A Novel End-To-End Feature Selection and Diagnosis Method for Rotating Machinery

A Novel End-To-End Feature Selection and Diagnosis Method for Rotating Machinery

Feature selection is to obtain effective features from data, also known as feature engineering. Traditional feature selection and predictive model learning are separated, and there is a problem of inconsistency of criteria. This paper presents an end-to-end feature selection and diagnosis method tha...

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Bibliographic Details
Main Authors:	Gang Wang, Yang Zhao, Jiasi Zhang, Yongjie Ning
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Sensors
Subjects:	MIVs WBDA feature selection rotating machinery noise diagnosis
Online Access:	https://www.mdpi.com/1424-8220/21/6/2056

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