On the public citation graph
Coupling data-driven and model-based methods to improve fault diagnosis
0 signed · 118 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-68282-2openalex-snapshot
Bayesian Networks and Decision Graphs
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1007/978-1-4471-4799-2openalex-snapshot
Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools
inferredcites →https://doi.org/10.1007/978-981-32-9698-5_8openalex-snapshot
Open-Circuit Fault Diagnosis of an Inverter Based on Bayesian Network
inferredcites →https://doi.org/10.1016/j.anucene.2020.107767openalex-snapshot
A probabilistic model-based diagnostic framework for nuclear engineering systems
inferredcites →https://doi.org/10.1016/j.apor.2019.101990openalex-snapshot
A dynamic Bayesian network based methodology for fault diagnosis of subsea Christmas tree
inferredcites →https://doi.org/10.1016/j.applthermaleng.2018.06.037openalex-snapshot
Enhanced chiller fault detection using Bayesian network and principal component analysis
inferredcites →https://doi.org/10.1016/j.arcontrol.2004.12.002openalex-snapshot
Model-based fault-detection and diagnosis – status and applications
inferredcites →https://doi.org/10.1016/j.asoc.2010.02.019openalex-snapshot
Bond graph based Bayesian network for fault diagnosis
inferredcites →https://doi.org/10.1016/j.ces.2011.07.025openalex-snapshot
Dynamic bayesian approach to gross error detection and compensation with application toward an oil sands process
inferredcites →https://doi.org/10.1016/j.ces.2019.01.060openalex-snapshot
Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model
inferredcites →https://doi.org/10.1016/j.conengprac.2018.08.013openalex-snapshot
Combining model-based diagnosis and data-driven anomaly classifiers for fault isolation
inferredcites →https://doi.org/10.1016/j.engappai.2015.07.020openalex-snapshot
Fault detection with Conditional Gaussian Network
inferredcites →https://doi.org/10.1016/j.engappai.2018.01.001openalex-snapshot
A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry
inferredcites →https://doi.org/10.1016/j.engappai.2018.02.014openalex-snapshot
A generic framework for decision fusion in Fault Detection and Diagnosis
inferredcites →https://doi.org/10.1016/j.engappai.2019.07.016openalex-snapshot
A single Bayesian network classifier for monitoring with unknown classes
inferredcites →https://doi.org/10.1016/j.eswa.2014.10.020openalex-snapshot
An approach for developing diagnostic Bayesian network based on operation procedures
inferredcites →https://doi.org/10.1016/j.eswa.2017.03.056openalex-snapshot
A Bayesian network-based approach for fault analysis
inferredcites →https://doi.org/10.1016/j.ifacol.2018.09.380openalex-snapshot
Fault detection and classification using artificial neural networks
inferredcites →https://doi.org/10.1016/j.ijrefrig.2019.03.008openalex-snapshot
A practical chiller fault diagnosis method based on discrete Bayesian network
inferredcites →https://doi.org/10.1016/j.isatra.2018.10.044openalex-snapshot
Exploiting Bayesian networks for fault isolation: A diagnostic case study of diesel fuel injection system
inferredcites →https://doi.org/10.1016/j.jlp.2020.104267openalex-snapshot
Model-based information fusion investigation on fault isolation of subsea systems considering the interaction among subsystems and sensors
inferredcites →https://doi.org/10.1016/j.jprocont.2017.03.015openalex-snapshot
Leak localization in water distribution networks using Bayesian classifiers
inferredcites →https://doi.org/10.1016/j.neucom.2015.05.014openalex-snapshot
Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill
inferredcites →https://doi.org/10.1016/j.renene.2020.07.062openalex-snapshot
Acoustical damage detection of wind turbine yaw system using Bayesian network
inferredcites →https://doi.org/10.1016/s0098-1354(02)00162-xopenalex-snapshot
A review of process fault detection and diagnosis
inferredcites →https://doi.org/10.1016/s1474-6670(17)32149-3openalex-snapshot
Model-Based Fault Detection and Diagnosis - Status and Applications
inferredcites →https://doi.org/10.1021/acs.iecr.0c02762openalex-snapshot
Bayesian Network Based on an Adaptive Threshold Scheme for Fault Detection and Classification
inferredcites →https://doi.org/10.1109/acc.2002.1024028openalex-snapshot
A probabilistic approach to residual processing for vehicle fault detection
inferredcites →https://doi.org/10.1109/access.2018.2800530openalex-snapshot
Fault Diagnosis of Water Quality Monitoring Devices Based on Multiclass Support Vector Machines and Rule-Based Decision Trees
inferredcites →https://doi.org/10.1109/jsen.2018.2885377openalex-snapshot
Concurrent Fault Diagnosis Based on Bayesian Discriminating Analysis and Time Series Analysis With Dimensionless Parameters
