A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors

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

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Hasan, Moenul, Uddin, A.K.M. Faiyaz, Ghosh, Anoup
مؤلفون آخرون: Uddin, Jia
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
Fault Detection
Machine Learning
Deep Learning
Real-Time Fault Classification
Wavelet Transformation
2D Image
DCNN
Keras
Fault location (Engineering)
الوصول للمادة أونلاين:http://hdl.handle.net/10361/14985

الانترنت

http://hdl.handle.net/10361/14985

مواد مشابهة