Foto del docente

Matteo Barbieri

Research fellow

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Teaching tutor

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Publications

Barbieri, Matteo; Diversi, Roberto, Recursive identification of errors-in-variables models with correlated output noise, in: IFAC PapersOnLine, Elsevier, 2021, 54, pp. 363 - 368 (atti di: 19th IFAC Symposium on System Identification (SYSID 2021), Padova, Italy, tenuto in modalità online causa COVID, 13-16 July 2021) [Contribution to conference proceedings]

Barbieri, Matteo; Nguyen, Khan T. P.; Diversi, Roberto; Medjaher, Kamal; Tilli, Andrea, RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques, «JOURNAL OF INTELLIGENT MANUFACTURING», 2021, 32, pp. 1421 - 1440 [Scientific article]

Matteo Barbieri, Francesco Mambelli, Jacopo Lucchi, Roberto Diversi, Andrea Tilli, Sartini Matteo, Condition Monitoring of a Paper Feeding Mechanism Using Model-of-Signals as Machine Learning Features, in: Vol. 5 No. 1 (2020): Proceedings of the European Conference of the PHM Society 2020, 2020, pp. 1 - 10 (atti di: European Conference of the PHM Society 2020, Torino, Italia. Tenutasi virtuale causa COVID19, Luglio 27-31) [Contribution to conference proceedings]

Matteo Barbieri, Roberto Diversi, Andrea Tilli, Condition monitoring of electric-cam mechanisms based on Model-of-Signals of the drive current higher order differences, in: IFAC-PapersOnLine, Elsevier, 2020, 53, pp. 802 - 807 (atti di: 21th IFAC World Congress 2020, Berlino, Germania. Tenuto in virtuale causa COVID19, 11-17 July 2020) [Contribution to conference proceedings]

Barbieri, Matteo; Diversi, Roberto, Identification of noisy input-output FIR models with colored output noise, in: IFAC PapersOnLine, Elsevier, 2020, 53, pp. 901 - 906 (atti di: 21st IFAC World Congress, Berlin, Germany, tenuto in modalità online causa COVID, 11-17 July 2020) [Contribution to conference proceedings]

Matteo Barbieri, Francesco Mambelli, Roberto Diversi, Andrea Tilli, Matteo Sartini, Condition Monitoring by Model-of-Signals: Application to gearbox lubrication, in: Lecture Notes in Control and Information Sciences, Springer, 2019, pp. 1 - 6 (atti di: 15th European Workshop on Advanced Control and Diagnosis, Bologna, Novembre 21-22, 2019) [Contribution to conference proceedings]

Barbieri M.; DIversi R.; Tilli A., Condition monitoring of ball bearings using estimated ar models as logistic regression features, in: 2019 18th European Control Conference, ECC 2019, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 3904 - 3909 (atti di: 18th European Control Conference, ECC 2019, Napoli, Italy, 2019) [Contribution to conference proceedings]

Barbieri, Matteo; Bosso, Alessandro; Conficoni, Christian; Diversi, Roberto; Sartini, Matteo; Tilli, Andrea, An Onboard Model-of-signals Approach for Condition Monitoring in Automatic Machines, in: Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability, London (UK) / Hoboken (New Jersey - USA), ISTE WILEY, 2018, pp. 263 - 269 [Chapter or essay]

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