RADICIONI, LUCA

RADICIONI, LUCA  

DIPARTIMENTO DI MECCANICA  

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Titolo Data di pubblicazione Autori File
A comparison between regular and physics-informed neural networks based on a numerical multibody model: a test case for the synthesis of mechanisms 1-gen-2023 Bono, Francesco MorganRadicioni, LucaCinquemani, Simone
An approach based on convolutional autoencoder for detecting damage location in a mechanical system 1-gen-2023 Bono, Francesco MorganRadicioni, LucaSomaschini, ClaudioCinquemani, Simone +
An approach for fault detection based on multibody simulations and feature selection algorithm 1-gen-2022 Bono, Francesco MorganCinquemani, SimoneRadicioni, LucaConese, ChiaraTarabini, Marco
DESIGN AND APPLICATION OF A STATISTICAL LEARNING METHODOLOGY TO REMOVE TEMPERATURE EFFECT ON STATIC SIGNALS FOR BRIDGE STRUCTURAL HEALTH MONITORING 1-gen-2023 L. BenedettiF. M. BonoL. RadicioniM. Belloli
Development of soft sensors based on neural networks for detection of anomaly working condition in automated machinery 1-gen-2022 Bono, Francesco MorganRadicioni, LucaCinquemani, SimoneConese, ChiaraTarabini, Marco
Improving the effectiveness of anomaly detection in bridges through a deep learning method based on coherence of signals 1-gen-2023 Bono, Francesco MorganRadicioni, LucaBenedetti, LorenzoCazzulani, GabrieleCinquemani, SimoneBelloli, Marco +
Overcoming strain gauges limitation in the estimation of train load passing on a bridge through deep learning 1-gen-2023 Radicioni, LucaBono, Francesco MorganBenedetti, lorenzoArgentino, AntonioSomaschini, ClaudioCinquemani, SimoneBelloli, Marco
Structural Health Monitoring of a steel truss railway bridge studying its low frequency response 1-gen-2023 Radicioni, LucaBernardini, LorenzoBono, Francesco MorganAnghileri, MattiaCapacci, LucaCazzulani, GabrieleSomaschini, ClaudioPande, Aniket KetanBiondini, FabioCinquemani, SimoneBelloli, Marco