Dottorato in Ingegneria Meccanica , 38o ciclo (2022-2025)
Dottorato concluso nel 2026
Tesi:
An Industrial PHM Framework Aimed at Condition-Based Maintenance and Fleet Management of Advanced Jet Trainers (Abstract)
Tutori:
Massimo Sorli Andrea De MartinProfilo
Argomento di ricerca
An Industrial PHM Framework Aimed at Condition-Based Maintenance and Fleet Management of Advanced Jet Trainers
Interessi di ricerca
Biografia
His industrial PhD project addressed a strategic challenge for the aviation sector: transforming large volumes of operational aircraft data into actionable PHM capabilities for safety-critical flight control actuators, starting from legacy platforms. Developed in partnership between Politecnico di Torino and Leonardo S.p.A., and co-funded under the Italian Piano Nazionale di Ripresa e Resilienza (PNRR) within the EU’s NextGenerationEU framework, the project aligned with national and European priorities in digital transformation, innovation, and safety-critical infrastructure.
During his doctoral studies, he contributed to the advancement of PHM methodologies for flight control actuation systems, combining reliability engineering, machine learning, probabilistic methods, and condition-based maintenance strategies to address real-world challenges in complex engineering systems. Alongside his academic research, Leonardo gained industrial experience through collaborations with leading aerospace companies, where he worked on predictive maintenance and data-driven decision support for aircraft systems.
Premi e riconoscimenti
- Vincitore del concorso "Giovane Talento dell'Innovazione Aeronautica", promosso dall’Associazione Pionieri dell’Aeronautica in occasione della ricorrenza del centenario dalla sua fondazione. (2023)
- Best Paper Award - 17th Annual Conference of the Prognostics and Health Management Society - October 27 – 30, 2025, Bellevue (USA) (2025)
Didattica
Insegnamenti
Corso di laurea magistrale
- Modellazione, simulazione e sperimentazione dei sistemi aerospaziali/Simulazione del volo (modulo di Modellazione, simulazione e sperimentazione dei sistemi aerospaziali). A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Baldo, Leonardo; García Bustos†, Jorge E.; Brito Schiele, Benjamin; Salas-Espiñeira, ... (2026)
Hybrid offline-online machine learning framework for real-time UAV battery voltage prediction. In: AEROSPACE SCIENCE AND TECHNOLOGY, vol. 177. ISSN 1270-9638
Contributo su Rivista - Baldo, Leonardo (2026)
An Industrial PHM Framework Aimed at Condition-Based Maintenance and Fleet Management of Advanced Jet Trainers. relatore: SORLI, Massimo; DE MARTIN, ANDREA; , 38. XXXVIII Ciclo, P.: 169
Doctoral Thesis - Espinoza, Kevin; Bustos, Jorge E. García; Baldo, Leonardo; Jaramillo-Montoya, Francisco; ... (2026)
A Two-Step Sub-Sampling Approach for a Computationally Efficient Particle Filter-Based Prognosis. In: IEEE TRANSACTIONS ON RELIABILITY, vol. 75, pp. 791-803. ISSN 0018-9529
Contributo su Rivista - Baldo, Leonardo; Dalla Vedova, Matteo Davide Lorenzo; Cejudo Ruiz, Jose Maria (2025)
Proposal for an enhanced monitoring technique for active control of aircraft flap asymmetry. In: The 14th EASN International Conference on “Innovation in Aviation & Space Towards Sustainability Today & Tomorrow”, Thessaloniki (GRC), 8–11 October 2024
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; De Martin, Andrea; Terner, Mathieu; Jacazio, Giovanni; Sorli, Massimo (2025)
Implementing PHM for Legacy Flight Control Actuators Through Operational Aircraft Data: Approach and Lessons Learned. In: RESULTS IN ENGINEERING, vol. 28, pp. 1-17. ISSN 2590-1230
Contributo su Rivista - Bustos, Jorge E. García; Schiele, Benjamín Brito; Baldo, Leonardo; Masserano, Bruno; ... (2025)
In situ estimation of li-ion battery state of health using on-board electrical measurements for electromobility applications. In: BATTERIES, vol. 11. ISSN 2313-0105
Contributo su Rivista - Lai, Chenyang; Baraldi, Piero; Aruna, Aruna; Baldo, Leonardo; Dalla Vedova, Matteo ... (2025)
Anomaly detection in power inverters of electromechanical actuators based on convolutional neural network and long short-term memory cells. In: 9th International Conference on System Reliability and Safety (ICSRS 2025), Turin (ITA), November 26-28, 2025, pp. 526-531. ISBN: 979-8-3315-4952-7
