Multi-level fault diagnosis of gearbox based on knowledge graph and deep learning

Xinchen Xu; Beibei Sun

doi:10.1109/icmimt61937.2024.10586149

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-level fault diagnosis of gearbox based on knowledge graph and deep learning

Xinchen Xu Beibei Sun

Year: 2024 Pages: 6-12

DOI: 10.1109/icmimt61937.2024.10586149

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Deep learning Knowledge graph Artificial intelligence Fault (geology) Graph Machine learning Theoretical computer science Geology Seismology

Metrics

Cited By

0.50

FWCI (Field Weighted Citation Impact)

Refs

0.50

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Multi-level fault diagnosis of gearbox based on knowledge graph and deep learning

Metrics

Citation History

Topics

Related Documents

Gearbox fault diagnosis method based on deep learning multi-task framework

Knowledge discovery for gearbox fault diagnosis using flow graph

Composite fault diagnosis of gearbox based on deep graph residual convolutional network

Multi-Scale Attention Based Deep Reinforcement Learning for Intelligent Fault Diagnosis of Planetary Gearbox

Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model