Work

Anomaly detection in wind turbines using convolutional autoencoders on multichannel image encoding of SCADA data

Year: 2026

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

DOI: 10.1177/09576509261504090

Authors: Gianmarco Bianchi, Federico Roma, Tullio Carlo Maria Ancora, Valerio Francesco Barnabei

Institution: Sapienza University of Rome

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Ministero dell'Università e della Ricerca

OpenAlex ID: W7225422127

FWCI:

Cites: 29

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Related to: 10