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Current status of machine prognostics in condition-based maintenance: a review
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Monitoring batch processes using multiway principal component analysis
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Reduction in mean residual life in the presence of a constant competing risk
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A PASSIVE DIAGNOSTIC EXPERIMENT WITH ERGODIC PROPERTIES
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Adaptive prognostics for rolling element bearing condition
inferredcites →https://doi.org/10.1006/mssp.2000.1309openalex-snapshot
CONDITION-BASED MAINTENANCE OF MACHINES USING HIDDEN MARKOV MODELS
inferredcites →https://doi.org/10.1006/mssp.2002.1483openalex-snapshot
DAMAGE MECHANICS APPROACH FOR BEARING LIFETIME PROGNOSTICS
inferredcites →https://doi.org/10.1007/978-1-4612-4380-9_37openalex-snapshot
Regression Models and Life-Tables
inferredcites →https://doi.org/10.1007/978-1-84882-472-0_14openalex-snapshot
System Health Monitoring and Prognostics – A Review of Current Paradigms and Practices
inferredcites →https://doi.org/10.1007/978-3-642-67740-3_6openalex-snapshot
Speech Recognition and Understanding
inferredcites →https://doi.org/10.1007/978-3-642-76626-8_14openalex-snapshot
Continuously Variable Transition Probability HMM for Speech Recognition
inferredcites →https://doi.org/10.1007/s00170-004-2131-6openalex-snapshot
System health monitoring and prognostics — a review of current paradigms and practices
inferredcites →https://doi.org/10.1007/s00170-004-2198-0openalex-snapshot
Sequential monitoring of manufacturing processes: an application of grey forecasting models
inferredcites →https://doi.org/10.1007/s00170-005-0111-0openalex-snapshot
Equipment health diagnosis and prognosis using hidden semi-Markov models
inferredcites →https://doi.org/10.1007/s00170-005-0114-xopenalex-snapshot
Feature signature prediction of a boring process using neural network modeling with confidence bounds
inferredcites →https://doi.org/10.1007/s001700170135openalex-snapshot
An Integrated Maintenance Management System for an Advanced Manufacturing Company
inferredcites →https://doi.org/10.1007/s001700170173openalex-snapshot
Intelligent Predictive Decision Support System for Condition-Based Maintenance
inferredcites →https://doi.org/10.1007/s11771-008-0130-8openalex-snapshot
Fault detection of excavator’s hydraulic system based on dynamic principal component analysis
inferredcites →https://doi.org/10.1007/s11837-004-0029-2openalex-snapshot
Predicting remaining life by fusing the physics of failure modeling with diagnostics
inferredcites →https://doi.org/10.1007/s12204-008-0318-yopenalex-snapshot
Dynamic Bayesian network based prognosis in machining processes
inferredcites →https://doi.org/10.1016/0951-8320(94)90010-8openalex-snapshot
Proportional hazards model: a review
inferredcites →https://doi.org/10.1016/b978-0-08-034922-0.50006-6openalex-snapshot
Three Artificial Intelligence Issues in Fault Diagnosis: Declarative Programming, Expert Systems, and Model-Based Reasoning
inferredcites →https://doi.org/10.1016/j.ces.2003.09.012openalex-snapshot
Nonlinear process monitoring using kernel principal component analysis
inferredcites →https://doi.org/10.1016/j.csda.2007.07.003openalex-snapshot
Lifetime analysis based on the generalized Birnbaum–Saunders distribution
inferredcites →https://doi.org/10.1016/j.ejor.2006.01.041openalex-snapshot
Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
inferredcites →https://doi.org/10.1016/j.energy.2004.03.031openalex-snapshot
Automatic diagnostics and prognostics of energy conversion processes via knowledge-based systems
inferredcites →https://doi.org/10.1016/j.fss.2007.07.004openalex-snapshot
Adaptive Mamdani fuzzy model for condition-based maintenance
inferredcites →https://doi.org/10.1016/j.ymssp.2005.09.012openalex-snapshot
A review on machinery diagnostics and prognostics implementing condition-based maintenance
inferredcites →https://doi.org/10.1016/j.ymssp.2006.10.001openalex-snapshot
A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology
inferredcites →https://doi.org/10.1016/s0098-1354(03)00151-0openalex-snapshot
On-line batch process monitoring using a consecutively updated multiway principal component analysis model
inferredcites →https://doi.org/10.1016/s0888-3270(03)00079-7openalex-snapshot
