FAULT DETECTION AND CATEGORIZATION USING AN ADVANCED MACHINE LEARNING TECHNIQUE FOR INDUSTRIAL ROTATIONAL MACHINERY

The difficulty of fault identification as well as categorization in industrial rotating machinery is fixed by this study, which introduces a revolutionary Dandelion Optimized CatBoost (DO-CB) technique. The suggested framework makes use of the CB algorithm, which is enhanced by the DO method. The fi...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Divya Paikaray, Naveen Kumar Rajendran, Vaishali Singh Maharishi, Pulkit Srivastava
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	University of Kragujevac 2024-03-01
Rangatū:	Proceedings on Engineering Sciences
Ngā marau:	industrial rotating machinery fault identification categorization industrial rotation dandelion optimized catboost (do-cb)
Urunga tuihono:	https://pesjournal.net/journal/v6-n1/28.pdf
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!