Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daniel Zurita-Millán"'
Autor:
Jesus Adolfo Cariño-Corrales, Juan Jose Saucedo-Dorantes, Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan Antonio Ortega-Redondo, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
This paper presents an adaptive novelty detection methodology applied to a kinematic chain for the monitoring of faults. The proposed approach has the premise that only information of the healthy operation of the machine is initially available and fa
Externí odkaz:
https://doaj.org/article/3b8a8c3aef014ff6b1dece0f5922b77b
Autor:
Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
Vibration monitoring plays a key role in the industrial machinery reliability since it allows enhancing the performance of the machinery under supervision through the detection of failure modes. Thus, vibration monitoring schemes that give informatio
Externí odkaz:
https://doaj.org/article/024ecdf0c4524b9e9a3a9b44700329e6
Autor:
Luis Romeral Martinez, Miguel Delgado Prieto, Wensi Wang, Juan Antonio Ortega Redondo, Anderson Machado Ortiz, Daniel Zurita Millán
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Advanced sensing strategies in the industrial sector are becoming a valued technological answer to increase the performance and competitiveness. The development of enhanced sensing solutions considering both technology and monitoring requirements is,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc68c4d370ba578a9ffaa8501a548464
https://doi.org/10.1109/tim.2015.2476278
https://doi.org/10.1109/tim.2015.2476278
Autor:
Daniel Zurita-Millán, Jesus Adolfo Carino-Corrales, Juan Jose Saucedo-Dorantes, Roque Alfredo Osornio-Rios, Juan Antonio Ortega-Redondo, Miguel Delgado-Prieto, Rene de Jesus Romero-Troncoso
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
This paper presents an adaptive novelty detection methodology applied to a kinematic chain for the monitoring of faults. The proposed approach has the premise that only information of the healthy operation of the machine is initially available and fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5986550f7a79d0e7e83453c1787a044e
https://doaj.org/article/3b8a8c3aef014ff6b1dece0f5922b77b
https://doaj.org/article/3b8a8c3aef014ff6b1dece0f5922b77b