no. 2 (2009): 133–44. http://dx.doi.org/10.1299/jmtl.2.133.

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Dissertations / Theses on the topic "Condition monitoring and vibration analysis"

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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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Moussa, Wael. "Thermography-Assisted Bearing Condition Monitoring." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31379.

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Abstract Despite the large amount of research work in condition based maintenance and condition monitoring methods, there is still a need for more reliable and accurate methods. The clear evidence of that need is the continued dependence on time based maintenance, especially for critical applications such as turbomachinery and airplane engines. The lack of accurate condition monitoring systems could lead to not only the unexpected failures as well as the resulting hazards and repair costs, but also a huge waste of material and time because of unnecessary replacement due to false alarms and unn
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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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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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Mirhadizadeh, S. A. "Monitoring hydrodynamic bearings with acoustic emission and vibration analysis." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7888.

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Acoustic emission (AE) is one of many available technologies for condition health monitoring and diagnosis of rotating machines such as bearings. In recent years there have been many developments in the use of Acoustic Emission technology (AET) and its analysis for monitoring the condition of rotating machinery whilst in operation, particularly on high speed machinery. Unlike conventional technologies such as oil analysis, motor current signature analysis (MCSA) and vibration analysis, AET has been introduced due to its increased sensitivity in detecting the earliest stages of loss of mechanic
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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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Barbini, Leonardo. "Techniques for condition monitoring using cyclo-non-stationary signals." Thesis, University of Bath, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761025.

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Condition based maintenance is becoming increasingly popular in many industrial contexts, offering substantial savings and minimising accidental damage. When applied to rotating machinery, its most common tool is vibration analysis, which relies on well-established mathematical models rooted in the theory of cyclo-non-stationary processes. However, the extraction of diagnostic information from the real world vibration signals is a delicate task requiring the application of sophisticated signal processing techniques, tailored for specific machines operating under restricted conditions. Such dif
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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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Sihra, Tarsem Singh. "The application of dual channel analysis techniques for on-line vibration monitoring of mining processes." Thesis, University of the West of Scotland, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386687.

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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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Books on the topic "Condition monitoring and vibration analysis"

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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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Randall, Robert Bond. Vibration-based Condition Monitoring. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470977668.

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Vibratory condition monitoring of machines. CRC Press, 2000.

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Barszcz, Tomasz. Vibration-Based Condition Monitoring of Wind Turbines. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05971-2.

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Vibration-based condition monitoring: Industrial, aerospace, and automotive applications. Wiley, 2011.

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Randall, Robert Bond. Vibration-based condition monitoring: Industrial, aerospace, and automotive applications. Wiley, 2010.

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Thomson, William T., and Ian Culbert. Current Signature Analysis for Condition Monitoring of Cage Induction Motors. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119175476.

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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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Book chapters on the topic "Condition monitoring and vibration analysis"

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Barszcz, Tomasz. "Standard Vibration Analysis Methods." In Applied Condition Monitoring. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05971-2_2.

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Kruczek, Piotr, Norbert Gomolla, Agnieszka Wyłomańska, and Radosław Zimroz. "Cyclostationary Approach for Long Term Vibration Data Analysis." In Applied Condition Monitoring. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11220-2_38.

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Merzoug, Mustapha, Khalid Ait-Sghir, Abdelhamid Miloudi, Jean Paul Dron, and Fabrice Bolaers. "Early Detection of Gear Failure by Vibration Analysis." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7_8.

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Grajales, Jairo A., Héctor F. Quintero, Carlos A. Romero, and Edison Henao. "Engine Diagnosis Based on Vibration Analysis Using Different Fuel Blends." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61927-9_25.

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Bouslema, Marwa, Taher Fakhfakh, Rachid Nasri, and Mohamed Haddar. "Vibration Analysis of Planetary Gear Connected by Flexible Coupling Using Substructuring Methodology." In Applied Condition Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85584-0_20.

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Saadat, Boulanouar, Abdallah Kouzou, Ahmed Hafaifa, and Mouloud Guemana. "Gas Turbine Supervision Based on Vibration Analysis and Measurement: Gas Compression Station Investigation." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62042-8_1.

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Łubiński, Jacek, and Krzysztof Druet. "The Application of Vibration Recording and Analysis in Tribological Research on Sliding Friction." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62042-8_19.

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Hamza, Ghazoi, Moncef Hammadi, Maher Barkallah, et al. "Analytical Based Approach for Vibration Analysis in Modelica: Application to the Bridge Crane System." In Applied Condition Monitoring. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94616-0_8.

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Sinha, Jyoti K. "Experimental Modal Analysis." In Industrial Approaches in Vibration-Based Condition Monitoring. CRC Press, 2020. http://dx.doi.org/10.1201/9781315147222-8.

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Sawalhi, Nader, and Suri Ganeriwala. "Analysis and Signal Processing of a Gearbox Vibration Signal with a Defective Rolling Element Bearing." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20463-5_6.

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Conference papers on the topic "Condition monitoring and vibration analysis"

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Petty, D. J. "Analysis of bearing vibration monitoring." In IEE Colloquium Understanding Your Condition Monitoring. IEE, 1999. http://dx.doi.org/10.1049/ic:19990654.

