Work

Reliable anomaly intelligent detection for electromechanical system of wind turbines based on probabilistic physics-informed autoencoders

Year: 2025

Type: conference-paper

Source: IET conference proceedings.

DOI: 10.1049/icp.2025.3829

Authors: Hao Duan, Kaicheng Zhao, Chun Li, Wanfu Zhang, Zifei Xu

Institutions: University of Shanghai for Science and Technology, University of Liverpool

Language: English

Topic: Machine Fault Diagnosis Techniques

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: W4417455565

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