Work

Data-driven Fault Forecasting and Anomaly Detection in Hydropower Plants

Year: 2025

Type: dissertation

Source: Electronic Theses and Dissertations Repository (University of Pisa)

Author: HAJIMOHAMMADALI, FATEMEH

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W6990245348

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