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.

Dettagli Bibliografici
Autori principali:	Hasan, Moenul, Uddin, A.K.M. Faiyaz, Ghosh, Anoup
Altri autori:	Uddin, Jia
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Fault Detection Machine Learning Deep Learning Real-Time Fault Classification Wavelet Transformation 2D Image DCNN Keras Fault location (Engineering)
Accesso online:	http://hdl.handle.net/10361/14985

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