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.

Бібліографічні деталі
Автори: Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
Інші автори: Uddin, Jia
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2021
Предмети:
Deep learning
Transfer learning
Fault detection
RNN
LSTM
Gammatone Filter Bank
Artificial intelligence
Cognitive learning theory
Онлайн доступ:http://hdl.handle.net/10361/15759

Інтернет

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

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