Lorenzo Mantione

@portale.unipv.it

Department of Electrical, Computer and Biomedical Engineering
Università degli Studi di Pavia

Lorenzo Mantione


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https://researchid.co/lmantione

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Industrial and Manufacturing Engineering
18

Scopus Publications

57

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Homopolar Rotor Slot Harmonics for Inter-Turn Fault Detection in Induction Motors
    Jorge Bonet-Jara, Lorenzo Mantione, Lucia Frosini, Konstantinos N. Gyftakis, Joan Pons-Llinares
    IEEE Transactions on Energy Conversion, 2026
    Stator faults detection under normal operation is one of the most important open problems in Induction Motors (IMs): they start as Inter-Turn Faults (ITFs) and rapidly evolve into catastrophic failures, being one of the major causes of shutdown. Hence, continuous monitoring is essential for early detection. Regarding this, line current analysis is preferred due to ease of equipment installation. In this paper, a new ITF indicator is proposed: amplitude of the homopolar Rotor Slot Harmonics (RSHs); those that form a homopolar system in a symmetrical machine. These harmonics are proven as always highly sensitive, opposite to previously used RSHs, which appear as sensitive or completely insensitive, depending on the motor analyzed. It is shown how ITF detection can be reliably solved using homopolar RSHs: they dramatically rise under early ITFs. To achieve generality, a theoretical analysis is conducted to deduce which are these RSHs as a function of the number of bars per pole pairs of the IM. Moreover, the proposed approach automatically selects and detects these harmonics, and ensures robustness against load, eccentricity and voltage unbalance variations. Efficacy of this approach is confirmed through finite element simulations of three IMs covering all cases and laboratory tests.
  • Condition Monitoring of Highway Tunnel Fans Motors: Case Studies Based on Experimental Data
    Marcello Minervini, Pedro Huertas-Leyva, Lorenzo Mantione, Lucia Frosini, Giulia Pellegrini, Novella Zangheri, Nicola Savini
    Electronics Switzerland, 2025
    Electric induction motors are fundamental to industry, where reliability and continuous operation are critical. Though robust, they are prone to faults, particularly in demanding environments such as highway tunnels. Non-invasive diagnostic techniques are widely used for condition monitoring, yet most studies occur under controlled laboratory conditions, limiting their applicability in real-world scenarios. This research investigates the feasibility of applying Motor Current Signature Analysis (MCSA) for monitoring highway tunnel axial fan motors, aiming to determine its effectiveness for real-time diagnostics in industrial environments. Measurements were performed under actual operating conditions, highlighting practical challenges. Data acquisition was implemented remotely from electrical cabins feeding tunnel services, reducing installation complexity and costs compared to in-tunnel measurements. This approach enabled monitoring of all motors in a tunnel using minimal hardware (a single acquisition system equipped with Rogowski sensors) making the solution cost-effective and suitable for periodic measurements. Frequency domain analysis focused on harmonics associated with rotor bar defects and eccentricity, selected for their slow degradation and diagnostic relevance. The magnitude of these harmonics was tracked over time and compared across motors of the same model. Since most of the time the ventilators are de-energized, the periodic measurements can be seen almost as a real-time monitoring, at least for the faults considered, with much lower costs. Results were validated against maintenance reports, confirming bearing faults with eccentricity in two motors, while suspected rotor porosity remained unverified, as expected at low severity. Findings demonstrate that MCSA can provide operational insights for fault detection in tunnel environments, supporting predictive maintenance strategies. A key outcome of this study was selecting and implementing an effective measurement setup for industrial applications, while preparing the base for future machine learning integration to estimate Remaining Useful Life.
