A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

Kai Zhang; Baoping Tang; Lei Deng; Xiaoli Liu

doi:10.1016/j.measurement.2021.109491

ScienceGate Book Chapters

JOURNAL ARTICLE

A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

Kai Zhang Baoping Tang Lei Deng Xiaoli Liu

Year: 2021 Journal: Measurement Vol: 179 Pages: 109491-109491 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2021.109491

Get Full-Text PDF Get Analytical Report

Keywords:

Feature extraction Fault (geology) Drivetrain Wavelet Turbine Computer science Residual Pattern recognition (psychology) Transformation (genetics) Time–frequency analysis Wavelet packet decomposition Fault detection and isolation Frequency band Artificial intelligence Feature (linguistics) Convolution (computer science) Engineering Wavelet transform Algorithm Artificial neural network Radar Telecommunications Torque Actuator

Metrics

189

Cited By

18.33

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Mechanical Failure Analysis and Simulation

Physical Sciences → Engineering → Mechanical Engineering

A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

Metrics

Citation History

Topics

Related Documents

A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels

Gearbox Fault Diagnosis of Wind Turbines Based on Attention and Multi-scale CNN

Research on Gearbox Fault Diagnosis Based on Improved ResNet Network

Wind Turbine Gearbox Fault Diagnosis Based on Improved HHT

Fault diagnosis method of wind turbine planetary gearbox based on improved CNN