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An Ensemble Data-Driven Method for Fault Detection and Diagnosis of Digital Control Systems in Nuclear Power Plants

https://doi.org/10.2139/ssrn.5404974
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A review on fault detection and diagnosis techniques: basics and beyond
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An Efficient Fault Diagnosis Framework for Digital Twins Using Optimized Machine Learning Models in Smart Industrial Control Systems
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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems
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Coupling data-driven and model-based methods to improve fault diagnosis
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Process fault diagnosis with model- and knowledge-based approaches: Advances and opportunities
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An enhanced methodology of Fault Detection and Diagnosis based on Digital Twin
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Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test
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Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks
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Improving process safety: What roles for Digitalization and Industry 4.0?
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Coupling of adjoint-based Markov/CCMT predictive analytics with data assimilation for real-time risk scenario forecasting of industrial digital process control systems
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A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
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Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
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Integrated Fault Diagnosis and Control Design of Linear Complex Systems
inferredcites →https://doi.org/10.1088/1742-6596/1187/3/032006openalex-snapshot
A Survey of Knowledge-Based Intelligent Fault Diagnosis Techniques
inferredcites →https://doi.org/10.1109/tie.2015.2417501openalex-snapshot
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
inferredcites →https://doi.org/10.1109/tii.2013.2243743openalex-snapshot
From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis
inferredcites →https://doi.org/10.1109/tsmc.2016.2585566openalex-snapshot
Sliding Window-Based Fault Detection From High-Dimensional Data Streams
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Particle Filters and Data Assimilation
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Development of Fault Diagnostics and Prognosis System Based on Digital Twin and Blockchain
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1177/0020294013510471openalex-snapshot
Classification of Fault Diagnosis Methods for Control Systems
inferredcites →https://doi.org/10.21203/rs.3.rs-2055433/v1openalex-snapshot
RETRACTED: Fault diagnosis of control system based on neural network data fusion
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Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends
inferredcites →https://doi.org/10.3390/pr8091123openalex-snapshot
A Review on Fault Detection and Process Diagnostics in Industrial Processes
inferredcites →https://doi.org/10.3390/s21020438openalex-snapshot
Particle Filters: A Hands-On Tutorial
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Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
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Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities
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An intelligent fault detection approach for digital integrated circuits through graph neural networks
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