Zobrazeno 1 - 10
of 823
pro vyhledávání: '"Curvilinear Component Analysis"'
Autor:
Rahul R Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo
Publikováno v:
IEEE Access, Vol 9, Pp 2201-2212 (2021)
Detection of stator-based faults in Induction Machines (IMs) can be carried out in numerous ways. In particular, the shorted turns in stator windings of IM are among the most common faults in the industry. As a matter of fact, most IMs come with pre-
Externí odkaz:
https://doaj.org/article/6730e1c3a7104d01b6eb109547a0f7e0
Publikováno v:
In Neural Networks July 2018 103:108-117
Akademický článek
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Akademický článek
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Autor:
Giansalvo Cirrincione, Andrea Tortella, Eros Pasero, Rahul R Kumar, Maurizio Cirrincione, Mauro Andriollo, Vincenzo Randazzo
Publikováno v:
IEEE Access, Vol 9, Pp 2201-2212 (2021)
Detection of stator-based faults in Induction Machines (IMs) can be carried out in numerous ways. In particular, the shorted turns in stator windings of IM are among the most common faults in the industry. As a matter of fact, most IMs come with pre-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44a1f78346fa5946767ed60c0a352b7e
https://doi.org/10.1109/access.2020.3047202
https://doi.org/10.1109/access.2020.3047202
Publikováno v:
In Information Sciences 20 February 2013 223:75-101
Publikováno v:
Neural Approaches to Dynamics of Signal Exchanges ISBN: 9789811389498
Neural Approaches to Dynamics of Signal Exchanges
Neural Approaches to Dynamics of Signal Exchanges
Fault diagnostics for electrical machines is a very difficult task because of the non-stationarity of the input information. Also, it is mandatory to recognize the pre-fault condition in order not to damage the machine. Only techniques like the princ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd61823da9348848714e7c5aa095c4bb
https://doi.org/10.1007/978-981-13-8950-4_22
https://doi.org/10.1007/978-981-13-8950-4_22
Autor:
Maurizio Cirrincione, Ali Mohammadi, Giansalvo Cirrincione, Vincenzo Randazzo, Damien Guilbert
Publikováno v:
21st International Conference on Electrical Machines and Systems (ICEMS)
21st International Conference on Electrical Machines and Systems (ICEMS), Oct 2018, Jeju, South Korea. pp.2221-2225
21st International Conference on Electrical Machines and Systems (ICEMS), Oct 2018, Jeju, South Korea. pp.2221-2225
International audience; Nowadays, the use of electrolyzers to cleanly and efficiently generate hydrogen from renewable energy sources is an attractive solution. Like fuel cell systems, DC/DC converters are needed to interface the DC bus with the elec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d43216d9a501f1f066359100c3e0ff
https://hal.archives-ouvertes.fr/hal-01948767
https://hal.archives-ouvertes.fr/hal-01948767
Publikováno v:
Multidisciplinary Approaches to Neural Computing ISBN: 9783319569031
Multidisciplinary Approaches to Neural Computing
Multidisciplinary Approaches to Neural Computing
Dealing with time-varying high dimensional data is a big problem for real time pattern recognition. Only linear projections, like principal component analysis, are used in real time while nonlinear techniques need the whole database (offline). Their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84630f941f7e3604b2c33a4c20d4d993
https://doi.org/10.1007/978-3-319-56904-8_15
https://doi.org/10.1007/978-3-319-56904-8_15