A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
出版年份 2023 全文链接
标题
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
作者
关键词
-
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 200, Issue -, Pages 110609
出版商
Elsevier BV
发表日期
2023-07-30
DOI
10.1016/j.ymssp.2023.110609
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data
- (2023) Dingyi Sun et al. Information Fusion
- Difference mode decomposition for adaptive signal decomposition
- (2023) Bingchang Hou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis
- (2023) Bingchang Hou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
- (2023) Yadong Xu et al. Information Fusion
- Dually attentive multiscale networks for health state recognition of rotating machinery
- (2022) Yadong Xu et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Joint attention feature transfer network for gearbox fault diagnosis with imbalanced data
- (2022) Biao Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Intelligent bearing fault diagnosis method combining mixed input and hybrid CNN-MLP model
- (2022) V. Sinitsin et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Broad auto-encoder for machinery intelligent fault diagnosis with incremental fault samples and fault modes
- (2022) Yang Fu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery
- (2022) Yadong Xu et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions
- (2022) Yadong Xu et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Deep discriminative transfer learning network for cross-machine fault diagnosis
- (2022) Quan Qian et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault diagnosis of rotating machinery based on graph weighted reinforcement networks under small samples and strong noise
- (2022) Xiaoxia Yu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A novel intelligent fault diagnosis method of rolling bearing based on two-stream feature fusion convolutional neural network
- (2021) Feng Xue et al. MEASUREMENT
- Adaptive feature extraction and fault diagnosis for three-phase inverter based on hybrid-CNN models under variable operating conditions
- (2021) Quan Sun et al. Complex & Intelligent Systems
- Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery
- (2021) Haidong Shao et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising
- (2021) Huan Wang et al. ISA TRANSACTIONS
- MLPC-CNN: A multi-sensor vibration signal fault diagnosis method under less computing resources
- (2021) Yalun Zhang et al. MEASUREMENT
- Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery
- (2021) Yiyuan Gao et al. MEASUREMENT
- Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network
- (2021) Tingli Xie et al. IEEE Transactions on Industrial Informatics
- The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
- (2021) Tianfu Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis
- (2021) Kaibo Zhou et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network
- (2020) Xin Wang et al. MEASUREMENT
- Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis
- (2020) Moslem Azamfar et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults
- (2020) Alex Shenfield et al. SENSORS
- Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis
- (2020) Tianfu Li et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Three-Stream Attention-Aware Network for RGB-D Salient Object Detection
- (2019) Hao Chen et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Multilevel Information Fusion for Induction Motor Fault Diagnosis
- (2019) Jinjiang Wang et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis
- (2019) Jinyang Jiao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Fault diagnosis of rolling element bearing based on symmetric cross entropy of neutrosophic sets
- (2019) Anil Kumar et al. MEASUREMENT
- A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion
- (2019) Duy Tang Hoang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- DCNN-Based Multi-Signal Induction Motor Fault Diagnosis
- (2019) Siyu Shao et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization
- (2019) Sheng Guo et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
- (2018) Min Xia et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
- (2018) Haidong Shao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep residual learning-based fault diagnosis method for rotating machinery
- (2018) Wei Zhang et al. ISA TRANSACTIONS
- An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
- (2017) Luyang Jing et al. SENSORS
- CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion
- (2017) Junwei Han et al. IEEE Transactions on Cybernetics
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now