AI-Enhanced Acoustic Monitoring for Pumps and Transformer Components
Description
The project assesses the feasibility of acoustic monitoring as a predictive maintenance solution for pumps and transformers in NPPs. Using non-intrusive acoustic sensors combined with advanced signal processing and machine learning, it aims to detect early-stage faults earlier than conventional monitoring methods and support reliable, condition-based maintenance strategies.
Key data
Projectlead
Project partners
Axpo Power AG
Project status
ongoing, started 10/2025
Institute/Centre
Institute for Data Science (IDS)
Funding partner
Third party
Project budget
2 CHF