معرفی
Chi-Ching Hsu is a researcher at ETH Zurich's High Voltage Engineering department under the Power Systems and High Voltage Lab. Their work focuses on condition monitoring of high-voltage electrical equipment using advanced sensing and machine learning techniques. Key areas include fault diagnostics for circuit breakers, predictive maintenance strategies, and development of edge-sensing platforms for grid infrastructure. Hsu has contributed to experimental studies using vibration and acoustic signals to assess equipment degradation, emphasizing unsupervised learning methods and explainability in AI-driven diagnostics.
- Education: Doctorate in D-ITET program at ETH Zurich
Research interests span electrical grid systems, fault detection methodologies, and the integration of IoT-based solutions for industrial equipment monitoring. Their work bridges mechanical, electrical, and data science disciplines to improve reliability of power transmission components.
Publications highlight innovative approaches to transform fault detection into proactive health management systems, with applications in both laboratory setups and real-world grid environments.