  • A Non-Invasive Method for the Estimation of Inter-Turn Short-Circuit Currents in Induction Motors
    Jorge Bonet-Jara, Lorenzo Mantione, Lucia Frosini, Joan Pons-Llinares
    Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2025, 2025
    Inter-turn faults (ITF) progress to catastrophic failures faster than other common induction motor (IM) faults, which can lead to high downtime costs if replacement units are not available upon detection. However, ITFs do not progress identically fast in all motors, as the early-stage ITF currents are not equally severe. Therefore, considering this and that storing replacements for every unit is impractical and very costly, a tool that helps to determine which motors will require a replacement unit ready upon fault detection becomes essential for industry to mitigate downtime costs. This paper proposes a fast and noninvasive method to estimate the short-circuit current for any given load level, short-circuit position, contact resistance and low percentage of shorted-turns. The method is validated against finite element calculations and real measurements showing great accuracy. Moreover, it allows to easily calculate the short-circuit current maps, a tool that helps to analyze how severe the earlystage ITF short-circuit currents are in a given motor. Finally, it proposes a new indicator derived from these maps, that helps the end-user to assess the severity of these currents, and thus decide whether to have or not a replacement unit ready.
  • Look-Up Table Based Reduced Order Model of Synchronous Motors for Digital Twin Applications
    Gabriele De Boni, Lorenzo Mantione, Marcello Minervini, Lucia Frosini
    Proceedings of the IEEE Workshop on Electrical Machines Design Control and Diagnosis Wemdcd, 2025
    Electric motors can be represented as non-linear (NL), multiple input multiple output (MIMO), highly interconnected systems. Finite Element (FE) simulations are powerful tools to represent electric motors. However, the process can be time consuming. A Reduced Order Model (ROM) approach emerged as a possible alternative to describe the physical behavior of an electric motor. This paper presents a reduced order model for a Synchronous Reluctance motor, built from a general method for synchronous machines. Currents from simulations and measurement have been compared in time and frequency domains, to explore the possible application of such generated model in Digital Twin applications.
  • Induction Motor Low Frequency Torque Oscillation Diagnostics Through Circuit Breaker Acquisitions
    Marcello Minervini, Lorenzo Mantione, Lucia Frosini, Paolo Giangrande, Francesca Muzio
    Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2025, 2025
    Insights on the diagnostics of load oscillations in induction motors are presented in this work, where the torque anomalies are detected analyzing both current and voltage signals acquired through a smart circuit breaker meant for protection purposes. Featuring high sampling frequency and enough acquisition time, the spectra obtained from the protection device measurements is accurate enough to highlight the characteristic harmonics occurring in load condition. The Low Frequency Oscillation Torque (LFTO) anomaly is then investigated at different frequencies and shapes, and the resulting spectra are examined seeking for specific patterns. Considering the voltage spectrum, a characteristic pattern is identified when LFTOs take place. This finding proves the promising diagnostic capability of the circuit breakers' latest generation.
  • On the Shaft Voltage to Detect Faults in Wind Generators
    Lorenzo Mantione, Francesca Muzio, Gabriele De Boni, Marco Trombetta, Lucia Frosini
    2025 International Conference on Clean Electrical Power Iccep 2025, 2025
    The aim of this paper is to present the first insights coming from an experimental research focused on the investigation of the shaft voltage measurement and analysis as a diagnostic tool for wind generators. Since in wind farms the rotating electrical machine is usually a doubly-fed induction generator or a permanent magnet synchronous generator, it is connected to the grid through an electronic converter, which produces a common mode voltage and, consequently, a shaft voltage. In this paper, the correlation between these two signals will be shown in detail, through the analysis of experimental measurements in laboratory, which demonstrate the strong diagnostic content of the shaft voltage signal. The harmonic analysis of this signal, both at low and high frequencies, is proposed as a new index for the preventive maintenance in wind power generation.
  • Broken Rotor Bar Detection in Closed Loop Inverter Fed Induction Motors Through Time-Frequency Techniques
    Lorenzo Mantione, Tomas Garcia-Calva, Vanesa Fernandez-Cavero, Lucia Frosini, Daniel Moriñigo-Sotelo
    IEEE Transactions on Industry Applications, 2025
    In traction, automotive, and some industrial processes, the operation of the induction motor is set using speed. This creates an additional control loop that is external to the current controller that inverters already possess. While the impact of the latter control loop on fault detection in induction motors has already been studied, the influence of closed-loop speed control has not been explored enough. This paper presents the findings on the impact of PID speed control on the broken rotor bar fault detection. The study reveals that the constant corrective actions of the PID controller to correct the speed cause an increase in the noise level and spectral leakage around the first harmonic in the stator current spectrum that prevents fault detection. It is concluded that it is necessary to use time-frequency analysis techniques with excellent spectral resolution, such as the Dragon Transform or the Min-Norm technique.
