Work

Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach

Year: 2024

Type: conference-paper

Source: IEEE International Conference of Young Professionals in Electron Devices and Materials (EDM)

DOI: 10.1109/edm61683.2024.10615179

Authors: Galina Demidova, Daniil Privalov, Denis Semenov, Dmitry Lukichev, Zhitao Liu, Alecksey Anuchin

Institutions: ITMO University, Zhejiang University, Moscow Power Engineering Institute

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4401337533

FWCI: 0.722

Cites: 20

Cited by: 1

Related to: 10