AdaBoost Ensemble Approach with Weak Classifiers for Gear Fault Diagnosis and Prognosis in DC Motors

This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine’s current operational state by analyzing time–frequency features extracted from motor...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Syed Safdar Hussain, Syed Sajjad Haider Zaidi
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2024-04-01
Цуврал:	Applied Sciences
Нөхцлүүд:	DC motor diagnosing AdaBoost weak classifiers fault severity conditions remaining useful life
Онлайн хандалт:	https://www.mdpi.com/2076-3417/14/7/3105
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!