Master Thesis : "Enhancing Water Diffusion Modeling and Moisture Criteria for Energized Transfo[...]

Hitachi Rail; Düsseldorf; Hybrid; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

A leading engineering company in Düsseldorf is seeking a Master's student for an R&D opportunity focusing on modeling moisture dynamics in transformer insulation. The role involves developing models and diagnostic criteria to analyze the impact of moisture on voltage behavior. Ideal candidates should be proficient in MATLAB, Python, and have a strong background in electrical engineering. This position offers supervision by experienced professionals and the chance to contribute to innovative projects.

Leistungen

Supervision by experienced professionals

Access to internal models and data

Opportunity for follow-up roles

Qualifikationen

• Master’s student in relevant field.
• Strong foundation in modeling and simulation.
• Knowledge of dielectric materials.

Aufgaben

• Extend the water diffusion model for moisture dynamics.
• Develop criteria for evaluating water content in insulation.
• Investigate the voltage response under transient conditions.
• Validate model through simulations and BDV tests.

Kenntnisse

Modeling and simulation

Knowledge of dielectric materials

Analytical skills

Fluent in English

Ausbildung

Master’s student in Electrical Engineering or related fields

Tools

MATLAB

Python

COMSOL

Jobbeschreibung

Overview

Description

The opportunity

Understanding the moisture dynamics in transformer insulation is critical for predicting aging, dielectric failure, and overall reliability. While recent models like the Thermo-Chemical Digital Twin offer advanced simulation capabilities, one of the main opportunities for improvement lies in the modeling non-uniform water distribution and its impact on voltage behavior under transient conditions. Additionally, no established criterion exists for evaluating water content in paper insulation under energized conditions.

Your responsibilities

• Model Development: Extend the water diffusion model to include spatially resolved moisture dynamics and additional influencing factors such as temperature gradients and oil aging
• Diagnostic Criteria: Develop a practical criterion for evaluating water content in paper insulation under energized conditions
• Voltage Behavior Analysis: Investigate how increased and non-uniform moisture distribution affects voltage response under impulse and switching conditions
• Validation: Validate model improvements through simulations and comparison with Breakdown Voltage (BDV) tests using special wave shapes

Your background

• Master’s student in Electrical Engineering, Power Systems, Applied Physics, or related fields
• Strong foundation in modeling and simulation (e.g., MATLAB, Python, COMSOL)
• Knowledge of dielectric materials and transformer insulation systems
• Analytical and independent working style
• Fluent in English; German is a plus

What we offer

• Supervision by experienced R&D professionals
• Access to internal models, data, and simulation tools
• Opportunity to contribute to cutting-edge transformer diagnostics
• Potential for follow-up opportunities in research or engineering roles
• switching conditions

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