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; De Martin, Andrea; Terner, Mathieu; Jacazio, Giovanni; Orchard, Marcos ... (2025)
Mission profile clustering for usage-based health modeling of flight control actuators applied to a fleet of advanced jet trainers. In: 17th Annual Conference of the Prognostics and Health Management Society, Bellevue (USA), October 27 – 30, 2025
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; De Martin, Andrea; Jacazio, Giovanni; Sorli, Massimo (2025)
A Systematic Literature Review on PHM Strategies for (Hydraulic) Primary Flight Control Actuation Systems. In: ACTUATORS, vol. 14. ISSN 2076-0825
Contributo su Rivista - Lai, Chenyang; Baraldi, Piero; Quattrocchi, Gaetano; Dalla Vedova, Matteo Davide ... (2024)
Detection of Abnormal Conditions in Electro-Mechanical Actuators by Physics-Informed Long Short-term Memory Networks. In: 8th European Conference of the Prognostics and Health Management Society 2024, Praga (CZ), 3-5 luglio 2024, pp. 318-325. ISBN: 978-1-936263-40-0
Contributo in Atti di Convegno (Proceeding) - Baldo, L.; De Martin, A.; Terner, M.; Sorli, M. (2024)
The Journey Towards Condition-Based Maintenance: a Framework for the Horizontal Tail Actuator of an Advanced Jet Trainer Aircraft. In: 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024, Firenze (ITA), September 9-13 2024. ISSN 2958-4647
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; Battaglia, Francesco; Quattrocchi, Gaetano; Dalla Vedova, Matteo Davide ... (2024)
Fault detection and isolation for electro-mechanical actuators with metaheuristic algorithms: sparrow search, honey badger and dandelion optimizer. In: ESREL 2024, Cracow (POL), 23-27 June 2024, pp. 19-28. ISBN: 978-83-68136-08-1
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo (2024)
Development of a Data-driven Condition-Based Maintenance Methodology Framework for an Advanced Jet Trainer. In: 8th European Conference of the Prognostics and Health Management Society 2024, Prague (CZ), 3-5 July 2024, pp. 5-1015. ISBN: 978-1-936263-40-0
Contributo in Atti di Convegno (Proceeding) - Minisci, Edmondo; Dalla Vedova, Matteo; Alimhillaj, Parid; Baldo, Leonardo; Maggiore, ... (2024)
Machine Learning Based Prognostics of On-Board Electromechanical Actuators. In: Lecture Notes on Multidisciplinary Industrial Engineering / S.N., Berlino, Springer Nature, pp. 148-159. ISBN: 9783031489327
Contributo in Volume - Marceddu, A. C.; Quattrocchi, G.; Aimasso, A.; Giusto, E.; Baldo, L.; Vakili, M. G.; ... (2023)
Air-To-Ground Transmission and Near Real-Time Visualization of FBG Sensor Data Via Cloud Database. In: IEEE SENSORS JOURNAL, vol. 23, pp. 1613-1622. ISSN 1530-437X
Contributo su Rivista - Baldo, L.; Dalla Vedova, M. D. L.; Querques, I.; Maggiore, P. (2023)
Prognostics of aerospace electromechanical actuators: Comparison between model-based metaheuristic methods. In: 12th International Conference on Innovation in Aviation and Space for Opening New Horizons, EASN 2022, esp, 2022. ISSN 1742-6588
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; Giardino, Matteo; Floriani, Alessandro; Gajetti, Marco; Maggiore, Paolo (2023)
Development of a Bio-Mathematical Crew Fatigue Model for Business Aviation Operators. In: 33rd European Safety and Reliability Conference (ESREL 2023), Southampton (United Kingdom), 3-7 September, 2023, pp. 1200-1207. ISBN: 978-981-18-8071-1
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; De Martin, Andrea; Sorli, Massimo; Terner, Mathieu (2023)
Condition-based-maintenance for fleet management. In: 3rd Aerospace PhD-Days 2023, International Congress of PhD Students in Aerospace Science and Engineering, Bertinoro (ITA), 16-19 April, 2023, pp. 57-60. ISBN: 9781644902677
Contributo in Atti di Convegno (Proceeding) - Baldo, L.; Caredda, E.; Quattrocchi, G.; Dalla Vedova, M. D. L.; Maggiore, P. (2023)
Simplified Modeling of a Flapper-Nozzle Servo Valve for Electro-Hydraulic Actuators: Genetic Algorithms and Neural Networks. In: 2023 Prognostics and Health Management Conference - Paris, PHM-Paris 2023, Paris, France, 2023, pp. 207-212. ISBN: 979-8-3503-0014-7
Contributo in Atti di Convegno (Proceeding) - Baldo, Leonardo; Querques, Ivana; DALLA VEDOVA, MATTEO DAVIDE LORENZO; Maggiore, Paolo (2023)
A Model-Based Prognostic Framework for Electromechanical Actuators Based on Metaheuristic Algorithms. In: AEROSPACE, vol. 10. ISSN 2226-4310
Contributo su Rivista