Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Luis Magadan"'
Autor:
Luis Magadan, Francisco José Suárez Alonso, Daniel Fernando Garcia-Martinez, Francisco Javier De la Calle Herrero, Juan Carlos Granda-Candas
Publikováno v:
Applied Sciences
Volume 13
Issue 4
Pages: 2220
Scopus
Volume 13
Issue 4
Pages: 2220
Scopus
Remaining useful lifetime (RUL) predictions of electric motors are of vital importance in the maintenance and reduction of repair costs. Thanks to technological advances associated with Industry 4.0, physical models used for prediction and prognostic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27b67236312c3c486c9b0450d8eab177
Autor:
Francisco José Suárez Alonso, Daniel Fernando Garcia-Martinez, Luis Magadan, Juan Carlos Granda-Candas
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031063701
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22fd0cb8d75e7b4bc661dc48cf95af8
https://doi.org/10.1007/978-3-031-06371-8_43
https://doi.org/10.1007/978-3-031-06371-8_43
