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.

Chi tiết về thư mục
Những tác giả chính: Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
Tác giả khác: Uddin, Jia
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2021
Những chủ đề:
Deep learning
Transfer learning
Fault detection
RNN
LSTM
Gammatone Filter Bank
Artificial intelligence
Cognitive learning theory
Truy cập trực tuyến:http://hdl.handle.net/10361/15759

Internet

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

Những quyển sách tương tự