About the project
The OPTIMETRICS project was created in response to the steadily increasing demand from the energy sector for in-depth diagnostics of rotating machines and the ability to model their behavior in both real and simulated conditions. In the era of modernizing energy sources and integrating renewable sources with the transmission network, synchronous machines play a key role as stabilizing elements of the power system. Maintaining them in optimal technical condition requires advanced analytical tools that enable both early defect detection and the prediction of their impact on the dynamic characteristics of the unit.
Measurement methodology
The project is based on an interdisciplinary approach that combines electrical engineering, dynamic systems analysis, high-resolution measurement methodology, and diagnostic data processing. In particular, the Frequency Response Analysis (FRA) method is used, allowing for a precise assessment of the internal impedance distribution of the machine as a function of frequency.
Diagnosis supported by iterative AI
Through comparative analysis with the reference profile, it is possible to detect, among other things, mechanical play, pole displacements, insulation degradation, and damage to grounding connections. In combination with models based on real data, it is also possible to scale and estimate the effects of defects over a longer operational perspective.
Scope of operation
OPTIMETRICS offers a full spectrum of diagnostic and analytical services for large synchronous units used in professional and industrial power engineering. The measurements performed include examinations of the condition of windings, poles, and the supporting structures of the rotor using broadband frequency response analysis. Diagnostics are conducted both at rest and under load – including under conditions of variable load profiles or changing network voltage parameters. Additionally, we conduct dynamic response modeling of the machine, which enables forecasting its behavior in scenarios of network instability.
Implementations
In the area of technical implementations, we offer support in the selection and tuning of control systems (Automatic Voltage Regulators, Power System Stabilizers) that comply with current standards and the requirements of transmission system operators. Based on empirical data, comparative documentation is created, containing a reference profile, anomaly characteristics, and operational conclusions.
The results of the analyses can be used both for ongoing technical support and as supplementary material in planning modernization, building digital twin models, or implementing predictive maintenance systems.
Team and experience
The OPTIMETRICS team consists of individuals with research and industrial experience in the field of electrical machines, power systems, and the design of implementation solutions. Dr. Asier Mugarra, affiliated with the Universidad Politécnica de Madrid, conducts research on the use of FRA for identifying local defects in synchronous machines, with a particular focus on pole windings and rotor segments.
His work includes both experimental modeling of machine responses and the validation of comparative methods. He is a co-author of a method for diagnosing high-power machines using fault diagrams and correlating electrical parameters with actual failure cases in industrial units.
At the same time, Eng. Simon Kadelski brings to the team many years of experience in the design, implementation, and supervision of industrial investments, including high-power electrical installations, power output systems, and switchgear structures for thermal and nuclear units.
His competencies include not only mechanical design (leading CAD and CAx environments) but also managing the execution phase and prototyping solutions in industrial environments. In previous projects, he supervised the implementation of several dozen installations in power plants across Europe, Asia, and the Middle East, being responsible for the technical consistency of solutions, compliance with documentation, and quality of execution.