Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis

It is crucial to carry out the fault diagnosis of rotating machinery by extracting the features that contain fault information. Many previous works using a deep convolutional neural network (CNN) have achieved excellent performance in finding fault information from feature extraction of detected sig...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Shock and vibration Ročník 2020; číslo 2020; s. 1 - 10
Hlavní autori:	Fu, Chao, Lin, Hsiung-Cheng, Lv, Qing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc Wiley
Predmet:	Adaptive algorithms Algorithms Artificial neural networks Classification Convolution Fast Fourier transformations Fault diagnosis Feature extraction Image retrieval Load fluctuation Multilayer perceptrons Neural networks Neurons Rotating machinery Support vector machines Vibration
ISSN:	1070-9622, 1875-9203
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!