Compressor Fault Diagnosis Based on Graph Attention Network

Junqing Shen; Shenjun Zheng; Tian Tian; Yun Sun; Hongru Wang; Jun Ni; Ronghu Chang; Dongwei Xu

doi:10.1007/978-981-99-3925-1_18

ScienceGate Book Chapters

BOOK-CHAPTER

Compressor Fault Diagnosis Based on Graph Attention Network

Junqing Shen Shenjun Zheng Tian Tian Yun Sun Hongru Wang Jun Ni Ronghu Chang Dongwei Xu

Year: 2023 Communications in computer and information science Pages: 275-289 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-3925-1_18

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Graph Variable (mathematics) Data mining Leverage (statistics) Classifier (UML) Artificial intelligence Algorithm Pattern recognition (psychology) Theoretical computer science Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.31

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Power Transformer Diagnostics and Insulation

Physical Sciences → Engineering → Electrical and Electronic Engineering

Compressor Fault Diagnosis Based on Graph Attention Network

Metrics

Topics

Related Documents

Bearing fault diagnosis based on graph attention neural network

Fault diagnosis of reciprocating compressor based on group self-attention network

Elevator Fault Diagnosis Based on a Graph Attention Recurrent Network

An Industrial Fault Diagnosis Method Based on Graph Attention Network

Bearing fault diagnosis based on sparsity structure pruning graph attention network