ETD

Digital archive of theses discussed at the University of Pisa

 

Tesi etd-09082020-120744


Thesis type
Tesi di laurea magistrale
Author
POCHIERO, AMEDEO
URN
etd-09082020-120744
Thesis title
An interpretable multi channel feature learner based on deep autoencoder for predictive maintenance
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
COMPUTER ENGINEERING
Supervisors
relatore Prof. Cimino, Mario Giovanni Cosimo Antonio
relatore Prof.ssa Vaglini, Gigliola
tutor Ing. Mazzuca, Stefano
correlatore Dott. Alfeo, Antonio Luca
Keywords
  • predictive maintenance
  • deep learning
  • autoencoder
Graduation session start date
25/09/2020;
Consultabilità
Parziale
Release date
25/09/2090
Summary
File