Cover Image

Digital Twin-Driven Zero-Shot Fault Diagnosis of Axial Piston Pumps Using Fluid-Borne Noise Signals

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Chang, Tao, Jianfeng, Liu, Chengliang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Condition Digital Twin Calibration for Axial Piston Pumps : Compound Fault Simulation
by: Dong, Chang, et al.
Published: (2026)

An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
by: Wei, Zhihuan, et al.
Published: (2026)

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)

Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
by: Zhao, Jiancheng, et al.
Published: (2024)

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)

Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)

FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)

From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
by: Gao, Wentao, et al.
Published: (2025)

TransferLight: Zero-Shot Traffic Signal Control on any Road-Network
by: Schmidt, Johann, et al.
Published: (2024)

Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio
by: Wen, Ziqing, et al.
Published: (2026)

BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling
by: Zhou, Songqi, et al.
Published: (2025)

Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT
by: Belay, Mohammed Ayalew, et al.
Published: (2026)

Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
by: Liu, Ruijia, et al.
Published: (2025)

MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
by: Feofanov, Vasilii, et al.
Published: (2026)

Interpreting What Typical Fault Signals Look Like via Prototype-matching
by: Chen, Qian, et al.
Published: (2024)

Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025)

Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Data-Driven Open-Loop Simulation for Digital-Twin Operator Decision Support in Wastewater Treatment
by: Simethy, Gary, et al.
Published: (2026)

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2025)

On Zero-Shot Reinforcement Learning
by: Jeen, Scott
Published: (2025)

ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)

SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2025)

Language-Driven Anchors for Zero-Shot Adversarial Robustness
by: Li, Xiao, et al.
Published: (2023)

MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
by: Chatzigeorgakidis, Georgios, et al.
Published: (2024)

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
by: Zhang, Hanrong, et al.
Published: (2025)

FD-LLM: Large Language Model for Fault Diagnosis of Machines
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)

Data-driven Machinery Fault Diagnosis: A Comprehensive Review
by: Neupane, Dhiraj, et al.
Published: (2024)

Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)

Entropy-Aware Structural Alignment for Zero-Shot Handwritten Chinese Character Recognition
by: Luo, Qiuming, et al.
Published: (2026)

Zero Shot Health Trajectory Prediction Using Transformer
by: Renc, Pawel, et al.
Published: (2024)

Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
by: Zhang, Kuan, et al.
Published: (2025)

The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)

LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis
by: Wei, Zhihuan, et al.
Published: (2026)

Position: Foundation Models Need Digital Twin Representations
by: Shen, Yiqing, et al.
Published: (2025)

Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
by: Liu, Shuai, et al.
Published: (2026)

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
by: Khan, Abdullah, et al.
Published: (2024)

Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
by: Maged, Ahmed, et al.
Published: (2024)