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pro vyhledávání: '"F, Filippetti"'
Akademický článek
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Publikováno v:
Annali di igiene : medicina preventiva e di comunita. 29(4)
Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease in children and an important cause of short and long-term disability. In a recent systematic review of population based studies, the epidemiology of JIA is variable worl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::819c42f150ec25848a8333923abe99ab
https://pubmed.ncbi.nlm.nih.gov/28569338
https://pubmed.ncbi.nlm.nih.gov/28569338
Publikováno v:
2017 6th International Conference on Clean Electrical Power (ICCEP).
Rotor fault diagnosis techniques developed for induction machines (IMs) are classically based on current spectral analysis (CSA). For the case of rotor asymmetry in Wound-Rotor Induction Machine (WRIM), the magnitude of the negative sequence componen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e824773c8493bdaf0a83a4e9704b482
https://doi.org/10.1109/iccep.2017.8004776
https://doi.org/10.1109/iccep.2017.8004776
Autor:
Domenico Casadei, G.A. Capolino, F. Filippetti, Yasser Gritli, Alberto Bellini, Claudio Rossi
Condition monitoring of electric machines is a procedure of increasing importance, as fault tolerant systems are becoming mandatory in many applications. Early diagnosis of faults is a basic pillar in order to achieve full tolerance by the maintenanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::117e4c6ff35c15737094ada5f38277b5
http://hdl.handle.net/11585/619788
http://hdl.handle.net/11585/619788
Publikováno v:
IEEE Transactions on Industrial Electronics. 56:4548-4556
Motor current signature analysis is the reference method for the diagnosis of induction machines' rotor faults; however, in time-varying conditions, it fails as slip and speed vary, and, thus, sideband components are spread in a bandwidth that is pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c478b44d5b33f92922fea4bb29af7762
https://doi.org/10.1109/tie.2009.2016517
https://doi.org/10.1109/tie.2009.2016517
Akademický článek
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Autor:
Luca Zarri, F. Filippetti, Gerard-Andre Capolino, Domenico Casadei, Claudio Rossi, Yasser Gritli
Publikováno v:
IEEE Transactions on Industrial Electronics. 60:4012-4024
The aim of this paper is to present a diagnosis methodology for the detection of electrical faults in three-phase wound-rotor induction machines (WRIMs). In the considered application, the rotor windings are supplied by a static converter for the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74691794e9376e90ea866399bafc93bc
https://doi.org/10.1109/tie.2012.2236992
https://doi.org/10.1109/tie.2012.2236992
Autor:
Gerard-Andre Capolino, Yasser Gritli, Luca Zarri, Domenico Casadei, F. Filippetti, Claudio Rossi, Michele Mengoni
Design of modern wind farms, and more specifically for smart grids, must take into account two crucial aspects: efficient control strategies and reliable monitoring and diagnosis systems. Wind turbine generators based on Wound Rotor Induction Machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23cc447c2e3fab78095d4d443820f39f
http://hdl.handle.net/11585/396091
http://hdl.handle.net/11585/396091
This paper introduces a diagnostic technique for the detection of mixed Stator-Rotor electrical faults in Doubly Fed Induction Machine (DFIM) for wind power systems. Operating in aggressive environments, the detection of anomalies at an incipient sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8678837a2457c23cc4745b2bc5ea2dfd
http://hdl.handle.net/11585/572400
http://hdl.handle.net/11585/572400
Fault detection in induction machines is commonly realized through motor current signature analysis. In case of Wound-Rotor Induction Machine rotor faults, the amplitude of the inverse sequence harmonic component -sf of the rotor current space-vector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8317e751bdc923d54e80a391a574fd08
http://hdl.handle.net/11585/598721
http://hdl.handle.net/11585/598721