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Multi-Modal Acoustic-Vibration Array Monitoring for Anomaly Detection and Source Localization in a Pumped-Storage Turbine

Jinyuan Zhang, Stefan Krummenacher, Zakaria Omarar, Arne Schacht, Bernhard Fässler, Bruno Rodrigues

International Seminar on Hydropower Plants (Viennahydro) (venue) · Vienna, Austria, 18-20 November 2026 · 2026 · to appear

Figure from Multi-Modal Acoustic-Vibration Array Monitoring for Anomaly Detection and Source Localization in a Pumped-Storage Turbine

Catching a developing fault inside a pumped-storage turbine, and knowing where it is, is hard when any single sensor sees only part of the machine. This work deploys a multi-modal array that fuses acoustic and vibration signals to both detect anomalies and localize their source in an operating pumped-storage turbine, a step toward practical, explainable condition monitoring for hydropower. To appear at the International Seminar on Hydropower Plants (Viennahydro) 2026.

Cite this paper (BibTeX)
@inproceedings{zhang2026-viennahydro-multimodal-array,
  author    = {Jinyuan Zhang and Stefan Krummenacher and Zakaria Omarar and Arne Schacht and Bernhard Fässler and Bruno Rodrigues},
  title     = {{Multi-Modal Acoustic-Vibration Array Monitoring for Anomaly Detection and Source Localization in a Pumped-Storage Turbine}},
  booktitle = {International Seminar on Hydropower Plants (Viennahydro)},
  year      = {2026},
  address   = {Vienna, Austria}
}