Contact: Cristaldi Loredana
Mail: loredana.cristaldi@polimi.it
Application field
– Study of algorithms based on the “electrical signature” analysis for monitoring, and diagnostics of industrial systems;
– Detecting failures of small inverter-fed motors;
– Characterization of laser sensors;
– Monitoring of power transformer bushing;
– Switching devices;
– Photovoltaic systems.
Technology
– Measurement advanced instrumentation;
– Virtual instrumentation;
– Sensors and virtual sensors networks.
Activity
– Study of internet-based interconnection of measurement system components (Digital Twin solutions);
– Battery characterization;
– PV system characterization;
– Virtual instruments, and measurement methods for monitoring and fault diagnosis;
– Study of distributed measurement systems for diagnostic, monitoring, and remote control of complex systems;
– Measurements of electric quantities under nonsinusoidal conditions.
Keywords
Monitoring; Diagnostic; Fault detection; Virtual instruments; Distributed measurement systems.
Operation of the proposed solution
The common denominator of the activities of the research Group has been the analysis, development and characterization of new methods and devices for measurement-oriented signal processing, with particular attention to the development of digital signal processing methods.
In particular, measurement methods have been studied for the characterization and diagnostics of electric power systems and components with a particular attention to PV systems and to the development of innovative sensors for high voltage and current, featuring a wide bandwidth.
The study and development of sensors for the analysis and characterization of components based on conductive, insulating, and magnetic materials represents one of the field of interest for the research group.
The applications of the proposed solutions are related to:
• SoH Estimation of Lithium-Ion Batteries
• photovoltaic systems
• detecting failures of small inverter-fed motors
• monitoring of power transformer bushing
• switching devices
• Characterization of laser sensors
Challenges
Managing the trade-off among accuracy and complexity of measurements obtained by real-time process and AI applications.
Bibliography
Cristaldi, L., Faifer, M., Laurano, C., Ottoboni, R., Petkovski, E., & Toscani, S. (2023). Power Generation Control Algorithm for the Participation of Photovoltaic Panels in Network Stability. IEEE Transactions on Instrumentation and Measurement, 72, 1-9.
Marri, I., Petkovski, E., Cristaldi, L., & Faifer, M. (2023). Comparing Machine Learning Strategies for SoH Estimation of Lithium-Ion Batteries Using a Feature-Based Approach. Energies, 16(11), 4423.
Video