Sistemas de reconocimiento aplicando LDA y MRL a señales optoelectrónicas para sistemas ópticos de barrido óptico

Jesus Elias Miranda-Vega, Moisés Rivas López, Wendy Flores Fuentes, Oleg Sergiyenko, Julio Cesar Rodríguez Quiñonez, Lars Lindner

Resumen

Este articulo da seguimiento a la minimización de ruido óptico-eléctrico en los en sistemas ópticos de barrido OSS (Optical Scanning System) implementando técnicas para el reconocimiento de patrones, que se generan por cada fuente de referencia. Técnicas como análisis linear discriminante LDA (Linear Discriminant Analisys) y regresión lineal RL (Regression Linear) fueron implementadas para discriminar las señales causadas por otras fuentes distintas a la de referencia. Para aumentar la eficiencia de estos modelos fueron implementados LPC (en inglés, LPC; Linear Predictive Coding) y cuantiles como extractores de características. Los resultados fueron alentadores con tasas de reconocimiento mayores al 91.2% en algunos casos alcanzaron una exactitud del 100%.


Palabras clave

Acondicionamiento de señales; Sensores e instrumentos virtuales; Ruido; Modulación; Visión 3D y estéreo.

Texto completo:

PDF

Referencias

Auweraer, Herman Van der, & Peeters, Bart. (2003). Sensors and systems for structural health monitoring. Journal of Structural Control, 10(2), 117-125. doi: doi:10.1002/stc.21

Ba, X., Pan, Q., Ju, B., & Feng, Z. (2017). Ultrafast Displacement Actuation of Piezoelectric Stacks With Time-Sequence. IEEE Transactions on Industrial Electronics, 64(4), 2955-2961. doi: 10.1109/TIE.2016.2631119

Brooks, David R., & Mims, Forrest M. (2001). Development of an inexpensive handheld LED‐based Sun photometer for the GLOBE program. Journal of Geophysical Research: Atmospheres (1984–2012), 106(D5), 4733-4740. doi: 10.1029/2000JD900545

Cheng, Penggen, John Shi, Wenzhong, & Zheng, Wanxing. (2007). Large Structure Health Dynamic Monitoring Using GPS Technology.

Dave, Namrata. (2013). Feature extraction methods LPC, PLP and MFCC in speech recognition. International Journal For Advance Research in Engineering And Technology(ISSN 2320-6802), Volume 1.

Di Sante, Raffaella. (2015). Fibre Optic Sensors for Structural Health Monitoring of Aircraft Composite Structures: Recent Advances and Applications. Sensors, 15(8), 18666.

Doebling, S.W., Farrar, C.R., Prime, M.B., & Shevitz, D.W. (1996). Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review (pp. Medium: ED; Size: 132 p.): ; Los Alamos National Lab., NM (United States).

Farreras-Alcover, Isaac, Chryssanthopoulos, Marios K, & Andersen, Jacob Egede. (2015). Regression models for structural health monitoring of welded bridge joints based on temperature, traffic and strain measurements. Structural Health Monitoring, 14(6), 648-662. doi: 10.1177/1475921715609801

Feng, Dongming, & Feng, Maria Q. (2017). Experimental validation of cost-effective vision-based structural health monitoring. Mechanical Systems and Signal Processing, 88, 199-211. doi: https://doi.org/10.1016/j.ymssp.2016.11.021

Flores-Fuentes, Wendy, Miranda-Vega, Jesús, Rivas-López, Moisés, Sergiyenko, Oleg, Rodríguez-Quiñonez, Julio, & Lindner, Lars. (2018). Comparison between Different Types of Sensors Used in the Real Operational Environment Based on Optical Scanning System. Sensors, 18(6), 1684.

Flores-Fuentes, Wendy, Rivas-Lopez, Moises, Sergiyenko, Oleg, Gonzalez-Navarro, Felix F., Rivera-Castillo, Javier, Hernandez-Balbuena, Daniel, & Rodríguez-Quiñonez, Julio C. (2014). Combined application of Power Spectrum Centroid and Support Vector Machines for measurement improvement in Optical Scanning Systems. Signal Processing, 98(Supplement C), 37-51. doi: https://doi.org/10.1016/j.sigpro.2013.11.008

Jayalakshmi, T., & A, Santhakumaran. (2011). Statistical normalization and back propagation for classification. International Journal Computer Theory Engineering (IJCTE), 3, 89-93.