  • Design and Implementation of a Test Bench for Regenerative Braking Evaluation on E-Bike Motor
    Marcello Minervini, Paolo Giangrande, Filippo Cortinovis, Lorenzo Mantione, Davide Previtali
    Proceedings of the IEEE Workshop on Electrical Machines Design Control and Diagnosis Wemdcd, 2025
    A test bench for evaluating e-bike motors with the purpose of assessing their regenerative capability is presented and implemented, while the main design choices are discussed. The test bench is specifically designed to emulate the driving cycle of a Light Electric Vehicle (LEV), and it includes peculiar characteristics, such as 1) an appropriate inertia in order to account for the LEV's inertia, and 2) an active load, which simulates the descent slopes along with the cyclist's torque. Prior to a brief addressing of the typical issues regarding regenerative braking in LEVs, the test bench's design process is explained, and the manufactured system is detailed. After the inherent test bench friction quantification, the developed testing system is employed to characterize a commercial e-bike electric drive, and its capability of recharging the battery pack by harvesting energy is also examined.
  • Fault Detection in Closed-Loop Controlled Electrical Motors: A Review
    Francesca Muzio, Lorenzo Mantione, Lucia Frosini, Daniel Morinigo-Sotelo, Marcello Minervini, Tomas A. Garcia-Calva
    Proceedings of the IEEE Workshop on Electrical Machines Design Control and Diagnosis Wemdcd, 2025
    The detection of faults in closed-loop controlled motors has become a critical area of research due to the increasing demand for precise speed regulation in industrial applications. Electrical motors are susceptible to various types of fault that can lead to reduced efficiency, increased maintenance costs, and potential system failures. Ensuring reliable fault detection in these systems is essential to maintain performance and minimize downtime. Although traditional diagnostic techniques, such as Motor Current Signature Analysis (MCSA), have proven effective in open-loop systems, their performance may deteriorate in closed-loop environments. Feedback mechanisms in closedloop control alter the spectral characteristics of motor signals, obscuring fault-related harmonics and making fault identification more challenging. The purpose of this article is to present a comprehensive review of diagnostic techniques for motors operating under closed-loop control.
  • Diagnostics Insights on Single and Three-Phase Induction Motors in Healthy and Single-Phasing Conditions
    M. Minervini, L. Mantione, L. Frosini, P. Giangrande, A. Meloni, R. De Tullio
    IEEE Transactions on Industry Applications, 2025
    In this work, an investigation on permanent-capacitor single-phase induction machine, healthy three-phase and three-phase induction machine in single phasing condition is presented. The study focuses on the analysis of one-phase current signal, radial and axial stray fluxes, and also torque signal for the single phasing condition. The steady state signals are initially analyzed in the time-domain and then sidebands around the supply harmonic are studied in the frequency-domain. Firstly, new insights are presented for the permanent-capacitor motor, very rarely treated in literature. Then, the presence of a significant harmonic in stray flux signals is highlighted or all machines and conditions. An investigation over a wide frequency range is also carried out proposing a new rule of thumb to locate a supply unbalanced condition looking at third and fifth harmonics. Two Low Frequency Torque Oscillation (LFTO) conditions are considered and evaluated. Finally, the derivative of the phase current is examined, and its interaction with the stray flux signals’ variations in shape and amplitude is evaluated for several conditions. Some correlations between these signals and the current derivative are found, providing interesting diagnostic insights.
