A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detaylı Bibliyografya
Asıl Yazarlar: Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
Diğer Yazarlar: Uddin, Jia
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2021
Konular:
Deep learning
Transfer learning
Fault detection
RNN
LSTM
Gammatone Filter Bank
Artificial intelligence
Cognitive learning theory
Online Erişim:http://hdl.handle.net/10361/15759

Internet

http://hdl.handle.net/10361/15759

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