Analysis, processing and prognosis of faults in combustion engines (otto) through vibration: application of artificial immune systems
DOI:
https://doi.org/10.33448/rsd-v10i4.13741Keywords:
Biosystems; Vibration; Artificial immune systems; Combustion engines; SHM.Abstract
This work demonstrates the application of artificial immunological systems (AIS) of negative selection in prognosis and detection of failures in fuel mixtures. The motivation of this study is related to the maintenance of OTTO cycle combustion engines, whose property differs from the physicochemical analyses of specialized laboratories. This work was divided into distinct phases, which were the execution of the experiment considering a motorcycle engine; signal collection and database formation considering gas station fuel (500ml); the gas station fuel (500ml) with 100ml of gas station ethanol; the gas station fuel (500ml) with 200ml of gas station ethanol. The result found of the different signals, after the application of the AIS, successfully demonstrated the grouping and classification of the signals of the databases.
References
Bein, T., Elliott, S., Ferralli, L., Casella, M., Meschke, J., Saemann, E. U., Nielsen, F. K., & Kropph, W., Integrated Solutions for Noise & Vibration Control in Vehicles, Procedia - Social and Behavioral Sciences, 48, 919-931, 2012.
Bradley, D. W., & Tyrrell, A. M., Immunotronics-novel finite-state-machine architectures with built-in self-test using self-nonself differentiation. IEEE Transactions on Evolutionary Computation, 6, 227-238, 2002.
Crocker, M. J, Handbook of Noise and Vibration Control, John Wiley & Sons, 2007. 1569p.
Dasgupta, D., & Niño, L. F. Immunological Computation: Theory and Applications, Taylor & Francis Group, 2009. 298p.
De Castro, L. N., Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications, CRC Press, 2007. 674p.
Deraemaeker, A., & Worden, K. New Trends in Vibration Based Structural Health Monitoring, SpringerWien, 2010. 311p.
Farrar, C. R., & Worden, K. Structural Health Monitoring: A Machine Learning Perspective, John Wiley, 2013. 643p.
Forrest, S., Perelson, A. S., Allen, L., & Cheukuri, R., Self-Nonself Discrimination in a Computer, IEEE Computer Society Symposium on Research in Security and Privacy, 1994. 10.1109/RISP.1994.296580.
Gabbert, U., Duvigneau, F., & Ringwelski, S., Noise Control of Vehicle Drive Systems, Facta Universitatis - Mechanical Engineering Series, 15(2), 183-220, 2017. 10.22190/FUME170615009G.
Ganguli, R., & Panchore, V., The Rotating Beam Problem in Helicopter Dynamics, Springer Nature Singapore, 2018. 109p.
Gopalakrishnan, S., Ruzzene, M., & Hanagud, S.; Computational Techniques for Structural Health Monitoring, Springer-Verlag, 2011. 517p.
Hussain, Z. M., Sadik, A. Z., & O´Shea, P., Digital Signal Processing: An Introduction with MATLAB and Applications, Springer-Verlag, 2011. 373p.
James, F., Statistical Methods in Experimental Physics, World Scientific Publishing, 2006. 362p.
Levy, B. C. Random Processes with Applications to Circuits and Communications, Springer Nature, 2020. 467p.
Lima, F. P. A., Lotufo, A. D. P., & Minussi, C. R. Artificial Immune Systems Applied to Voltage Disturbance Diagnosis in Distribution Electrical Systems, Proceedings on IEEE PowerTech-2013, 2013. 10.1109/PTC.2013.6652127.
Meirovitch, L., Principles and Techniques of Vibrations, Prentice-Hall, 1997. 694p.
Montgomery, D. C., & Runger, G. C., Applied Statistics and Probability for Engineers, (3a ed.,) John Wiley & Sons, 2003. 978p.
Oppenheim, A. V., Schafer, R. W., & Buck, J. R. Discrete Time Signal Processing, Prentice Hall, 1998. 897p.
Outa, R., Chavarette, F. R., Mishra, V. N., Gonçalves, A. C., Roefero, L. G. P., & Moro, T. C., Prognosis and Fail Detection in a Dynamic Rotor Using Artificial Immunological System, Engineering Computations, 2020. 10.1108/EC-08-2019-0351.
Pulkrabek, W., Engineering Fundamentals of the Internal Combustion Engine, (2a ed.,) Pearson, 2003. 504p.
Roe, B. P., Probability and Statistics in Experimental Physics, (2a ed.,) Springer-Verlag, 2001. 262p.
Sacomano, J. B., Gonçalves, R. F., Da Silva, M. T., Bonila, S. H., & Sátyro, W. C., Industria 4.0: Conceitos e Fundamentos, Editora Blucher, 2018.182p.
Tan, Y. Anti-Spam Techniques Based on Artificial Immune System, CRC Press, 2016. 264p.
Trivedi, K. S. Probability and Statistics with Reliability, Queuing, and Computer Science Applications, John Wiley & Sons, 2016. 867p.
Yan, J. Machinery Prognostics and Prognosis Oriented Maintenance Management, John Wiley & Sons, 2015. 356p.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Gustavo Henrique Gonçalves; Roberto Outa; Fabio Roberto Chavarette; Aparecido Carlos Gonçalves; Adriana Garcia; Paulo Sérgio Barbosa dos Santos
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
