Hierarchical knowledge guided fault intensity diagnosis of complex industrial systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Sha, Yu, Gou, Shuiping, Liu, Bo, Faber, Johannes, Liu, Ningtao, Schramm, Stefan, Stoecker, Horst, Steckenreiter, Thomas, Vnucec, Domagoj, Wetzstein, Nadine, Widl, Andreas, Zhou, Kai |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Deep Hierarchical Knowledge Loss for Fault Intensity Diagnosis
por: Sha, Yu, et al.
Publicado: (2026)
por: Sha, Yu, et al.
Publicado: (2026)
A Review of Machine Learning for Cavitation Intensity Recognition in Complex Industrial Systems
por: Sha, Yu, et al.
Publicado: (2025)
por: Sha, Yu, et al.
Publicado: (2025)
SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation
por: Deng, Hao, et al.
Publicado: (2026)
por: Deng, Hao, et al.
Publicado: (2026)
¿Mujeres en conflicto con la maternidad? La entrega de un hijo en adopción o la transgresión de un ideal materno
por: Nadine Schramm
Publicado: (2007)
por: Nadine Schramm
Publicado: (2007)
Graph Neural Networks Based Anomalous RSSI Detection
por: Bertalanič, Blaž, et al.
Publicado: (2025)
por: Bertalanič, Blaž, et al.
Publicado: (2025)
A proposal to fault diagnosis in industrial systems using bio-inspired strategies
por: Lídice Camps Echevarría
Publicado: (2011)
por: Lídice Camps Echevarría
Publicado: (2011)
Ultra-imbalanced classification guided by statistical information
por: Jin, Yin, et al.
Publicado: (2024)
por: Jin, Yin, et al.
Publicado: (2024)
The fault in our sirens: Hierarchical diagnosis of waveform systematics in Hubble-Lemaître constant measurements
por: Dhani, Arnab, et al.
Publicado: (2025)
por: Dhani, Arnab, et al.
Publicado: (2025)
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
por: Gan, Mengjie, et al.
Publicado: (2024)
por: Gan, Mengjie, et al.
Publicado: (2024)
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data
por: Chen, Gecheng, et al.
Publicado: (2024)
por: Chen, Gecheng, et al.
Publicado: (2024)
Safe diagnosis of pattern faults of stochastic discrete‐event systems and verification algorithm
por: Hongzhen Zhu, et al.
Publicado: (2024)
por: Hongzhen Zhu, et al.
Publicado: (2024)
Developing the construction industry for employment-intensive infrastructure investments: guide
por: Andreas Beusch, et al.
Publicado: (2019)
por: Andreas Beusch, et al.
Publicado: (2019)
Prediction of Distant Metastasis in Head and Neck Cancer Patients Using Tumor and Peritumoral Multi-Modal Deep Learning
por: Tong, Nuo, et al.
Publicado: (2025)
por: Tong, Nuo, et al.
Publicado: (2025)
Toward a foundation model for heavy-ion collision experiments based on point-cloud diffusion
por: Kuttan, Manjunath Omana, et al.
Publicado: (2024)
por: Kuttan, Manjunath Omana, et al.
Publicado: (2024)
Ultra fast, event-by-event heavy-ion simulations for next generation experiments
por: Kuttan, Manjunath Omana, et al.
Publicado: (2025)
por: Kuttan, Manjunath Omana, et al.
Publicado: (2025)
Canonical variate residual analysis for industrial processes fault detection
por: Yuting Li, et al.
Publicado: (2024)
por: Yuting Li, et al.
Publicado: (2024)
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning
por: Zhang, Qi, et al.
Publicado: (2024)
por: Zhang, Qi, et al.
Publicado: (2024)
A novel fault diagnosis method for imbalanced datasets based on MCNN‐Transformer model in industrial processes
por: Rongyang Lu
Publicado: (2024)
por: Rongyang Lu
Publicado: (2024)
On a Question of Erdős and Nešetřil About Minimal Cuts in a Graph
por: Domagoj Bradač
Publicado: (2024)
por: Domagoj Bradač
Publicado: (2024)
Nearly tight exponents for off-diagonal Ramsey numbers
por: Bradač, Domagoj
Publicado: (2026)
por: Bradač, Domagoj
Publicado: (2026)
On a question of Erdős and Nešetřil about minimal cuts in a graph
por: Bradač, Domagoj
Publicado: (2024)
por: Bradač, Domagoj
Publicado: (2024)
Adaptively Enhancing Facial Expression Crucial Regions via Local Non-Local Joint Network
por: Shi, Guanghui, et al.
