Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jean-Carlo Macancela"'
Autor:
Réne-Vinicio Sánchez, Pablo Lucero, Jean-Carlo Macancela, Higinio Rubio Alonso, Mariela Cerrada, Diego Cabrera, Cristina Castejón
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4367 (2020)
Railway safety is a matter of importance as a single failure can involve risks associated with economic and human losses. The early fault detection in railway axles and other railway parts represents a broad field of research that is currently under
Externí odkaz:
https://doaj.org/article/e6d3835c948b4cfaa91ed305ec17f6ee
Autor:
Mariela Cerrada, Jean-Carlo Macancela, Diego Cabrera, Edgar Estupiñan, René-Vinicio Sánchez, Ruben Medina
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2512 (2020)
Prognostics and Health Management technologies are useful for early fault detection and optimization of reliability in mechanical systems. Reciprocating compressors units are commonly used in industry for gas pressurization and transportation, and th
Externí odkaz:
https://doaj.org/article/39a1fc33cbf54d16a1eb6d9fd1077a77
Autor:
René-Vinicio Sánchez, Jean Carlo Macancela, Luis-Renato Ortega, Diego Cabrera, Fausto Pedro García Márquez, Mariela Cerrada
Publikováno v:
Sensors, Vol 24, Iss 16, p 5400 (2024)
This article presents a comprehensive collection of formulas and calculations for hand-crafted feature extraction of condition monitoring signals. The documented features include 123 for the time domain and 46 for the frequency domain. Furthermore, a
Externí odkaz:
https://doaj.org/article/5d2175220d6747a6a3b7f7046e4cc014
Autor:
Mariela Cerrada, Leonardo Trujillo, Daniel E. Hernández, Horacio A. Correa Zevallos, Jean Carlo Macancela, Diego Cabrera, René Vinicio Sánchez
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 1, p 6 (2022)
Gearboxes are widely used in industrial processes as mechanical power transmission systems. Then, gearbox failures can affect other parts of the system and produce economic loss. The early detection of the possible failure modes and their severity as
Externí odkaz:
https://doaj.org/article/7c705836ba49480c97c6e49f2038258b
Publikováno v:
IFAC-PapersOnLine. 55:211-216
Autor:
Jean-Carlo Macancela, René-Vinicio Sánchez, Pablo Lucero, Mariela Cerrada, Diego Cabrera, Rubén Medina
Publikováno v:
Journal of Intelligent Manufacturing. 33:1031-1055
This paper describes two algorithms for feature extraction from the Poincare plot which is constructed with the vibration signals measured in roller bearings and gearboxes. The extracted features are used for classifying 10 types of fault conditions
Autor:
Rafael E. Vásquez, Jean-Carlo Macancela, René-Vinicio Sánchez, Pablo Lucero, Mariela Cerrada, Rubén Medina, Diego Cabrera
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 104:2195-2214
This paper addresses the use of two algorithms based on symbolic dynamics analysis of vibration signal for fault diagnosis in gearboxes. The symbolic dynamics algorithm (SDA) works by subdividing the phase space described by the Poincare plot into se
Autor:
Higinio Rubio Alonso, Cristina Castejón, René-Vinicio Sánchez, Jean-Carlo Macancela, Mariela Cerrada, Pablo Lucero, Diego Cabrera
Publikováno v:
Applied Sciences
Volume 10
Issue 12
Applied Sciences, Vol 10, Iss 4367, p 4367 (2020)
Volume 10
Issue 12
Applied Sciences, Vol 10, Iss 4367, p 4367 (2020)
Railway safety is a matter of importance as a single failure can involve risks associated with economic and human losses. The early fault detection in railway axles and other railway parts represents a broad field of research that is currently under
Autor:
Ximena Alvarez, Diana Jadan, René-Vinicio Sánchez, Mariela Cerrada, Rubén Medina, Jean-Carlo Macancela
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:3605-3618
Autor:
Jean-Carlo Macancela, René-Vinicio Sánchez, Mariela Cerrada, Rafael E. Vásquez, Pablo Lucero, Diego Cabrera
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:3463-3473