  • Detection of Broken Bars in Induction Motors Operating with Closed-Loop Speed Control
    Francesca Muzio, Lorenzo Mantione, Tomas Garcia-Calva, Lucia Frosini, Daniel Morinigo-Sotelo
    Machines, 2024
  • Regenerative Braking Capabilities in E-Bike Vehicles: Comparison Between two Drive Architectures
    Marcello Minervini, Paolo Giangrande, Fabio Corti, Paolo Malighetti, Lorenzo Mantione
    2024 IEEE International Conference on Electrical Systems for Aircraft Railway Ship Propulsion and Road Vehicles and International Transportation Electrification Conference Esars Itec 2024, 2024
  • Stray Fluxes Amplitude and Phase Shift Monitoring for Interturn Short Circuits Detection in Induction Motors
    Marcello Minervini, Jorge Bonet-Jara, Vanesa Fernandez-Cavero, Lorenzo Mantione, Lucia Frosini
    2024 International Conference on Electrical Machines ICEM 2024, 2024
  • Superconducting AC Machines and Cryogenic Power Electronics for Reliable and Power-Dense Energy Conversion
    Abdallah Uosef, Lorenzo Mantione, Marco Bassani, Ines Peixoto, Lucia Frosini, Carlo Concari, Silvio Vaschetto
    2024 International Conference on Electrical Machines ICEM 2024, 2024
  • A Time-Frequency Analysis for Broken Rotor Bar Detection in Closed Loop Inverter Fed Induction Motor at Imposed Speed
    Lorenzo Mantione, Vanesa Fernandez-Cavero, Daniel Morinigo-Sotelo, Lucia Frosini
    Proceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2023, 2023
  • Insights on diagnostic signals in single-phase and three-phase induction motors in single-phasing fault
    Marcello Minervini, Lucia Frosini, Alberto Meloni, Riccardo De Tullio, Lorenzo Mantione
    Proceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2023, 2023
  • Evaluation of Different Magnet Materials and Skewed Geometries for IPMSM at High Speed
    Lorenzo Mantione, Lucia Frosini, Marcello Minervini
    2022 International Conference on Electrical Machines ICEM 2022, 2022
  • A Novel Investigation on Multi-Sensor Signal Signatures for Induction Motors Diagnostics
    Marcello Minervini, Lucia Frosini, Lorenzo Mantione
    2022 International Conference on Electrical Machines ICEM 2022, 2022

RECENT SCHOLAR PUBLICATIONS

  • Condition Monitoring of Highway Tunnel Fans Motors: Case Studies Based on Experimental Data
    M Minervini, P Huertas-Leyva, L Mantione, L Frosini, G Pellegrini, ...
    Electronics 14 (24), 4809 , 2025
    2025
    Citations: 1
  • Homopolar rotor slot harmonics for inter-turn fault detection in induction motors
    J Bonet-Jara, L Mantione, L Frosini, KN Gyftakis, J Pons-Llinares
    IEEE Transactions on Energy Conversion , 2025
    2025
    Citations: 1
  • A Non-Invasive Method for the Estimation of Inter-Turn Short-Circuit Currents in Induction Motors
    J Bonet-Jara, L Mantione, L Frosini, J Pons-Llinares
    2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics … , 2025
    2025
  • Induction Motor Low Frequency Torque Oscillation Diagnostics Through Circuit Breaker Acquisitions
    M Minervini, L Mantione, L Frosini, P Giangrande, F Muzio
    2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics … , 2025
    2025
    Citations: 1
  • On the Shaft Voltage to Detect Faults in Wind Generators
    L Mantione, F Muzio, G De Boni, M Trombetta, L Frosini
    2025 International Conference on Clean Electrical Power (ICCEP), 269-276 , 2025
    2025
    Citations: 1
  • Fault Detection in Closed-Loop Controlled Electrical Motors: A Review
    F Muzio, L Mantione, L Frosini, D Morinigo-Sotelo, M Minervini, ...
