Work

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

Year: 2019

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2019.07.033

Authors: Ziqian Kong, Baoping Tang, Lei Deng, Wenyi Liu, Yan Han

Institutions: Chongqing University, State Key Laboratory of Mechanical Transmission, Jiangsu Normal University

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

Funder: National Natural Science Foundation of China

Awards: G1669249036, G1758905137, G7807536231

OpenAlex ID: W2953885557

FWCI: 13.16

Cites: 40

Cited by: 259

Related to: 10