Jesus E. Miranda-Vega, Moises Rivas-Lopez, Wendy Flores-Fuentes, Oleg Sergiyenko, Julio Cesar Rodríguez-Quiñonez, Lars Lindner. (2018). Methods to Reduce the Optical Noise in a Real-World Environment of an Optical Scanning System for Structural Health Monitoring (pages 301-336). In I. Global (Ed.), Optoelectronics in Machine Vision-Based Theories and Applications (pp. 301-336).

Jo, H., Sim, S. H., Tatkowski, A., Spencer Jr, B. F., & Nelson, M. E. (2013). Feasibility of displacement monitoring using low-cost GPS receivers. Structural Control and Health Monitoring, 20(9), 1240-1254. doi: 10.1002/stc.1532

Jung, Hwee Kwon, & Park, Gyuhae. (2018). Integrating passive- and active-sensing techniques using an L-shaped sensor array for impact and damage localization. Journal of Intelligent Material Systems and Structures, 29(17), 3436-3443. doi: 10.1177/1045389x17733059

Martyniuk, P., Madejczyk, P., Kopytko, M., Gawron, W., & Rutkowski, J. (2017). Utmost response time of long-wave HgCdTe photodetectors operating under zero voltage condition. Optical and Quantum Electronics, 50(1), 17. doi: 10.1007/s11082-017-1278-y

Mayorga-Ortiz, P., Druzgalski, C., Miranda Vega, J.E., & Zeljkovic, V. (2016). Determinación del Tamaño Óptimo de Modelos HMM-GMM para Clasificación de las Señales Bioacústicas. Revista mexicana de ingeniería biomédica, 37, 63-79.

Mims, Forrest M. (2000). Solar Radiometer With Light-Emitting Diodes As Spectrally-Selective Detectors. Applied Optics, 39(34), 6517-6518. doi: 10.1364/AO.39.006517

Miranda-Vega, Jesús E., Rivas-López, Moisés, Flores-Fuentes, Wendy, Sergiyenko, Oleg, Lindner, Lars, & Rodríguez-Quiñonez, Julio C. (2019). Implementación digital de filtros FIR para la minimización del ruido óptico y optoelectrónico de un sistema de barrido óptico. 2019, 16(3), 14. doi: 10.4995/riai.2019.10210

Miranda Vega, Jesus Elias, Mayorga Ortiz, P., Drugalski, C., & Calderas Ochoa, D. O. (2017). Modelos acústicos HMM multimodales para sonidos cardiacos y pulmonares. Revista Mexicana de Ingeniería Biomédica(3), 197-209%V 135.

Rivera‐Castillo, Javier, Flores‐Fuentes, Wendy, Rivas‐López, Moisés, Sergiyenko, Oleg, Gonzalez‐Navarro, Felix F., Rodríguez‐Quiñonez, Julio C., . . . Básaca‐Preciado, Luis C. (2017). Experimental image and range scanner datasets fusion in SHM for displacement detection. Structural Control and Health Monitoring, 24(10), 1967. doi: https://doi.org/10.1002/stc.1967

Sergiyenko, Oleg, Hernandez, Wilmar, Tyrsa, Vira, Cruz, Luis Felipe Devia, Starostenko, Oleg, & Peña-Cabrera, Mario. (2009). Remote Sensor for Spatial Measurements by Using Optical Scanning. Sensors, 9(7), 5477-5492.

Sohn, Hoon, Czarnecki, Jerry A, & Farrar, Charles R. (2000). Structural health monitoring using statistical process control. Journal of structural engineering, 126(11), 1356-1363.

Sohn, Hoon, Farrar, Charles, Hunter, Norman, & Worden, Keith. (2003). Structural Health Monitoring Using Statistical Pattern Recognition Techniques. Journal of Dynamic Systems Measurement and Control, 123. doi: 10.1115/1.1410933

Abstract Views

895
Metrics Loading ...

Metrics powered by PLOS ALM




Creative Commons License

Esta revista se publica bajo una Licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Universitat Politècnica de València     https://doi.org/10.4995/riai

e-ISSN: 1697-7920     ISSN: 1697-7912