Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Ruijun, Liu, Yuan, Fan, Zhixia, Xu, Xiaogang, Wang, Huijie |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025)
by: Li, Guangqiang, et al.
Published: (2025)
Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis
by: Wang, Hanyang, et al.
Published: (2025)
by: Wang, Hanyang, et al.
Published: (2025)
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
by: Li, Zhongzhi, et al.
Published: (2024)
by: Li, Zhongzhi, et al.
Published: (2024)
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy
by: Qiao, Bowei, et al.
Published: (2025)
by: Qiao, Bowei, et al.
Published: (2025)
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)
by: Aryal, Bibek, et al.
Published: (2026)
Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
by: Shi, Zongyu, et al.
Published: (2026)
by: Shi, Zongyu, et al.
Published: (2026)
Neural Factorization-based Bearing Fault Diagnosis
by: Li, Zhenhao, et al.
Published: (2025)
by: Li, Zhenhao, et al.
Published: (2025)
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
by: Eldele, Emadeldeen, et al.
Published: (2025)
by: Eldele, Emadeldeen, et al.
Published: (2025)
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
by: Liu, Jiahui, et al.
Published: (2024)
by: Liu, Jiahui, et al.
Published: (2024)
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?
by: Jahan, Sigma, et al.
Published: (2025)
by: Jahan, Sigma, et al.
Published: (2025)
Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
by: Sehri, Mert, et al.
Published: (2025)
by: Sehri, Mert, et al.
Published: (2025)
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform
by: Ataei, Masoud, et al.
Published: (2025)
by: Ataei, Masoud, et al.
Published: (2025)
A Physics-Aware Attention LSTM Autoencoder for Early Fault Diagnosis of Battery Systems
by: Yang, Jiong
Published: (2025)
by: Yang, Jiong
Published: (2025)
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
by: Zhang, Hanrong, et al.
Published: (2025)
by: Zhang, Hanrong, et al.
Published: (2025)
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning
by: Hu, Junhao, et al.
Published: (2025)
by: Hu, Junhao, et al.
Published: (2025)
GRAF: Graph Attention-aware Fusion Networks
by: Kesimoglu, Ziynet Nesibe, et al.
Published: (2023)
by: Kesimoglu, Ziynet Nesibe, et al.
Published: (2023)
MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis
by: Degerli, Aysen, et al.
Published: (2023)
by: Degerli, Aysen, et al.
Published: (2023)
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network
by: Pan, Zhuofu, et al.
Published: (2024)
by: Pan, Zhuofu, et al.
Published: (2024)
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)
by: Chen, Qian, et al.
Published: (2022)
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
MSRFormer: Road Network Representation Learning using Multi-scale Feature Fusion of Heterogeneous Spatial Interactions
by: Yang, Jian, et al.
Published: (2025)
by: Yang, Jian, et al.
Published: (2025)
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
by: Cohen, Joseph, et al.
Published: (2023)
by: Cohen, Joseph, et al.
Published: (2023)
Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation
by: Li, Guangqiang, et al.
Published: (2025)
by: Li, Guangqiang, et al.
Published: (2025)
Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors
by: Ali, Usman, et al.
Published: (2025)
by: Ali, Usman, et al.
Published: (2025)
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
by: Chen, Jiaying, et al.
Published: (2024)
by: Chen, Jiaying, et al.
Published: (2024)
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities
by: Wang, Huan, et al.
Published: (2023)
by: Wang, Huan, et al.
Published: (2023)
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention
by: Ding, Xingyu, et al.
Published: (2024)
by: Ding, Xingyu, et al.
Published: (2024)
A Spatio-Temporal Graph Neural Networks Approach for Predicting Silent Data Corruption inducing Circuit-Level Faults
by: Wei, Shaoqi, et al.
Published: (2025)
by: Wei, Shaoqi, et al.
Published: (2025)
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
by: Labbaf-Khaniki, Mohammad Ali, et al.
Published: (2024)
by: Labbaf-Khaniki, Mohammad Ali, et al.
Published: (2024)
Selective Aggregation for Low-Rank Adaptation in Federated Learning
by: Guo, Pengxin, et al.
Published: (2024)
by: Guo, Pengxin, et al.
Published: (2024)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
BAFNet: Bilateral Attention Fusion Network for Lightweight Semantic Segmentation of Urban Remote Sensing Images
by: Wang, Wentao, et al.
Published: (2024)
by: Wang, Wentao, et al.
Published: (2024)
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning
by: Wang, Jinze, et al.
Published: (2024)
by: Wang, Jinze, et al.
Published: (2024)
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects
by: Jiang, Xiaoheng, et al.
Published: (2024)
by: Jiang, Xiaoheng, et al.
Published: (2024)
DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network
by: Le, Tan, et al.
Published: (2025)
by: Le, Tan, et al.
Published: (2025)
A Fault Diagnosis Method for Centrifugal Compressors Based on Ontology and Bayesian Network Fusion Reasoning
by: Xinxin Zhou, et al.
Published: (2025)
by: Xinxin Zhou, et al.
Published: (2025)
Multi-Head Attention as a Source of Catastrophic Forgetting in MoE Transformers
by: Chen, Anrui, et al.
Published: (2026)
by: Chen, Anrui, et al.
Published: (2026)
Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
by: Yang, Zhendong, et al.
Published: (2025)
by: Yang, Zhendong, et al.
Published: (2025)
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing
by: Liu, Huanbai, et al.
Published: (2024)
by: Liu, Huanbai, et al.
Published: (2024)
Fault Diagnosis and Quantification for Photovoltaic Arrays based on Differentiable Physical Models
by: Yang, Zenan, et al.
Published: (2025)
by: Yang, Zenan, et al.
Published: (2025)
Similar Items
-
Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025) -
Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis
by: Wang, Hanyang, et al.
Published: (2025) -
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
by: Li, Zhongzhi, et al.
Published: (2024) -
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy
by: Qiao, Bowei, et al.
Published: (2025) -
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)