    2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis … , 2025
    2025
  • Look-up table based reduced order model of synchronous motors for digital twin applications
    G De Boni, L Mantione, M Minervini, L Frosini
    2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis … , 2025
    2025
    Citations: 3
  • Design and Implementation of a Test Bench for Regenerative Braking Evaluation on E-Bike Motor
    M Minervini, P Giangrande, F Cortinovis, L Mantione, D Previtali
    2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis … , 2025
    2025
  • Diagnostics insights on single and three-phase induction motors in healthy and single-phasing conditions
    M Minervini, L Mantione, L Frosini, P Giangrande, A Meloni, R De Tullio
    IEEE Transactions on Industry Applications , 2025
    2025
    Citations: 2
  • Regenerative Braking Capabilities in E-Bike Vehicles: Comparison Between two Drive Architectures
    M Minervini, P Giangrande, F Corti, P Malighetti, L Mantione
    2024 IEEE International Conference on Electrical Systems for Aircraft … , 2024
    2024
    Citations: 3
  • Broken rotor bar detection in closed loop inverter fed induction motors through time-frequency techniques
    L Mantione, T Garcia-Calva, V Fernandez-Cavero, L Frosini, ...
    IEEE Transactions on Industry Applications 61 (1), 209-217 , 2024
    2024
    Citations: 12
  • Detection of broken bars in induction motors operating with closed-loop speed control
    F Muzio, L Mantione, T Garcia-Calva, L Frosini, D Morinigo-Sotelo
    Machines 12 (9), 662 , 2024
    2024
    Citations: 9
  • Stray fluxes amplitude and phase shift monitoring for interturn short circuits detection in induction motors
    M Minervini, J Bonet-Jara, V Fernandez-Cavero, L Mantione, L Frosini
    2024 International Conference on Electrical Machines (ICEM), 1-7 , 2024
    2024
    Citations: 1
  • Superconducting AC machines and cryogenic power electronics for reliable and power-dense energy conversion
    A Uosef, L Mantione, M Bassani, I Peixoto, L Frosini, C Concari, ...
    2024 International Conference on Electrical Machines (ICEM), 1-8 , 2024
    2024
    Citations: 3
  • Design, Modeling and Diagnostics of Closed-Loop Inverter-Fed Electrical Machines
    L Mantione
    Università degli studi di Pavia , 2024
    2024
  • Insights on diagnostic signals in single-phase and three-phase induction motors in single-phasing fault
    M Minervini, L Frosini, A Meloni, R De Tullio, L Mantione
    2023 IEEE 14th International Symposium on Diagnostics for Electrical … , 2023
    2023
    Citations: 3
  • A time-frequency analysis for broken rotor bar detection in closed loop inverter fed induction motor at imposed speed
    L Mantione, V Fernandez-Cavero, D Morinigo-Sotelo, L Frosini
    2023 IEEE 14th International Symposium on Diagnostics for Electrical … , 2023
    2023
    Citations: 5
  • Geometrie rotoriche per motori sincroni a magneti permanenti
    L Mantione, L Frosini, M Minervini, T Emanuelli, G Pacinotti
    AEIT 110 (1/2), 50-57 , 2023
    2023
  • A novel investigation on multi-sensor signal signatures for induction motors diagnostics
    M Minervini, L Frosini, L Mantione
    2022 International Conference on Electrical Machines (ICEM), 677-683 , 2022
    2022
    Citations: 7
  • Evaluation of different magnet materials and skewed geometries for ipmsm at high speed
    L Mantione, L Frosini, M Minervini
    2022 International Conference on Electrical Machines (ICEM), 2297-2303 , 2022
    2022
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Broken rotor bar detection in closed loop inverter fed induction motors through time-frequency techniques
    L Mantione, T Garcia-Calva, V Fernandez-Cavero, L Frosini, ...
