18 pubblicazioni sul tema AI e metodi data-driven, dal 2020 al 2026.
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Azionamenti e macchine elettricheControllo predittivo e avanzatoDiagnostica guasti e affidabilitàAccumulo di energia ed e-mobilityIntegrazione e stabilità di reteConvertitori multilevelAI e metodi data-drivenDC/DC isolati e data centerTrasporti, aerospazio e fusioneAltri temi
Articoli su rivista (9)
2026
A Novel Compact Hierarchical Deep Convolutional Neural Network Architecture for Faulty Switch Detection and Localization in Power Converters
Rokocakau, S., Kumar, R.R., Tresca, G., Mohammadzadeh, B., Cirrincione, G., Zanchetta, P., Frosini, L., Cirrincione, M.
IEEE Transactions on Industry Applications, 2026
A Novel Convolutional–Transformer Hybrid Neural Network Framework for Switch Fault Diagnosis in Power Converters
Rokocakau, S., Shamsazad, F., Tresca, G., Gemma, F., Mohammadzadeh, B., Cirrincione, G., Zanchetta, P., Cirrincione, M.
IEEE Transactions on Industry Applications, 2026
Online OCF Diagnosis for DTP-PMSM via Semi-Supervised Learning and Compression-based Deep Learning Network with OOD Detection
Yu, H., Zheng, B., Liu, B., Huang, Y., Yan, J., Xu, Y., Yu, G., Zanchetta, P., Chen, F.
IEEE Transactions on Transportation Electrification, 2026 · DOI
Azionamenti e macchine elettricheDiagnostica guasti e affidabilitàAI e metodi data-driven
2025
Interpretable Harmonic-Aware Dual-Branch Neural Network for Trustworthy Diagnosis of OCFs in DTP-PMSMs with Enhanced Disturbance Robustness
Zheng, B., Liu, B., Yan, J., Tang, M., Zanchetta, P., Yu, H., Gao, Y.
IEEE Transactions on Power Electronics, 2025
Azionamenti e macchine elettricheDiagnostica guasti e affidabilitàAI e metodi data-driven
2024
Fault Diagnosis Using Shallow Neural Networks for Voltage Source Inverters in Motor Drives
Samuela Rokocakau, Jacopo Riccio, Giulia Tresca, Rahul R. Kumar, Giansalvo Cirrincione, Pericle Zanchetta, Maurizio Cirrincione
IEEE Transactions on Industry Applications, 2024, Volume: 60, Issue: 5
Azionamenti e macchine elettricheDiagnostica guasti e affidabilitàAI e metodi data-driven
2023
Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview
Yuan Gao, Songda Wang, Tomislav Dragicevic, Patrick Wheeler, Pericle Zanchetta
IEEE Open Journal of Industry Applications, 2023, Volume: 4
An Adaptive Data-Driven Iterative Feedforward Tuning Approach Based on Fast Recursive Algorithm: With Application to a Linear Motor
Fu X., Yang X., Zanchetta P., Tang M., Liu Y., Chen Z.
IEEE Transactions on Industrial Informatics, Year 2023, Volume: 19, Issue: 4
2021
Frequency-Domain Data-Driven Adaptive Iterative Learning Control Approach: With Application to Wafer Stage
Fu X., Yang X., Zanchetta P., Liu Y., Ding C., Tang M., Chen Z.
IEEE Transactions on Industrial Electronics, Year 2021, Volume: 68, Issue: 10
Azionamenti e macchine elettricheControllo predittivo e avanzatoAI e metodi data-driven
2020
A Novel Repetitive Controller Assisted Phase-Locked Loop with Self-learning Disturbance Rejection Capability for Three-phase Grids
M. Tang, S. Bifaretti, S. Pipolo, S. Odhano, P. Zanchetta
; IEEE Journal of Emerging and Selected Topics in Power Electronics, Year 2020, Volume: 8, Issue: 2
Articoli a conferenza (9)
2025
An Optimized Rotational Position Encoding for 1-D Convolutional Transformer Hybrid Neural Network Fault Diagnosis on Power Converters
Rokocakau, S., Tresca, G., Shamsazad, F., Zanchetta, P., Cirrincione, G., Cirrincione, M.
Conference Record IAS Annual Meeting IEEE Industry Applications Society, 2025
A Data-Driven Fault Diagnostics Approach for Dual Active Bridge Converters
Shamsazad, F., Rokocakau, S., Volpini, A., Tresca, G., Zanchetta, P.
Conference Record IAS Annual Meeting IEEE Industry Applications Society, 2025
Azionamenti e macchine elettricheDiagnostica guasti e affidabilitàAI e metodi data-drivenDC/DC isolati e data center
A Novel Grid Impedance Estimation Method for Grid-Connected Inverter Systems Using LSTM Neural Networks
Cossu, S., Shamsazad, F., Rokocakau, S., Benfatto, O., Tresca, G., Anglani, N., Zanchetta, P.
2025 IEEE Energy Conversion Congress and Exposition (ECCE), 2025
Positional Embedding Comparison for Improved 1-D Convolutional Transformer Hybrid Neural Network Fault Diagnosis on Power Converters
Rokocakau, S., Shamsazad, F., Tresca, G., Zanchetta, P., Cirrincione, G., Cirrincione, M.
2025 IEEE Energy Conversion Congress and Exposition (ECCE), 2025
2024
A Novel use of 1-D Convolutional Transformer Neural Network Model in CHB Motor Drive Fault Diagnosis
Rokocakau, S., Tresca, G., Mohammadzadeh, B., Zanchetta, P., Cirrincione, G., Cirrincione, M.
2024 IEEE Energy Conversion Congress and Exposition Ecce 2024 Proceedings, 2024, pp. 3716–3722
Azionamenti e macchine elettricheDiagnostica guasti e affidabilitàConvertitori multilevelAI e metodi data-driven
Fault Diagnosis using 1-D Convolutional Transformer Hybrid Neural Network for Cascaded H-Bridge Converters
Rokocakau, S., Tresca, G., Mohammadzadeh, B., Zanchetta, P., Cirrincione, G., Cirrincione, M.
2024 IEEE Energy Conversion Congress and Exposition Ecce 2024 Proceedings, 2024, pp. 3729–3736
Diagnostica guasti e affidabilitàConvertitori multilevelAI e metodi data-driven
2023
Fault Detection in Cascaded H-Bridge Inverters using Spectrogram Analysis and Convolutional Neural Networks
Samuela Rokocakau, Giulia Tresca, Giansalvo Cirrincione, Pericle Zanchetta, Rahul Kumar, Maurizio Cirrincione, Lucia Frosini
2023 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2023 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)
Diagnostica guasti e affidabilitàConvertitori multilevelAI e metodi data-driven
2022
Fault Diagnosis using Shallow Neural Networks for Voltage Source Inverters in SynRM Drives
Riccio J., Kumar R.R., Cirrincione G., Zanchetta P., Cirrincione M.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Azionamenti e macchine elettricheDiagnostica guasti e affidabilitàAI e metodi data-driven
2021
Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors
Fu X., Ding C., Zanchetta P., Yang X., Tang M., Liu Y.
2021 13th International Symposium on Linear Drives for Industry Applications, LDIA 2021