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.

Détails bibliographiques
Auteurs principaux: Hasan, Moenul, Uddin, A.K.M. Faiyaz, Ghosh, Anoup
Autres auteurs: Uddin, Jia
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Fault Detection
Machine Learning
Deep Learning
Real-Time Fault Classification
Wavelet Transformation
2D Image
DCNN
Keras
Fault location (Engineering)
Accès en ligne:http://hdl.handle.net/10361/14985

Internet

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

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