inferredcites →https://doi.org/10.1109/tase.2016.2574875openalex-snapshot
A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults
inferredcites →https://doi.org/10.1109/tase.2019.2915286openalex-snapshot
Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy
inferredcites →https://doi.org/10.1109/tie.2014.2301773openalex-snapshot
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
inferredcites →https://doi.org/10.1109/tii.2017.2695583openalex-snapshot
Bayesian Networks in Fault Diagnosis
inferredcites →https://doi.org/10.1115/imece2005-82165openalex-snapshot
Residual Autocorrelation in Probabilistic Model-Based Diagnostics
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1177/0142331215581446openalex-snapshot
A Bayesian network dealing with measurements and residuals for system monitoring
inferredcites →https://doi.org/10.1177/0142331220935708openalex-snapshot
On wavelet-based statistical process monitoring
inferredcites →https://doi.org/10.1198/tech.2008.s543openalex-snapshot
Bayesian Networks and Decision Graphs
inferredcites →https://doi.org/10.1243/1748006xjrr96openalex-snapshot
Component reliability in fault-diagnosis decision making based on dynamic Bayesian networks
inferredcites →https://doi.org/10.1504/ijcat.2017.082261openalex-snapshot
Robust fault detection and isolation in bond graph modelled processes with Bayesian networks
inferredcites →https://doi.org/10.1504/ijcat.2017.10003078openalex-snapshot
Robust fault detection and isolation in bond graph modelled processes with Bayesian networks
inferredcites →https://doi.org/10.18637/jss.v017.b05openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.23919/ecc51009.2020.9143832openalex-snapshot
Fault diagnosis using PCA-Bayesian Network classifier with unknown faults
inferredcites →https://doi.org/10.5220/0004432101620168openalex-snapshot
A Bayesian Approach to FDD Combining Two Different Bayesian Networks Modeling a Data-Driven Method and a Model-based Method
inferredcites →https://doi.org/10.5220/0008053304630468openalex-snapshot
Fault Diagnosis by Bayesian Network Classifiers with a Distance Rejection Criterion
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4803715openalex-extracted
Dynamic Multivariate State Estimation Early Fault Diagnosis Method for Multi-Mode Nonstationary Industrial Process Based on Multi-Domain Transfer Collaboration Learning
inferred← citeshttps://doi.org/10.2139/ssrn.4827142openalex-extracted
An Integrated Approach for Fault Detection and Diagnosis Based on Product Operating Data and Online Reviews
inferred← citeshttps://doi.org/10.1007/978-981-19-9010-6_4openalex-snapshot
A Method for Constructing a Hybrid Controller for Reconfiguration of On-Board Systems of a Supersonic Passenger Aircraft in the Event of Failures
inferred← citeshttps://doi.org/10.1007/s42452-024-06390-3openalex-snapshot
A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm
inferred← citeshttps://doi.org/10.1016/j.arcontrol.2026.101064openalex-snapshot
Hybrid fault diagnosis in the process and chemical industries: A review
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115070openalex-snapshot
Scalable structurally-guided consensus for distributed learning-based fault isolation in networked dynamical systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115227openalex-snapshot
A deep belief rule with backward deduction process for the autonomous underwater vehicle fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.compind.2022.103740openalex-snapshot
Machine learning iterative filtering algorithm for field defect detection in the process stage
inferred← citeshttps://doi.org/10.1016/j.compind.2022.103770openalex-snapshot
Explainable root cause and pathway analysis with robust and adaptive statistics
inferred← citeshttps://doi.org/10.1016/j.compind.2022.103810openalex-snapshot
In-situ fault detection for the spindle motor of CNC machines via multi-stage residual fusion convolution neural networks
inferred← citeshttps://doi.org/10.1016/j.compind.2023.103983openalex-snapshot
Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators
inferred← citeshttps://doi.org/10.1016/j.compind.2023.104062openalex-snapshot
Incipient fault detection enhancement based on spatial-temporal multi-mode siamese feature contrast learning for industrial dynamic process
inferred← citeshttps://doi.org/10.1016/j.compind.2024.104099openalex-snapshot
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
inferred← citeshttps://doi.org/10.1016/j.conengprac.2025.106283openalex-snapshot
Consistency-based diagnosis using data-driven residuals and limited training data
inferred← citeshttps://doi.org/10.1016/j.ejcon.2021.06.014openalex-snapshot
