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Learning Informative Health Indicators Through Unsupervised Contrastive Learning

K. Rombach; G. Michau; W. Burzle; S. Koller; O. Fink

Ieee Transactions On Reliability. 2024-05-16. DOI : 10.1109/TR.2024.3397394.

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Collective relational inference for learning heterogeneous interactions

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach

A Study on Gradient-based Meta-learning for Robust Deep Digital Twins

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Vibrational NDT with Under-sampled Data through Physics-informed Neural Networks

Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions

Segmenting Without Annotating: Crack Segmentation and Monitoring via Post-Hoc Classifier Explanations

Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection

Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Complex-Valued-Autoencoder for Structural Health Monitoring with Frequency Modulated Continuous Wave Radar

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

A Comparison of Residual-based Methods on Fault Detection

Graph neural networks for dynamic modeling of roller bearings

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization

Learning Physics-Consistent Particle Interactions

Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis

Ageing-aware battery discharge prediction with deep learning

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Incentive Mechanism in the Sponsored Content Market With Network Effects

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

Fusing physics-based and deep learning models for prognostics

Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

Controlled generation of unseen faults for Partial and Open-Partial domain adaptation

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives (vol 66, 1, 2022)

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Multi-agent actor-critic with time dynamical opponent model

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Multi-agent maintenance scheduling of generation unit in electricity market using safe deep reinforcement learning algorithm

Contrastive Feature Learning for Railway Infrastructure Fault Diagnostic

Vacuum Circuit Breaker Closing Time Key Moments Detection via Vibration Monitoring: A Run-to-Failure Study

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms

Artificial intelligence across company borders

Maintenance scheduling of manufacturing systems based on optimal price of the network

Real-time model calibration with deep reinforcement learning

Learning physics-consistent particle interactions

Acceleration-Guided Acoustic Signal Denoising Framework Based on Learnable Wavelet Transform Applied to Slab Track Condition Monitoring

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

A comprehensive review of digital twin – part 1: modeling and twinning enabling technologies

Continual Test-Time Domain Adaptation

A prescriptive Dirichlet power allocation policy with deep reinforcement learning