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Politecnico di Torino
Artificial Intelligence Tools Applied to the Machine Fault Diagnosis of the Rotor-Bearing System
Abstract
dc:descriptionL'abstract è presente nell'allegato / the abstract is in the attachment
Degree
thesis:*- Grantor dc:publisher
- Politecnico di Torino
- Year dc:date
- 2023
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- DI MAGGIO, LUIGI GIANPIO
- Contributors dc:contributor
-
- DELPRETE, CRISTIANA
- BRUSA, EUGENIO
Subjects
dc:subject × 20- artificial intelligence
- machine learning
- deep learning
- convolutional neural network
- CNN
- generative adversarial network
- GAN
- cycleGAN
- transfer learning
- machine fault diagnosi
- intelligent fault diagnosi
- rolling bearing
- industrial bearing
- vibration monitoring
- wavelet
- rotating machinery
- condition monitoring
- structural mechatronic
- rotating machinery design
- Settore ING-IND/14 - Progettazione Meccanica e Costruzione di Macchine
Rights
dc:rights- Statement dc:rights
-
- info:eu-repo/semantics/openAccess
- license:Creative commons
- license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
- Language dc:language
- eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/11583/2983207
- OAI identifier oai:identifier
- oai:iris.polito.it:11583/2983207