Unlocked decision making based on causal connections strength
inferred← citeshttps://doi.org/10.1016/j.energy.2023.129120openalex-snapshot
Graph structure embedded with physical constraints-based information fusion network for interpretable fault diagnosis of aero-engine
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.104811openalex-snapshot
Novel online discriminant analysis based schemes to deal with observations from known and new classes: Application to industrial systems
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108360openalex-snapshot
Leak detection for natural gas gathering pipeline using spatio-temporal fusion of practical operation data
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111306openalex-snapshot
A systematic review on advancement and challenges in multi-fault diagnosis of rotating machines
inferred← citeshttps://doi.org/10.1016/j.engfailanal.2022.106790openalex-snapshot
Aero-engine gas path system health assessment based on depth digital twin
inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.120842openalex-snapshot
What lies within: Utilizing graph neural networks for subsurface detection in finite element simulations
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120957openalex-snapshot
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126673openalex-snapshot
A decision support system for optimised industrial water management
inferred← citeshttps://doi.org/10.1016/j.etran.2025.100489openalex-snapshot
Digital twins for battery health prognosis: A comprehensive review of recent advances and challenges
inferred← citeshttps://doi.org/10.1016/j.ifacol.2021.08.148openalex-snapshot
A causal mixture model decomposition for root cause identification
inferred← citeshttps://doi.org/10.1016/j.ifacol.2025.09.092openalex-snapshot
Uncertainty-Aware Fault Diagnosis with Conformal Prediction
inferred← citeshttps://doi.org/10.1016/j.isatra.2021.04.024openalex-snapshot
Heterogeneous bi-directional recurrent neural network combining fusion health indicator for predictive analytics of rotating machinery
inferred← citeshttps://doi.org/10.1016/j.jtte.2025.03.009openalex-snapshot
State of the art of railway onboard systems for driver-machine cooperation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129588openalex-snapshot
Data-driven machinery fault diagnosis: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.paerosci.2024.101008openalex-snapshot
A review of fault management issues in aircraft systems: Current status and future directions
inferred← citeshttps://doi.org/10.1016/j.websem.2022.100717openalex-snapshot
An MDE-based methodology for closed-world integrity constraint checking in the semantic web
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113599openalex-snapshot
Uncertainty-aware fault diagnosis of unknown faults using ensemble-based NODE residuals
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113822openalex-snapshot
Knowledge-driven compound fault detection enhancement based on multi-modal feature generative adversarial collaborative learning for industrial rotating machinery
inferred← citeshttps://doi.org/10.1038/s41598-025-96137-wopenalex-snapshot
Multi scale convolutional neural network combining BiLSTM and attention mechanism for bearing fault diagnosis under multiple working conditions
inferred← citeshttps://doi.org/10.1063/5.0255451openalex-snapshot
A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
inferred← citeshttps://doi.org/10.1080/00207721.2025.2550562openalex-snapshot
A bibliometric literature review of integrated data and model based diagnosis approaches for the industry 4.0
inferred← citeshttps://doi.org/10.1088/1361-6501/ac8367openalex-snapshot
Fault monitoring and diagnosis of high-pressure heater system based on improved particle swarm optimization and probabilistic neural network
inferred← citeshttps://doi.org/10.1088/1361-6501/ad3976openalex-snapshot
A data-driven hybrid sensor fault detection/diagnosis method with flight test data
inferred← citeshttps://doi.org/10.1088/1361-6501/ad4ab3openalex-snapshot
Adaptive physics-encoded graph neural network for health stage assessment of liquid-propellant rocket engines
inferred← citeshttps://doi.org/10.1088/1742-6596/2362/1/012043openalex-snapshot
A review of failure prognostics for predictive maintenance of offshore wind turbines
inferred← citeshttps://doi.org/10.1093/jrsssc/qlag003openalex-snapshot
Statistical monitoring with novel temporal edge network processes
inferred← citeshttps://doi.org/10.1109/access.2023.3305261openalex-snapshot
An Auxiliary Classifier Generative Adversarial Network Based Fault Diagnosis for Analog Circuit
inferred← citeshttps://doi.org/10.1109/access.2024.3509818openalex-snapshot
