Electric machines

We specialize in the early detection and diagnostics of faults in electric motors, combining advanced scientific research with deep engineering practice in the field of electrical machines and drive systems.

Over years of development, we have created an innovative analytical framework for identifying and diagnosing internal motor faults such as:

Broken rotor bars in cage induction machines
Inter-turn short circuits in stator windings
Eccentricities caused by bearing degradation or rotor–stator misalignment
Other mechanical or electrical anomalies affecting motor performance

Our analytical techniques are applicable to a wide range of electric motors, regardless of type or rated power. Early detection allows preventive intervention and the avoidance of costly, unplanned production downtime. Through precise diagnostics, maintenance teams can significantly reduce both troubleshooting time and repair cycles, improving operational reliability and efficiency.

Advanced Modeling and Optimization

Beyond fault detection, our expertise extends to advanced modeling and optimization of Permanent Magnet Synchronous Machines (PMSM) across a wide range of rotational speeds and operating points.

This includes the development of detailed flux maps customized for Maximum Torque per Ampere (MTPA) control strategies, enabling superior performance and energy efficiency in drive applications.

We also provide high-precision quantification of local power loss distribution within the magnetic cores of large induction, synchronous, and PMSM machines. This analysis allows for deeper insight into thermal behavior and loss mechanisms, supporting design optimization and performance improvements.

Dynamic Simulation and System Reliability

Additionally, we offer accurate modeling of dynamic processes in synchronous generators, with computational optimization focused on fault condition analysis within power networks.
These advanced simulation capabilities contribute to a more reliable and resilient energy infrastructure.