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Multi-objective adjustment of remaining useful life predictions based on reinforcement learning
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Innovative sensing technologies for nuclear instrumentation
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A Review of Prognostics and Health Management Applications in Nuclear Power Plants
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Bidirectional handshaking LSTM for remaining useful life prediction
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Use of first order reversal curve measurements to understand Barkhausen noise emission in nuclear steel
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REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: VOLUME 32, AIP Conference Proceedings
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Bayesian Networks in Fault Diagnosis
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A review of diagnostic and prognostic capabilities and best practices for manufacturing
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Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks
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Monitoring of pipelines in nuclear power plants by measuring laser-based mechanical impedance
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Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy
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An adaptive ARX model to estimate the RUL of aluminum plates based on its crack growth
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Selecting features for nuclear transients classification by means of genetic algorithms
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Reconstruction-based contribution approaches for improved fault diagnosis using principal component analysis
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A convolutional neural network model for abnormality diagnosis in a nuclear power plant
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A framework analyzing system status and human activities: Illustrated using 2011 Fukushima nuclear power plant accident scenarios
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Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern Assignment Metric
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Irradiation Testing of Piezoelectric (Aluminum Nitride, Zinc Oxide, and Bismuth Titanate) and Magnetostrictive Sensors (Remendur and Galfenol)
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An improved Bayesian network method for fault diagnosis
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A New Fault Diagnosis and Prognosis Technology for High-Power Lithium-Ion Battery
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Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant
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Adaptive floating search methods in feature selection
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An Application of ASP in Nuclear Engineering: Explaining the Three Mile Island Nuclear Accident Scenario
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Motor Health Monitoring at Standstill Through Impedance Analysis
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Prognostic and health management for engineering systems: a review of the data‐driven approach and algorithms
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Dimension reduction of process dynamic trends using independent component analysis
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Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
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Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
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Fusing Competing Prediction Algorithms for Prognostics
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Prognostic and diagnostic monitoring of complex systems for product lifecycle management: Challenges and opportunities
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Simulation of magnetic hysteresis loops and magnetic Barkhausen noise of α-iron containing nonmagnetic particles
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Dynamic independent component analysis approach for fault detection and diagnosis
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A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
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Novel fault diagnosis scheme utilizing deep learning networks
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Machinery Early Fault Detection Based on Dirichlet Process Mixture Model
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Visual Vibrometry: Estimating Material Properties from Small Motions in Video
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A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants
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A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders
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A common cause failure model for components under age-related degradation
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On the prediction of critical heat flux using a physics-informed machine learning-aided framework
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Uncertainty Management for Diagnostics and Prognostics of Batteries using Bayesian Techniques
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Loose parts detection method combining blind deconvolution with support vector machine
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Investigating the performance of the supervised learning algorithms for estimating NPPs parameters in combination with the different feature selection techniques
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An impedance-based diameter gauge for in-pile fuel deformation measurements
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A novel wrapper method for feature selection and its applications
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PWM-VSI Fault Diagnosis for a PMSM Drive Based on the Fuzzy Logic Approach
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A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data
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Bayesian network approach to fault diagnosis of a hydroelectric generation system
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Statistical fault detection using PCA-based GLR hypothesis testing
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Kernel approaches for fault detection and classification in PARR-2
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False alarm reducing in PCA method for sensor fault detection in a nuclear power plant
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A data-model-fusion prognostic framework for dynamic system state forecasting
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Uncertainty Quantification in Prognostic Health Management Systems
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A New Hybrid Prognostic Methodology
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Benchmark for filter methods for feature selection in high-dimensional classification data
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Sensing capabilities of piezoelectric wafer active sensors in extreme nuclear environment
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SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, SPIE Proceedings
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Data driven approach for fault detection and diagnosis of turbine in thermal power plant using Independent Component Analysis (ICA)
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Visualization of back surface defects by piezoelectric film
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Ensemble Learning-based Fault Detection in Nuclear Power Plant Screen Cleaners
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Fault detection with Conditional Gaussian Network
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A fault diagnosis method based on signed directed graph and matrix for nuclear power plants
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The effects of the structure characteristics on Magnetic Barkhausen noise in commercial steels
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Robust on-line diagnosis tool for the early accident detection in nuclear power plants