A Novel Unsupervised Anomaly Detection Framework for Early Fault Detection in Complex Industrial Settings
inferred← citeshttps://doi.org/10.1109/access.2025.3643919openalex-snapshot
Adaptive Hybrid Observer-ANN Architecture for Robust Fault Detection in Turbo-Jet Reactors Under Noisy and Faulty Conditions
inferred← citeshttps://doi.org/10.1109/codit58514.2023.10284377openalex-snapshot
Augmented Flight Management System for Future Single Pilot Operations
inferred← citeshttps://doi.org/10.1109/iccad60883.2024.10553914openalex-snapshot
Faults Diagnosis based on Autoencoder and Classifier Techniques
inferred← citeshttps://doi.org/10.1109/iccad69956.2026.11643119openalex-snapshot
Online Conformal Prediction for Fault Diagnosis Under Operating Mode Transitions
inferred← citeshttps://doi.org/10.1109/iecon51785.2023.10312583openalex-snapshot
Effect of Fault Severities and Noise Levels on Fault Isolation in 7-Phase Electrical Machines
inferred← citeshttps://doi.org/10.1109/jsen.2025.3618723openalex-snapshot
Deep Attention Convolutional Capsule Network: A New Fault Diagnosis for Electrohydraulic Proportional Servo Valves in Industrial Large Models
inferred← citeshttps://doi.org/10.1109/med51440.2021.9480254openalex-snapshot
Open set diagnosis: high-dimensional clustering
inferred← citeshttps://doi.org/10.1109/tii.2023.3264288openalex-snapshot
Variational Bayesian Learning With Reliable Likelihood Approximation for Accurate Process Quality Evaluation
inferred← citeshttps://doi.org/10.1109/tii.2023.3299111openalex-snapshot
The Potentiality of Integrating Model-Based Residuals and Machine-Learning Classifiers: An Induction Motor Fault Diagnosis Case
inferred← citeshttps://doi.org/10.1109/tii.2024.3438256openalex-snapshot
Fault-Tolerant Sun-Pointing Attitude Control Based on Physics-Guided Neural Networks
inferred← citeshttps://doi.org/10.1109/tim.2022.3227609openalex-snapshot
Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment
inferred← citeshttps://doi.org/10.1109/tr.2026.3696311openalex-snapshot
K-FDE: Kurtosis and Frequency-Domain Enhanced Adaptive Feature Learning Framework for Intelligent Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/yac63405.2024.10598748openalex-snapshot
Aeroengine Gas Path Fault Diagnosis Based on Attention Mechanism-optimized 1DCNN
inferred← citeshttps://doi.org/10.1177/01423312231157118openalex-snapshot
Recent deep learning models for diagnosis and health monitoring: A review of research works and future challenges
inferred← citeshttps://doi.org/10.1177/14759217261462947openalex-snapshot
Heterogeneous dual-stream contrastive adversarial network for cross-domain mechanical fault diagnosis
inferred← citeshttps://doi.org/10.1177/18724981251352389openalex-snapshot
Enabling digital twins for industrial water management
inferred← citeshttps://doi.org/10.2139/ssrn.5404974openalex-snapshot
An Ensemble Data-Driven Method for Fault Detection and Diagnosis of Digital Control Systems in Nuclear Power Plants
inferred← citeshttps://doi.org/10.2139/ssrn.6170140openalex-snapshot
Analysis of Fault Distinguishability Achieved by Methods Extending the Consistency-Based Diagnosis Approach
inferred← citeshttps://doi.org/10.2139/ssrn.7442651openalex-snapshot
Pressure-Based Leakage Detection for Household Natural Gas Pipeline Systems: Feature Reconstruction and Temporal Feature Fusion for Process-Safety Monitoring
inferred← citeshttps://doi.org/10.23919/ecc54610.2021.9655213openalex-snapshot
New decision rules for Fisher discriminant analysis : applied to fault diagnosis
inferred← citeshttps://doi.org/10.32604/cmes.2024.055633openalex-snapshot
Analysing Recent Breakthroughs in Fault Diagnosis through Sensor: A Comprehensive Overview
inferred← citeshttps://doi.org/10.3389/fnuen.2025.1714098openalex-snapshot
An ensemble data-driven method for fault detection and diagnosis of digital control systems in nuclear power plants
inferred← citeshttps://doi.org/10.3390/app15116334openalex-snapshot
Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends
inferred← citeshttps://doi.org/10.3390/electronics12030511openalex-snapshot
Data-Driven Fault Early Warning Model of Automobile Engines Based on Soft Classification
inferred← citeshttps://doi.org/10.3390/jmse13071321openalex-snapshot
Fault Signal Emulation of Marine Turbo-Rotating Systems Based on Rotor-Gear Dynamic Interaction Modeling
inferred← citeshttps://doi.org/10.3390/math13050797openalex-snapshot
A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples
inferred← citeshttps://doi.org/10.53106/199115992022063303013openalex-snapshot
Petrochemical Gearbox Fault Location and Diagnosis Method Based on Distributed Bayesian Model and Neural Network
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.