Cross-device fault diagnosis method based on graph convolution and multi-sensor fusion

Cross-device fault diagnosis method based on graph convolution and multi-sensor fusion

ObjectiveFor mechanical equipment in actual production, it is difficult or impossible to obtain a large amount of labeled data, resulting in low accuracy of traditional fault diagnosis methods. To address this problem, a cross-device fault diagnosis method based on graph convolution and multi-sensor...

Full description

Saved in:

Bibliographic Details
Main Authors:	SUN Yuanshuai, KONG Fanqin, NIE Xiaoyin, XIE Gang
Format:	Article
Language:	zho
Published:	Editorial Office of Journal of Mechanical Strength 2024-01-01
Series:	Jixie qiangdu
Subjects:	Graph convolutional neural network Multi-sensor Cross-device Domain adaptation Fault diagnosis
Online Access:	http://www.jxqd.net.cn/thesisDetails?columnId=79651143&Fpath=home&index=0
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

APPLICATION OF CONVOLUTIONAL NEURAL NETWORK AND CHAOS THEORY IN FAULT DIAGNOSIS OF ROLLING BEARINGS
by: JIN JiangTao, et al.
Published: (2022-01-01)

Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill
by: Rongrong Peng, et al.
Published: (2025-01-01)

Diagnosis of Open and Short Circuit Intermittent Connection Faults for DeviceNet Based on Multilayer Information Fusion and Circuit Network Analysis
by: Longkai Wang, et al.
Published: (2025-01-01)

ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM
by: WANG YongDing, et al.
Published: (2021-01-01)

A Review of Fault Detecting Devices for Belt Conveyor Idlers
by: Fahad Alharbi, et al.
Published: (2024-03-01)

Zero-shot intelligent fault diagnosis via semantic fusion embedding
by: Honghua Xu, et al.
Published: (2025-01-01)

FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution
by: Hefei Wang, et al.
Published: (2025-01-01)

RESEARCH ON BEARING FAULT DIAGNOSIS BASED ON CEEMDAN FUZZY ENTROPY AND CONVOLUTIONAL NEURAL NETWORK (MT)
by: XIAO JunQing, et al.
Published: (2023-01-01)

A Review of Research on Fault Diagnosis of Gear Transmission Devices Based on Acoustic Signals
by: Zhang Linhang, et al.
Published: (2024-12-01)

Meta-path convolution based heterogeneous graph neural network algorithm
by: QIN Zhilong, et al.
Published: (2024-03-01)

Fault Diagnosis of Lithium Battery Modules via Symmetrized Dot Pattern and Convolutional Neural Networks
by: Meng-Hui Wang, et al.
Published: (2024-12-01)

An imbalanced deep learning framework for pre-fault flexible multi-zone dynamic security assessment via transfer learning based graph convolutional network
by: Sasan Azad, et al.
Published: (2025-03-01)

ROTATING MACHINERY FAULT DIAGNOSIS BASED ON TWO-DIMENSIONAL CONVOLUTION NEURAL NETWORK
by: ZHANG LiZhi, et al.
Published: (2020-01-01)

Infrared thermography based fault diagnosis of diesel engines using convolutional neural network and image enhancement
by: Wang Rongcai, et al.
Published: (2024-12-01)

A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network
by: Xinyan Zhang, et al.
Published: (2024-12-01)

RESEARCH ON GEAR BOX FAULT DIAGNOSIS BASED ON DCNN AND XGBOOST ALGORITHM
by: ZHANG RongTao, et al.
Published: (2020-01-01)

Multi-channel based edge-learning graph convolutional network
by: Shuai YANG, et al.
Published: (2022-09-01)

RESEARCH ABOUT FAULT DIAGNOSIS OF BEARING BASED ON INSTRINSIC TIME SCALE DECOMPOSITION AND CONVOLUTIONAL NEURAL NETWORK
by: XIAO JunQing, et al.
Published: (2022-01-01)

Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis
by: Mohammed M. Farag
Published: (2025-01-01)

Application of Time Domain Index and Kurtosis analysis Method in the Fault Diagnosis of Rolling Bearing
by: Guo Qingfeng, et al.
Published: (2016-01-01)

THE REVIEW OF MECHANICAL FAULT DIAGNOSIS METHODS BASED ON CONVOLUTIONAL NEURAL NETWORK
by: WU DingHai, et al.
Published: (2020-01-01)

FAULT DIAGNOSIS OF ROLLING BEARINGS BASED ON CHANNEL AND SPATIAL RECONSTRUCTION NETWORKS
by: ZHOU Tao, et al.
Published: (2024-01-01)

Network fault location based on bipartite graphs for communication and information networks
by: Limin CUI, et al.
Published: (2017-03-01)

Fault Diagnosis Method of Planetary Gearbox based on Wavelet Time-frequency Diagram and Convolutional Neural Network
by: Jianhua Zhou, et al.
Published: (2022-01-01)

MGHCN: Multi-graph structures and hypergraph convolutional networks for traffic flow prediction
by: Xuanxuan Fan, et al.
Published: (2025-01-01)

MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning
by: Guangyuan Xu, et al.
Published: (2025-01-01)

A New Time-frequency Domain Feature Extraction Method for Rolling Bearing Fault Diagnosis
by: Chen Junjie, et al.
Published: (2016-01-01)

A lightweight and precision dual track 1D and 2D feature fusion convolutional network for machinery equipment fault diagnosis
by: Chaoquan Mo, et al.
Published: (2024-12-01)

Topology prediction for opportunistic network based on spatiotemporal convolution
by: Jian SHU, et al.
Published: (2023-03-01)

Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion
by: Junwen Lu, et al.
Published: (2025-01-01)

Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks
by: Fenglin Liu, et al.
Published: (2024-12-01)

A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
by: Chengyao Liu, et al.
Published: (2024-01-01)

RESEARCH ON ROLLING BEARING FAULT DIAGNOSIS BASED ON MA OPTIMIZATION OF CNN
by: TIAN LiYong, et al.
Published: (2024-08-01)

Rolling Bearing Fault Diagnosis Based on a Synchrosqueezing Wavelet Transform and a Transfer Residual Convolutional Neural Network
by: Zihao Zhai, et al.
Published: (2025-01-01)

Fault Diagnosis of Gearbox based on Multifractal Detrended Cross- correlation Analysis
by: Lin Jinshan, et al.
Published: (2016-01-01)

Research on Gear Early Wear Fault Diagnosis Based on the Sparse Attention Mechanism
by: Gao Yunduan, et al.
Published: (2023-03-01)

Fault Diagnosis Method Based on MTF-ResDSCNN Two-dimensional Image
by: Hu Mengnan, et al.
Published: (2024-02-01)

A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion
by: Xianming Sun, et al.
Published: (2025-01-01)

Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
by: Hao Luo, et al.
Published: (2025-01-01)

Bearing Multi-sensor Fusion Fault Diagnosis Based on an Adaptive ResGAT Network
by: Xin Yu, et al.
Published: (2024-12-01)