Multi–Output Classification Based on Convolutional Neural Network Model for Untrained Compound Fault Diagnosis of Rotor Systems with Non–Contact Sensors

Multi–Output Classification Based on Convolutional Neural Network Model for Untrained Compound Fault Diagnosis of Rotor Systems with Non–Contact Sensors

Fault diagnosis is important in rotor systems because severe damage can occur during the operation of systems under harsh conditions. The advancements in machine learning and deep learning have led to enhanced performance of classification. Two important elements of fault diagnosis using machine lea...

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Bibliographic Details
Main Authors: Taehwan Son, Dongwoo Hong, Byeongil Kim
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
convolutional neural network
multi–output classification
non–contact sensors
rotor fault diagnosis
short–time Fourier transform
Online Access:https://www.mdpi.com/1424-8220/23/6/3153

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