DIVERSI, ROBERTO
DIVERSI, ROBERTO
DEI - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Docenti di ruolo di IIa fascia
An Autoregressive-Based Motor Current Signature Analysis Approach for Fault Diagnosis of Electric Motor-Driven Mechanisms
2025 Diversi, Roberto; Lenzi, Alice; Speciale, Nicolo; Barbieri, Matteo
External-Wrench Estimation for Aerial Robots Exploiting a Learned Model
2025 Alharbat, A.; Ruscelli, G.; Diversi, R.; Mersha, A.
Interpersonal Coordination Through Granger Causality Applied to AR Processes Modeling the Time Evolution of Low-Frequency Powers of RR Intervals
2025 Bouny, Pierre; Grivel, Eric; Diversi, Roberto; Deschodt Arsac, Veronique
A Multidimensional Health Indicator Based on Autoregressive Power Spectral Density for Machine Condition Monitoring
2024 Diversi R.; Speciale N.
Combining Wavelets and AR Identification for Condition Monitoring of Electric-cam Mechanisms Using PLCopen Readings of Motor Torque
2024 Diversi R.; Speciale N.; Barbieri M.
Development of a Patient Behaviour Model for an Adaptive Medical Robot
2024 Soavi G.; Knopp T.; Borner H.; Hirt F.; Hildenbrand X.; Konig A.; Diversi R.; Peyrl H.
Diagnostics on Power Electronics Converters by Means of Autoregressive Modelling
2024 Diversi R.; Sandrolini L.; Simonazzi M.; Speciale N.; Mariscotti A.
RECURSIVE IDENTIFICATION OF NOISY AUTOREGRESSIVE MODELS VIA A NOISE-COMPENSATED OVERDETERMINED INSTRUMENTAL VARIABLE METHOD
2024 Barbieri, M.; Diversi, R.
Kullback-Leibler and Rényi divergence rate for Gaussian stationary ARMA processes comparison
2021 Grivel, Eric; Diversi, Roberto; Merchan, Fernando
Recursive identification of errors-in-variables models with correlated output noise
2021 Barbieri, Matteo; Diversi, Roberto
RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques
2021 Barbieri, Matteo; Nguyen, Khan T. P.; Diversi, Roberto; Medjaher, Kamal; Tilli, Andrea
Condition Monitoring of a Paper Feeding Mechanism Using Model-of-Signals as Machine Learning Features
2020 Matteo Barbieri, Francesco Mambelli, Jacopo Lucchi, Roberto Diversi, Andrea Tilli, Sartini Matteo
Condition monitoring of electric-cam mechanisms based on Model-of-Signals of the drive current higher order differences
2020 Matteo Barbieri, Roberto Diversi, Andrea Tilli
Identification of noisy input-output FIR models with colored output noise
2020 Barbieri, Matteo; Diversi, Roberto
Robust identification of thermal models for in-production High-Performance-Computing clusters with machine learning-based data selection
2020 Pittino F.; Diversi R.; Benini L.; Bartolini A.
Thermal Model Identification of Computing Nodes in High-Performance Computing Systems
2020 Diversi R.; Bartolini A.; Benini L.
Condition Monitoring by Model-of-Signals: Application to gearbox lubrication
2019 Matteo Barbieri, Francesco Mambelli, Roberto Diversi, Andrea Tilli, Matteo Sartini
Condition monitoring of ball bearings using estimated ar models as logistic regression features
2019 Barbieri, M.; Diversi, R.; Tilli, A.
Errors-in-Variables Identification of Composite Noncausal-FIR/IIR Models with Application to Transmissibility Identification
2019 Aljanaideh K.F.; Diversi R.
An Onboard Model-of-signals Approach for Condition Monitoring in Automatic Machines
2018 Barbieri, Matteo; Bosso, Alessandro; Conficoni, Christian; Diversi, Roberto; Sartini, Matteo; Tilli, Andrea