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pro vyhledávání: '"Rahul R Kumar"'
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:
Energies, Vol 16, Iss 10, p 4160 (2023)
This paper presents an estimation of the parameters for a Double Layer Super Capacitor (DLC) that is modelled with a two-branch circuit. The estimation is achieved using a constrained minimization technique, which is developed off-line and uses a sin
Externí odkaz:
https://doaj.org/article/0beb036269b34ceca79cd2d08b34bd5b
Autor:
Rahul R. Kumar, Mauro Andriollo, Giansalvo Cirrincione, Maurizio Cirrincione, Andrea Tortella
Publikováno v:
Energies, Vol 15, Iss 23, p 8938 (2022)
This review paper looks briefly at conventional approaches and examines the intelligent means for fault diagnosis (FD) and condition monitoring (CM) of electrical drives in detail, especially the ones that are common in Industry 4.0. After giving an
Externí odkaz:
https://doaj.org/article/dc21ebacb9674c93b643df8415cc9918
Publikováno v:
IEEE Transactions on Energy Conversion. 36:1070-1080
This article presents a two-stage fault detection and classification scheme specifically designed for rotating electrical machines. The approach involves the use of new condition indicators that are specific to the frequency domain. The paper propose
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-
Autor:
Rahul R Kumar, Maurizio Cirrincione, Ali Mohammadi, Giansalvo Cirrincione, Krishnil R. Ram, Damien Guilbert, Shanal S Kumar
Publikováno v:
2021 IEEE Energy Conversion Congress and Exposition (ECCE)
2021 IEEE Energy Conversion Congress and Exposition (ECCE), Oct 2021, Vancouver, France. pp.483-488, ⟨10.1109/ECCE47101.2021.9595018⟩
2021 IEEE Energy Conversion Congress and Exposition (ECCE), Oct 2021, Vancouver, France. pp.483-488, ⟨10.1109/ECCE47101.2021.9595018⟩
Hydrogen energy conversion using Fuel Cells is very promising for standalone power as well as transportation applications. Hydrogen gas production using renewable energy sources is possible through the use of electrolyzers in which DC-DC converters p
Publikováno v:
2021 IEEE Energy Conversion Congress and Exposition (ECCE).
Fault detection in electrical drives can be really challenging, especially when the input data is collected from an operational electrical machine. In order to prevent machine damages and downtimes, it is really important to detect pre-fault conditio
Autor:
Komal Chand, Mansour H. Assaf, Voicu Groza, Satyendra N. Biswas, Rahul R Kumar, Emil M. Petriu, Kavilash Chand, Sunil R. Das, Bibhya N. Sharma
Publikováno v:
I2MTC
There has been dramatic increase in the number of people with physical disabilities in recent years. Many people with disabilities have substantial difficulties even moving their hands and legs. The disability has thus become a real challenge since m
Publikováno v:
2020 AEIT International Annual Conference (AEIT).
This paper presents a new condition indicator for classifying of stator and rotor related faults in induction motors. It relies on the characteristic fault frequencies of the motor in question and can be extended to different types of motors with dif