Relación entre los fallos y las variables de diagnóstico en motores diesel
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References
ALBARBAR, A.: ¨An investigation into diesel engine air-borne acoustics using continuous wavelet transforms¨, Journal of Mechanical Science and Technology, ISSN-1738- 494X, 27, 2013.
CAMACHO, O.; PADILLA, D.; GOUVENIA, J.L.: ¨Diagnóstico de fallas utilizando técnicas estadísticas multivariantes¨, Revista Técnica de la Facultad de Ingeniería Universidad del Zulia, ISSN-0254-0770, 30 (3), 2007.
CAMPOS, J.: “Development in the application of ICT in condition monitoring and maintenance”, Computers in Industry, ISSN- 0166-3615, 60, 2009.
DIMITRIOS, K.; MOSHOU, D.X.; PANTAZI, E.; GRAVALOS, I.; SAWALHI, N.; LOUTRIDIS, S.: ¨A machine learning approach for the condition monitoring of rotating machinery¨, Journal of Mechanical Science and Technology, ISSN-1738- 494X, 28, 2014.
FIGLUS, T.; LIŠČÁK, Š.; WILK, A.; BOGUSŁAW, Ł.: ¨Condition monitoring of engine timing system by using wavelet packet decomposition of a acoustic signal ¨, Journal of Mechanical Science and Technology, ISSN-1738- 494X, 28: 1663-1671, 2014.
GUTIÉRREZ, H.P.; DE LA VARA, R.S.: Control estadístico de calidad y seis sigmas, pp. 636, McGraw-Hill Interamericana Editores, S.A de C.V. ISBN-970-10- 4724-9, México, D.F. 2004.
JINMING, L.; ZHENZHEN, L.; WANG, K.: ¨Fault Diagnosis of Diesel Engine Based on EMD and TFD¨, Journal Advances in Mechanical and Electronic Engineering, ISSN-978-3-642-31507-7, 176: 261-266, 2012.
PAL, S.K.; SHIU, S.C.K.: Foundations of soft Case – Based Reasoning, Ed. John Wiley & Sons, pp. 274, ISBN-0- 471-08635-5, New Jersey,USA, 2004.
PORTEIRO, J.; COLLAZO, J.; PATI ÑO, D.; MÍGUEZ, J.L.: “Diesel engine condition monitoring using a multi-net neural net work system with non intrusive sensors”, Applied Thermal Engineering, ISSN- 1359- 4311, 31, 2011.
REYES VAILLANT, O.; CABRERA GÓMEZ, J.: ¨Identificación experimental de patrones de falla en flujometros del tipo turbina¨, Ingeniería Mecánica, ISSN-1815-5944, 10 (1): 21-29, 2007.
SEYED SAEID, M.; FARZAD, A. S.; AHMAD, J.; NAVA, G. H.: “Modeling and fuzzy cont rol of the engine coolant conditioning system in an IC engine test bed”, Journal of Mechanical Science and Technology, ISSN- 1976-3824, 24, 2010.
SHIGUI, L.; LI, Y.; YANG, Q.: “Research on the applications of infrared technique in the diagnosis and prediction of diesel engine exhaust fault”, Journal of Thermal Science, ISSN: 1993-033X, 20, 2011.
WEI, L.; ZHANG, L.; WANG, Z.; DUAN, L.: “Using fuzzy method to evaluate safet y condition of big diesel engine”, Journal of Loss Prevention in the Process Industries, ISSN-0950- 4230, 22 , 20 09.
ZHANG, S. M.; TIAN, F.; REN, F. G. F.; YANG. L.: “SCR cont rol st rategy based on ANNs and Fuzzy PID in a heavy dut y diesel engine”, International Journal of Automotive Technology, ISSN 1976 -3832 , 13, 2012.
ZHIXIONG, L.; XI NPI NG, Y.; CHENGQI NG, Y.; PENG, Z.: ¨Intelligent fault diagnosis method for marine diesel engines using instantaneous angular speed¨, Journal of Mechanical Science and Technology, ISSN-1738- 494X, 26, 2012.