| KEYWORD |
Area Ingegneria
Diagnostics via edge AI data fusion
Tesi esterna in azienda
Parole chiave IMAGE ANALYSIS, MACHINE LEARNING
Riferimenti LUCIANO LAVAGNO
Riferimenti esterni Marcello Babbi, Reply Torino
Gruppi di ricerca Microelectronics
Tipo tesi APPLIED RESEARCH
Descrizione The goal of the thesis is to perform multi-signal anomaly detection for electric motor vibration faults
Thesis activities:
- state of the art literature review
- model development
- performance optimization
- two-stage classification machine learning model
Conoscenze richieste Python programming, some knowledge of Machine Learning
Useful knowledge: C/C++, Tensorflow, Pytorch, embedded programming, edge device optimization, ONNX runtime
Scadenza validita proposta 27/09/2025
PROPONI LA TUA CANDIDATURA