Measurement Systems for
Industrial Diagnostics & Energy

Signal processing, virtual instrumentation and distributed sensors for power systems, PV and battery characterization

Industry Energy

Advanced measurement instrumentation for industrial diagnostics — Politecnico di Milano DEIB

Research overview

Application field	Electrical signature analysis for monitoring and diagnostics of industrial systems Failure detection of small inverter-fed motors Characterization of laser sensors Monitoring of power transformer bushing Switching devices Photovoltaic systems
Technology	Advanced measurement instrumentation Virtual instrumentation Sensor and virtual sensor networks
Activity	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 Distributed measurement systems for diagnostic, monitoring and remote control of complex systems Measurements of electric quantities under non-sinusoidal conditions

Keywords

Monitoring Diagnostics Fault Detection Virtual Instruments Distributed Measurement Systems

Operation of the proposed solution

The common denominator of the group’s activities is the analysis, development and characterization of new methods and devices for measurement-oriented signal processing, with particular attention to digital signal processing techniques.

Measurement methods have been developed for the characterization and diagnostics of electric power systems and components, with special focus on PV systems and on innovative sensors for high voltage and current featuring wide bandwidth. The study and development of sensors for the analysis and characterization of components based on conductive, insulating and magnetic materials is a further core area of interest.

Current applications of the proposed solutions include:

State-of-Health (SoH) estimation of Lithium-Ion Batteries
Photovoltaic system characterization and control
Failure detection in small inverter-fed motors
Monitoring of power transformer bushing
Switching device characterization
Laser sensor characterization

Open challenges

Managing the trade-off between accuracy and complexity in measurements obtained by real-time processing and AI-based applications.

Selected bibliography

Cristaldi L., Faifer M., Laurano C., Ottoboni R., Petkovski E., & Toscani S. “Power Generation Control Algorithm for the Participation of Photovoltaic Panels in Network Stability.” IEEE Transactions on Instrumentation and Measurement, 72, 1–9 2023

Marri I., Petkovski E., Cristaldi L., & Faifer M. “Comparing Machine Learning Strategies for SoH Estimation of Lithium-Ion Batteries Using a Feature-Based Approach.” Energies, 16(11), 4423 2023

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