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A Deep Learning Method for Fault Detection of Autonomous Vehicles
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A review of prognostics and health management of machine tools
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Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo
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On Applications of Spiking Neural P Systems
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Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue
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Impact Monitoring for Aircraft Smart Composite Skins Based on a Lightweight Sensor Network and Characteristic Digital Sequences
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Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
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Damage Mechanics Approach for Bearing Lifetime Prognostics
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Quality-related fault detection approach based on dynamic kernel partial least squares
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A review of feature selection techniques in bioinformatics
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A Belief Rule-Based Expert System for Fault Diagnosis of Marine Diesel Engines
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Deep separable convolutional network for remaining useful life prediction of machinery
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Sensors incipient fault detection and isolation of nuclear power plant using extended Kalman filter and Kullback–Leibler divergence
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A scalable fuzzy support vector machine for fault detection in transportation systems
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An autonomous control framework for advanced reactors
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Improved Kalman Filtering-Based Information Fusion for Crack Monitoring Using Piezoelectric-Fiber Hybrid Sensor Network
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Prognostics and life beyond 60 years for nuclear power plants
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On-line fault detection of a fuel rod temperature measurement sensor in a nuclear reactor core using ANNs
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A radically data-driven method for fault detection and diagnosis in wind turbines
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Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
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On the role of Prognostics and Health Management in advanced maintenance systems
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Video Camera–Based Vibration Measurement for Civil Infrastructure Applications
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Parallel PCA–KPCA for nonlinear process monitoring
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Comparison of Computational Prognostic Methods for Complex Systems Under Dynamic Regimes: A Review of Perspectives
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Industry 4.0: Some Challenges and Opportunities for Reliability Engineering
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A nonlinear kernel Gaussian mixture model based inferential monitoring approach for fault detection and diagnosis of chemical processes
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Prognostics, from the need to reality-from the fleet users and PHM system designer/developers perspectives
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Gene Selection for Cancer Classification using Support Vector Machines
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Fault diagnosis in induction motor using fuzzy logic
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Framework for fault diagnosis with multi-source sensor nodes in nuclear power plants based on a Bayesian network
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Rolling bearing health prognosis using a modified health index based hierarchical gated recurrent unit network
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A survey of the state of condition-based maintenance (CBM) in the nuclear power industry
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Data-driven root cause diagnosis of faults in process industries
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Debonding Detection in Hidden Frame Supported Glass Curtain Walls Using the Nonlinear Ultrasonic Modulation Method with Piezoceramic Transducers
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Improved PCA method for sensor fault detection and isolation in a nuclear power plant
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Diagnosis of operational failures and on-demand failures in nuclear power plants: An approach based on dynamic Bayesian networks
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Structural Health Monitoring with Piezoelectric Wafer Active Sensors for Space Applications
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Nuclear Power Plant Thermocouple Sensor Fault Detection and Classification using Deep Learning and Generalized Likelihood Ratio Test
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An approach to multiple fault diagnosis using fuzzy logic
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A Physics-informed Neural Network for Wind Turbine Main Bearing Fatigue
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Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
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A review on machinery diagnostics and prognostics implementing condition-based maintenance
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Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review
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Fault diagnostics of spur gear using decision tree and fuzzy classifier
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Study of fatigue crack initiation from flaws using fracture mechanics theory
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A dual-LSTM framework combining change point detection and remaining useful life prediction
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A General Methodology for Uncertainty Quantification in Engineering Analyses Using a Credible Probability Box
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Neural network of Gaussian radial basis functions applied to the problem of identification of nuclear accidents in a PWR nuclear power plant
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Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation
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Wrappers for feature subset selection
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Optimal Fault Classification Using Fisher Discriminant Analysis in the Parity Space for Applications to NPPs
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Support vector machine with parameter optimization by a novel hybrid method and its application to fault diagnosis
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Remaining useful life estimation – A review on the statistical data driven approaches
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A multi-stage hybrid fault diagnosis approach for operating conditions of nuclear power plant
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Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method
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Real-Time Impact Visualization Inspection of Aerospace Composite Structures with Distributed Sensors
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A new fault detection method for non-Gaussian process based on robust independent component analysis
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A novel concept and assessment method for trustworthiness of prognostics
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Analysis of a complex of statistical variables into principal components.
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Fault diagnosis of Pakistan Research Reactor-2 with data-driven techniques
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Explicit results for wear processes in a Markovian environment
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ANN Based Sensor and Actuator Fault Detection in Nuclear Reactors
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