Artificial Intelligence Tools Applied to the Machine Fault Diagnosis of the Rotor-Bearing System
type: CreativeWork
description: L'abstract è presente nell'allegato / the abstract is in the attachment
abstract: L'abstract è presente nell'allegato / the abstract is in the attachment
author: DI MAGGIO, LUIGI GIANPIO
language: eng
keywords: 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
date published: 2023-09-28
date modified: 2026-07-24T03:51:01Z
provider: Politecnico di Torino
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Politecnico di Torino

PropertyValue
property ID: Handle
value: https://hdl.handle.net/11583/2983207