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Liu, Zhiyuan, Xinqian Xia, Shengchang Ji, et al. "Fault Diagnosis of OLTC Based on Time-Frequency Image Analysis of Vibration Signal." In 2018 Condition Monitoring and Diagnosis (CMD). IEEE, 2018. http://dx.doi.org/10.1109/cmd.2018.8535918.

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Zhan, Cao, Shengchang Ji, Yong Liu, Lingyu Zhu, Yuhang Shi, and Fuqiang Ren. "Winding Mechanical Fault Diagnosis Technique of Power Transformer Based on Time-Frequency Vibration Analysis." In 2018 Condition Monitoring and Diagnosis (CMD). IEEE, 2018. http://dx.doi.org/10.1109/cmd.2018.8535963.

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Minaiepour, Hamidreza, Hamid Sarabeigi, and Ehsan Heydari. "Surveying compressor C-2501 vibration problem by analysis of vibration and its analytical report." In 2012 IEEE International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2012. http://dx.doi.org/10.1109/cmd.2012.6416244.

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Sewak, Ram, Rajesh Ranjan, and A. K. L. Rao. "Intricate aspects Of turbogenerator endwinding vibration monitoring based on data analysis." In 2008 International Conference on Condition Monitoring and Diagnosis. IEEE, 2008. http://dx.doi.org/10.1109/cmd.2008.4580247.

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Ma Qixiao, Ding Dengwei, Xue Zhihang, and Li Weiwei. "Abnormal vibration analysis of GIS based on time frequency detection." In 2016 International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2016. http://dx.doi.org/10.1109/cmd.2016.7757889.

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Munir, Buyung Sofiarto, Johan J. Smit, and I. G. M. Rama Rinaldi. "Diagnosing winding and core condition of power transformer by vibration signal analysis." In 2012 IEEE International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2012. http://dx.doi.org/10.1109/cmd.2012.6416170.

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Albarbar, A., R. Gennish, F. Gu, and A. Ball. "Lubricating Oil Condition Monitoring Using Vibration and Air-Borne Acoustic Measurements." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58360.

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Modern diesel engine maintenance programs incorporate various methods and techniques for early fault detection and diagnosis to maintain efficiency, low pollution and high reliability and to avoid catastrophic failures. This study has been conducted aiming at engine oil condition monitoring and quality evaluation by analysing the engine block vibration and its induced noise. The vibration signals were measured using an accelerometer mounted on the thrust side of the first cylinder in a four cylinder diesel engine, and the noise was recorded using a microphone facing the cylinder. The signals a
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Tsypkin, Mikhail. "Induction motor condition monitoring: Vibration analysis technique - A practical implementation." In Drives Conference (IEMDC). IEEE, 2011. http://dx.doi.org/10.1109/iemdc.2011.5994629.

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Zhanling Li, Shunong Zhang, and Wenwen Shi. "An integrated method to detect the incipient degradation of bearings by vibration analysis and feature extraction." In 2016 International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2016. http://dx.doi.org/10.1109/cmd.2016.7757914.

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Reports on the topic "Condition monitoring and vibration analysis"

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Sheng, Shuangwen. Wind Turbine Gearbox Condition Monitoring Round Robin Study - Vibration Analysis. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1048981.

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Yacout, A. M., and Y. Orechwa. Material degradation analysis and maintenance decisions based on material condition monitoring during in-service inspections. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/380364.

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Upadhyaya, Belle, J. Wesley Hines, Brian Damiano, et al. In-situ Condition Monitoring of Components in Small Modular Reactors Using Process and Electrical Signature Analysis. Final report, volume 1. Development of experimental flow control loop, data analysis and plant monitoring. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1183686.

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Dodd, Hope, David Peitz, Gareth Rowell, et al. Protocol for Monitoring Fish Communities in Small Streams in the Heartland Inventory and Monitoring Network. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284726.

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Fish communities are an important component of aquatic systems and are good bioindicators of ecosystem health. Land use changes in the Midwest have caused sedimentation, erosion, and nutrient loading that degrades and fragments habitat and impairs water quality. Because most small wadeable streams in the Heartland Inventory and Monitoring Network (HTLN) have a relatively small area of their watersheds located within park boundaries, these streams are at risk of degradation due to adjacent land use practices and other anthropogenic disturbances. Shifts in the physical and chemical properties of
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Simms, Janet, Benjamin Breland, and William Doll. Geophysical investigation to assess condition of grouted scour hole : Old River Control Complex—Low Sill Concordia Parish, Louisiana. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41863.

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Geophysical surveys, both land-based and water-borne, were conducted at the Old River Control Complex‒Low Sill, Concordia Parish, LA. The purpose of the surveys was to assess the condition of the grout within the scour region resulting from the 1973 flood event, including identification of potential voids within the grout. Information from the ground studies will also be used for calibration of subsequent marine geophysical data and used in stability analysis studies. The water-borne survey consisted of towed low frequency (16-80 MHz) ground penetrating radar (GPR), whereas the land-based surv
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