Work

Anomaly detection and fault analysis of wind turbine components based on deep learning network

Year: 2018

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2018.05.024

Authors: Hongshan Zhao, Huihai Liu, Wenjing Hu, Xihui Yan

Institutions: North China Electric Power University, State Grid Corporation of China (China), State Grid Hebei Electric Power Company

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

OpenAlex ID: W2801050875

FWCI: 15.19

Cites: 33

Cited by: 311

Related to: 10