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Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning

https://doi.org/10.1111/mice.12901
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Shallow Domain Adaptation
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On an Application of Graph Neural Networks in Population-Based SHM
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Prognostics and Health Management of Engineering Systems: An Introduction
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Correlation Alignment for Unsupervised Domain Adaptation
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A dynamic ensemble learning algorithm for neural networks
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Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete
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A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform
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Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
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Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression
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Review of power curve modelling for wind turbines
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A comprehensive review on wind turbine power curve modeling techniques
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Multi-Layer domain adaptation method for rolling bearing fault diagnosis
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Probabilistic active learning: An online framework for structural health monitoring
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On the application of domain adaptation in structural health monitoring
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Foundations of population-based SHM, Part I: Homogeneous populations and forms
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Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer
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Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities
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On the application of kernelised Bayesian transfer learning to population-based structural health monitoring
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Bayesian modelling of multivalued power curves from an operational wind farm
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Decisions under Uncertainty
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Anomaly detection in a fleet of industrial assets with hierarchical statistical modeling
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Decision-theoretic inspection planning using imperfect and incomplete data
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A hierarchical Bayesian approach for calibration of stochastic material models
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Analysis of the reduced wake effect for available wind power calculation during curtailment
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The application of machine learning to structural health monitoring
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Machine learning at the interface of structural health monitoring and non-destructive evaluation
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Multi-Task Deep Transfer Learning Method for Guided Wave-Based Integrated Health Monitoring Using Piezoelectric Transducers
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Domain Adaptive Transfer Learning for Fault Diagnosis
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A New Neural Dynamic Classification Algorithm
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SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS
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Deep Transfer Learning for Image‐Based Structural Damage Recognition
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Multitask Sparse Bayesian Learning with Applications in Structural Health Monitoring
inferredcites →https://doi.org/10.1115/gt2018-76414openalex-snapshot
Fleet Monitoring and Diagnostics Framework Based on Digital Twin of Aero-Engines
inferredcites →https://doi.org/10.1145/1273496.1273624openalex-snapshot
Multi-task reinforcement learning
inferredcites →https://doi.org/10.1145/342009.335388openalex-snapshot
LOF
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Bayesian multi-task learning methodology for reconstruction of structural health monitoring data
inferredcites →https://doi.org/10.1177/1475921718821719openalex-snapshot
Deep learning–based autonomous concrete crack evaluation through hybrid image scanning
inferredcites →https://doi.org/10.1177/14759217221110441openalex-snapshot
On statistic alignment for domain adaptation in structural health monitoring
inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot
Bayesian Data Analysis
inferredcites →https://doi.org/10.1201/9781420010435openalex-snapshot
Linear Mixed Models
inferredcites →https://doi.org/10.1214/06-ba117aopenalex-snapshot
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
inferredcites →https://doi.org/10.1615/int.j.uncertaintyquantification.2015011808openalex-snapshot
HIERARCHICAL SPARSE BAYESIAN LEARNING FOR STRUCUTRAL HEALTH MONITORING WITH INCOMPLETE MODAL DATA
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
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A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
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Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information
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Introducing Multilevel Modeling
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The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
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Advances in Neural Information Processing Systems 19

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Meta-Learning Approach to Population-Based Modelling of Structures
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Quantifying the Value of Information Transfer in Population-Based SHM
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Damage localisation using disparate damage states via domain adaptation
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Active learning for regression in engineering populations: a risk-informed approach
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Multiattribute multitask transformer framework for vision‐based structural health monitoring
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Optimizing green splits in high‐dimensional traffic signal control with trust region Bayesian optimization
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WHEN IS AN SHM PROBLEM A MULTI-TASK- LEARNING PROBLEM?
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Transfer learning via intermediate structures
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