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of 3
pro vyhledávání: '"Rahul Ranjeev Kumar"'
Autor:
Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul Ranjeev Kumar
Publikováno v:
IEEE Access, Vol 12, Pp 111411-111421 (2024)
Gears are widely recognized as crucial components for power connections and transmission owing to their substantial loading capacity, transmission efficiency, and consistent power output. Given their complexity, they are prone to faults and require c
Externí odkaz:
https://doaj.org/article/a3bc2c09bdbd4e79b291c8d7a5a9da88
Publikováno v:
Information, Vol 15, Iss 5, p 259 (2024)
This study introduces a novel approach for fault classification in bearing components utilizing raw accelerometer data. By employing various neural network models, including deep learning architectures, we bypass the traditional preprocessing and fea
Externí odkaz:
https://doaj.org/article/bec1a2b9a947497ea071253a4fc27bc3
Autor:
Shyamal Shivneel Chand, Rahul Ranjeev Kumar, Ravneel Prasad, Maurizio Cirrincione, Krish Kumar Raj
Publikováno v:
2022 25th International Conference on Electrical Machines and Systems (ICEMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::251b5b2f5e92131668515fa04daace21
https://doi.org/10.1109/icems56177.2022.9983112
https://doi.org/10.1109/icems56177.2022.9983112