Publicado: (2022)
por: Shi, Guanghui, et al.
Publicado: (2022)
Bridging academia and industry: A comprehensive review of advances, gaps, and future directions of fault detection and diagnosis ( FDD ) systems in the chemical industry
por: Sumana Roy, et al.
Publicado: (2025)
por: Sumana Roy, et al.
Publicado: (2025)
Observer‐based fault diagnosis for autonomous systems
por: Agus Hasan
Publicado: (2024)
por: Agus Hasan
Publicado: (2024)
Interval parity relations design for fault diagnosis
por: Alexey Zhirabok, et al.
Publicado: (2024)
por: Alexey Zhirabok, et al.
Publicado: (2024)
WiseMind: a knowledge-guided multi-agent framework for accurate and empathetic psychiatric diagnosis
por: Wu, Yuqi, et al.
Publicado: (2025)
por: Wu, Yuqi, et al.
Publicado: (2025)
Expert knowledge-guided feature selection for data-based industrial process monitoring.
por: Cesar Uribe
Publicado: (2012)
por: Cesar Uribe
Publicado: (2012)
Research on Dual Three‐Level Drive Topology and Modulation Method of Open‐End Winding PMSM With Dual Voltage Gain
por: Liping Zhong, et al.
Publicado: (2025)
por: Liping Zhong, et al.
Publicado: (2025)
A novel deep multi‐task learning model for spatial–temporal fault detection and diagnosis in industrial systems
por: Muhammad Asfandyar Shahid, et al.
Publicado: (2025)
por: Muhammad Asfandyar Shahid, et al.
Publicado: (2025)
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks
por: Han, Shuai, et al.
Publicado: (2023)
por: Han, Shuai, et al.
Publicado: (2023)
Application of intense pulsed light in the development of poly(vinyl butyral)‐based all‐solid‐state Ag/AgCl reference electrodes
por: Sara Krivačić, et al.
Publicado: (2024)
por: Sara Krivačić, et al.
Publicado: (2024)
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise
por: Liao, Jing-Xiao, et al.
Publicado: (2024)
por: Liao, Jing-Xiao, et al.
Publicado: (2024)
Bayesian Differentiable Physics for Cloth Digitalization
por: Gong, Deshan, et al.
Publicado: (2024)
por: Gong, Deshan, et al.
Publicado: (2024)
A fast and stable fault diagnosis framework for industrial processes using a reconstruction‐based autoencoder and NSGA ‐ II
por: Kangshu Ying, et al.
Publicado: (2026)
por: Kangshu Ying, et al.
Publicado: (2026)
Willow Notes
por: Wetzstein, A.
Publicado: (1900)
por: Wetzstein, A.
Publicado: (1900)
Why are the dilepton temperatures at the relativistic heavy-ion colliders are constant, T ~ 0.3 GeV?
por: Stoecker, Horst, et al.
Publicado: (2026)
por: Stoecker, Horst, et al.
Publicado: (2026)
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
por: Chen, Can, et al.
Publicado: (2023)
por: Chen, Can, et al.
Publicado: (2023)
A novel spatio‐temporal feature fusion‐based fault detection method for complex industrial processes
por: Jie Dong, et al.
Publicado: (2026)
por: Jie Dong, et al.
Publicado: (2026)
Collaborative design of fault diagnosis and fault tolerance control under nested signal temporal logic specifications
por: Lu, Penghong, et al.
Publicado: (2025)
por: Lu, Penghong, et al.
Publicado: (2025)
Model ‐based fault diagnosis and fault tolerant control in safety‐critical chemical reactors: An experimental study
por: Pu Du, et al.
Publicado: (2026)
por: Pu Du, et al.
Publicado: (2026)
Ejemplares similares
-
Deep Hierarchical Knowledge Loss for Fault Intensity Diagnosis
por: Sha, Yu, et al.
Publicado: (2026) -
A Review of Machine Learning for Cavitation Intensity Recognition in Complex Industrial Systems
por: Sha, Yu, et al.
Publicado: (2025) -
SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation
por: Deng, Hao, et al.
Publicado: (2026) -
¿Mujeres en conflicto con la maternidad? La entrega de un hijo en adopción o la transgresión de un ideal materno
por: Nadine Schramm
Publicado: (2007) -
Graph Neural Networks Based Anomalous RSSI Detection
por: Bertalanič, Blaž, et al.
Publicado: (2025)