Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Picazo Rodenas"'
Autor:
Picazo Rodenas, María José
Tesis por compendio
[EN] The main objective of this Thesis is the performance and validation of an automatic diagnostic system for induction motor failures, based mainly on the use of Infrared Thermography Technique. The implementation of these
[EN] The main objective of this Thesis is the performance and validation of an automatic diagnostic system for induction motor failures, based mainly on the use of Infrared Thermography Technique. The implementation of these
Externí odkaz:
http://hdl.handle.net/10251/62317
Publikováno v:
In Engineering Failure Analysis 15 December 2013 35:178-192
Publikováno v:
IECON
Infrared thermography can be a very useful technique for condition monitoring because the most common faults suffered by induction motors cause a temperature rise in the motor’s frame. Moreover, this technique is non-intrusive, affordable and very
Publikováno v:
IECON
Infrared thermography is a technique that has been extensively used for the periodic inspection of electrical installations, distribution lines and power transformers. Its utilization for the condition monitoring of electric motors is much more recen
Autor:
Maria J. Picazo-Rodenas, Jose Alfonso Antonino Daviu, Hubert Razik, David Lopez-Perez, Pau Redon
Publikováno v:
Proceedings of the 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
11th IEEE SDEMPED
11th IEEE SDEMPED, Aug 2017, Tinos, Greece. ⟨10.1109/DEMPED.2017.8062415⟩
11th IEEE SDEMPED
11th IEEE SDEMPED, Aug 2017, Tinos, Greece. ⟨10.1109/DEMPED.2017.8062415⟩
International audience; In electrical engineering, the utilization of infrared thermography has been traditionally confined to the periodic inspection of electric installations, distribution lines and power transformers, among other applications. Ove
Publikováno v:
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED).
Induction motors are the mostly used electric machines in industry, due to their manufacturing features, which makes them more economical and robust. Consequently, it is of special interest to identify the most common faults present in these machines
Autor:
María José, Picazo Rodenas
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The main objective of this Thesis is the performance and validation of an automatic diagnostic system for induction motor failures, based mainly on the use of Infrared Thermography Technique. The implementation of these systems allow the detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7a719b67da3500ecc410e86252f956d
http://hdl.handle.net/10251/62317
http://hdl.handle.net/10251/62317
Autor:
Jose A. Antonino-Daviu, Ariel Mota-Villar, Rafael Royo-Pastor, Vicente Climente-Alarcon, Maria J. Picazo-Rodenas
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] There exists no single quantity able to diagnose all possible failures taking place in induction motors. Currents and vibrations monitoring are rather common in the industry, but each of these quantities alone can only detect some specific failu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::669071c09e5d1abffe84770a4460dad8
https://hdl.handle.net/10251/98651
https://hdl.handle.net/10251/98651
Autor:
Petros Karvelis, Ioannis Tsoumas, Jose A. Antonino-Daviu, Maria Jose Picazo Rodenas, George Georgoulas, Chsysostomos D. Stylios, Vicente Climente-Alarcon
Publikováno v:
IECON
Eventual failures in induction machines may lead to catastrophic consequences in terms of economic costs for the companies. The development of reliable systems for fault detection that enable to diagnose a wide range of faults is a motivation of many
Autor:
A. Mota-Villar, R. Royo-Pastor, Jose A. Antonino-Daviu, Vicente Climente-Alarcon, M. J. Picazo-Rodenas
Publikováno v:
2014 International Conference on Electrical Machines (ICEM).