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.

Bibliographische Detailangaben
Hauptverfasser:	Hasan, Moenul, Uddin, A.K.M. Faiyaz, Ghosh, Anoup
Weitere Verfasser:	Uddin, Jia
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2021
Schlagworte:	Fault Detection Machine Learning Deep Learning Real-Time Fault Classification Wavelet Transformation 2D Image DCNN Keras Fault location (Engineering)
Online Zugang:	http://hdl.handle.net/10361/14985

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