    IEEE Transactions on Industry Applications 61 (1), 209-217 , 2024
    2024
    Citations: 12
  • Detection of broken bars in induction motors operating with closed-loop speed control
    F Muzio, L Mantione, T Garcia-Calva, L Frosini, D Morinigo-Sotelo
    Machines 12 (9), 662 , 2024
    2024
    Citations: 9
  • A novel investigation on multi-sensor signal signatures for induction motors diagnostics
    M Minervini, L Frosini, L Mantione
    2022 International Conference on Electrical Machines (ICEM), 677-683 , 2022
    2022
    Citations: 7
  • A time-frequency analysis for broken rotor bar detection in closed loop inverter fed induction motor at imposed speed
    L Mantione, V Fernandez-Cavero, D Morinigo-Sotelo, L Frosini
    2023 IEEE 14th International Symposium on Diagnostics for Electrical … , 2023
    2023
    Citations: 5
  • Evaluation of different magnet materials and skewed geometries for ipmsm at high speed
    L Mantione, L Frosini, M Minervini
    2022 International Conference on Electrical Machines (ICEM), 2297-2303 , 2022
    2022
    Citations: 4
  • Look-up table based reduced order model of synchronous motors for digital twin applications
    G De Boni, L Mantione, M Minervini, L Frosini
    2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis … , 2025
    2025
    Citations: 3
  • Regenerative Braking Capabilities in E-Bike Vehicles: Comparison Between two Drive Architectures
    M Minervini, P Giangrande, F Corti, P Malighetti, L Mantione
    2024 IEEE International Conference on Electrical Systems for Aircraft … , 2024
    2024
    Citations: 3
  • Superconducting AC machines and cryogenic power electronics for reliable and power-dense energy conversion
    A Uosef, L Mantione, M Bassani, I Peixoto, L Frosini, C Concari, ...
    2024 International Conference on Electrical Machines (ICEM), 1-8 , 2024
    2024
    Citations: 3
  • Insights on diagnostic signals in single-phase and three-phase induction motors in single-phasing fault
    M Minervini, L Frosini, A Meloni, R De Tullio, L Mantione
    2023 IEEE 14th International Symposium on Diagnostics for Electrical … , 2023
    2023
    Citations: 3
  • Diagnostics insights on single and three-phase induction motors in healthy and single-phasing conditions
    M Minervini, L Mantione, L Frosini, P Giangrande, A Meloni, R De Tullio
    IEEE Transactions on Industry Applications , 2025
    2025
    Citations: 2
  • Condition Monitoring of Highway Tunnel Fans Motors: Case Studies Based on Experimental Data
    M Minervini, P Huertas-Leyva, L Mantione, L Frosini, G Pellegrini, ...
    Electronics 14 (24), 4809 , 2025
    2025
    Citations: 1
  • Homopolar rotor slot harmonics for inter-turn fault detection in induction motors
    J Bonet-Jara, L Mantione, L Frosini, KN Gyftakis, J Pons-Llinares
    IEEE Transactions on Energy Conversion , 2025
    2025
    Citations: 1
  • Induction Motor Low Frequency Torque Oscillation Diagnostics Through Circuit Breaker Acquisitions
    M Minervini, L Mantione, L Frosini, P Giangrande, F Muzio
    2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics … , 2025
    2025
    Citations: 1
  • On the Shaft Voltage to Detect Faults in Wind Generators
    L Mantione, F Muzio, G De Boni, M Trombetta, L Frosini
    2025 International Conference on Clean Electrical Power (ICCEP), 269-276 , 2025
    2025
    Citations: 1
  • Stray fluxes amplitude and phase shift monitoring for interturn short circuits detection in induction motors
    M Minervini, J Bonet-Jara, V Fernandez-Cavero, L Mantione, L Frosini
    2024 International Conference on Electrical Machines (ICEM), 1-7 , 2024
    2024
    Citations: 1
  • Progettazione di motori sincroni a riluttanza mirata al miglioramento del rendimento e del fattore di potenza
    L MANTIONE
    2019
    Citations: 1
  • A Non-Invasive Method for the Estimation of Inter-Turn Short-Circuit Currents in Induction Motors
    J Bonet-Jara, L Mantione, L Frosini, J Pons-Llinares
    2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics … , 2025
    2025
  • Fault Detection in Closed-Loop Controlled Electrical Motors: A Review
    F Muzio, L Mantione, L Frosini, D Morinigo-Sotelo, M Minervini, ...
    2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis … , 2025
    2025
  • Design and Implementation of a Test Bench for Regenerative Braking Evaluation on E-Bike Motor
    M Minervini, P Giangrande, F Cortinovis, L Mantione, D Previtali
    2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis … , 2025
    2025
  • Design, Modeling and Diagnostics of Closed-Loop Inverter-Fed Electrical Machines
    L Mantione
    Università degli studi di Pavia , 2024
    2024