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.

Xehetasun bibliografikoak
Egile Nagusiak: Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
Beste egile batzuk: Uddin, Jia
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2021
Gaiak:
Deep learning
Transfer learning
Fault detection
RNN
LSTM
Gammatone Filter Bank
Artificial intelligence
Cognitive learning theory
Sarrera elektronikoa:http://hdl.handle.net/10361/15759

Internet

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

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