Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Luigi Pio Di Noia"'
Publikováno v:
IEEE Access, Vol 10, Pp 80106-80118 (2022)
The fault of current sensors in AC electric drives can cause inaccurate tracking of the control reference and torque oscillations, that can lead to damage of mechanical components. Therefore, the development of accurate detection techniques of these
Externí odkaz:
https://doaj.org/article/0263676fac9a4496bd2dfb6bae40c2bc
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9594 (2023)
The protection of structures and machines from ground vibrations is a deeply felt and widely studied problem. These vibrations are typically generated by the operation of machines, vehicular traffic, seismic events, shocks, explosions, etc., and are
Externí odkaz:
https://doaj.org/article/bd827a7607d8498581ac830a839a6f93
Publikováno v:
Energies, Vol 16, Iss 7, p 2963 (2023)
In electric vehicles, currents with high-frequency ripples flow in the power cabling system due to the switching operation of power converters. Inside the cables, a strong coupling between the thermal and electromagnetic phenomena exists, since the t
Externí odkaz:
https://doaj.org/article/2da1c00f6fcc4388a3ce1227e3c6aff6
Autor:
Davide D’Amato, Jelena Loncarski, Vito Giuseppe Monopoli, Francesco Cupertino, Luigi Pio Di Noia, Andrea Del Pizzo
Publikováno v:
Energies, Vol 15, Iss 4, p 1406 (2022)
The insulation system’s dielectric of the electric motor is very often subjected to severe electrical stress generated by the high dv/dt seen at the machine’s terminals. The electrical stress and high reflected wave transient overvoltage are even
Externí odkaz:
https://doaj.org/article/ca0b34d0cde14f1493c046254c6be7aa
Publikováno v:
Energies, Vol 15, Iss 3, p 816 (2022)
Ultra-fast charging infrastructures are gaining increasing interest thanks to their ability to reduce the charging-time of plug-in electric vehicles to values comparable to those of the refueling of traditional vehicles in gas stations. This is a con
Externí odkaz:
https://doaj.org/article/87dbd64f9fb549efb7badb3d5e413545
Publikováno v:
AIMS Energy, Vol 6, Iss 6, Pp 926-948 (2018)
Extreme Wind Speed modeling, i.e. the probabilistic characterization of extreme values of wind speed, is a key tool for properly understanding the destructive wind forces which may affect mechanical safety and reliability of wind power systems, but i
Externí odkaz:
https://doaj.org/article/ba94307799d242a8b95f68c23cea13f5
Autor:
Elio Chiodo, Luigi Pio Di Noia
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5643 (2020)
Inverse Rayleigh probability distribution is shown in this paper to constitute a valid model for characterization and estimation of extreme values of wind speed, thus constituting a useful tool of wind power production evaluation and mechanical safet
Externí odkaz:
https://doaj.org/article/9187b838ec6f4bfc9b1c2ed92920dce6
Publikováno v:
Energies, Vol 13, Iss 15, p 3975 (2020)
Nowadays, the reduction of aircraft emissions is one of the industrial targets with a horizon time until 2050. The recent progresses in electrical drives give the opportunity to modify the aircraft propulsion based on thermal engine or gas turbine to
Externí odkaz:
https://doaj.org/article/9bb59741c1e34143bee81040642b52f1
Publikováno v:
Energies, Vol 13, Iss 13, p 3420 (2020)
The paper firstly summarizes a simple analytical model of the air gap flux-density distribution for isotropic permanent magnet (PM) synchronous machines, in the presence of static eccentricity. The model was proposed by the authors in a previous pape
Externí odkaz:
https://doaj.org/article/8d6fa499745b46b0b94375664c46b99e
Autor:
Francesco Bonavolontà, Luigi Pio Di Noia, Davide Lauria, Annalisa Liccardo, Salvatore Tessitore
Publikováno v:
Energies, Vol 12, Iss 15, p 2935 (2019)
The paper deals with a novel method to measure inter-area oscillations, i.e., electromechanical oscillations involving groups of generators geographically distant from one another and ranging within the frequency interval from 0.1 Hz up to 1 Hz. The
Externí odkaz:
https://doaj.org/article/9054399ec5094a618685cf32bf1f7ac9