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.

Détails bibliographiques
Auteurs principaux: Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
Autres auteurs: Uddin, Jia
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Deep learning
Transfer learning
Fault detection
RNN
LSTM
Gammatone Filter Bank
Artificial intelligence
Cognitive learning theory
Accès en ligne:http://hdl.handle.net/10361/15759

Internet

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

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