Prognosis of machine health condition using neuro-fuzzy systems
inferredcites →https://doi.org/10.1016/s0893-6080(97)00079-8openalex-snapshot
Fuzzy and neural approaches in engineering
inferredcites →https://doi.org/10.1016/s0967-0661(02)00141-7openalex-snapshot
A process monitoring system based on the Kohonen self-organizing maps
inferredcites →https://doi.org/10.1017/s0890060401154089openalex-snapshot
Fault prognostics using dynamic wavelet neural networks
inferredcites →https://doi.org/10.1057/jors.1978.63openalex-snapshot
Models of Preventive Maintenance
inferredcites →https://doi.org/10.1080/00207540412331327727openalex-snapshot
HMMs for diagnostics and prognostics in machining processes
inferredcites →https://doi.org/10.1080/07408170590929018openalex-snapshot
Residual-life distributions from component degradation signals: A Bayesian approach
inferredcites →https://doi.org/10.1080/07408170600847168openalex-snapshot
Failure event prediction using the Cox proportional hazard model driven by frequent failure signatures
inferredcites →https://doi.org/10.1080/07408170701730818openalex-snapshot
Sensor-driven prognostic models for equipment replacement and spare parts inventory
inferredcites →https://doi.org/10.1080/09537280412331309208openalex-snapshot
A prognostic algorithm for machine performance assessment and its application
inferredcites →https://doi.org/10.1080/10789669.2005.10391123openalex-snapshot
Review Article : Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I
inferredcites →https://doi.org/10.1093/imaman/13.1.3openalex-snapshot
A model to predict the residual life of rolling element bearings given monitored condition information to date
inferredcites →https://doi.org/10.1093/imaman/dpi029openalex-snapshot
Calculation of reliability function and remaining useful life for a Markov failure time process
inferredcites →https://doi.org/10.1109/23.467727openalex-snapshot
Development of an on-line fuzzy expert system for integrated alarm processing in nuclear power plants
inferredcites →https://doi.org/10.1109/72.279188openalex-snapshot
Recurrent neural networks and robust time series prediction
inferredcites →https://doi.org/10.1109/78.91145openalex-snapshot
Isolated-utterance speech recognition using hidden Markov models with bounded state durations
inferredcites →https://doi.org/10.1109/87.508893openalex-snapshot
Stochastic modeling of fatigue crack dynamics for on-line failure prognostics
inferredcites →https://doi.org/10.1109/acc.2005.1470385openalex-snapshot
An integrated approach to bearing fault diagnostics and prognostics
inferredcites →https://doi.org/10.1109/aero.2000.877892openalex-snapshot
Prognosis of faults in gas turbine engines
inferredcites →https://doi.org/10.1109/aero.2000.877920openalex-snapshot
Prognostics, the real issues involved with predicting life remaining
inferredcites →https://doi.org/10.1109/aero.2001.931316openalex-snapshot
Hybrid reasoning for prognostic learning in CBM systems
inferredcites →https://doi.org/10.1109/aero.2004.1368172openalex-snapshot
A model-based approach to prognostics and health management for flight control actuators
inferredcites →https://doi.org/10.1109/aero.2004.1368175openalex-snapshot
Data-driven neural network methodology to remaining life predictions for aircraft actuator components
inferredcites →https://doi.org/10.1109/aero.2007.352872openalex-snapshot
Reasoning Framework for Diagnosis and Prognosis
inferredcites →https://doi.org/10.1109/autest.2001.949467openalex-snapshot
Fault prognosis using dynamic wavelet neural networks
inferredcites →https://doi.org/10.1109/autest.2003.1243596openalex-snapshot
Model-based prognostic techniques [maintenance applications]
inferredcites →https://doi.org/10.1109/autest.2005.1609172openalex-snapshot
Bayesian diagnosis and prognosis using instrument uncertainty
inferredcites →https://doi.org/10.1109/icccas.2005.1495278openalex-snapshot
Fault prediction of boilers with fuzzy mathematics and rbf neural network
inferredcites →https://doi.org/10.1109/icmlc.2004.1380389openalex-snapshot
A combining condition prediction model and its application in power plant
inferredcites →https://doi.org/10.1109/icsmc.2003.1243813openalex-snapshot
An interacting multiple model approach to model-based prognostics
inferredcites →https://doi.org/10.1109/indin.2006.275836openalex-snapshot
A Review of Research in Manufacturing Prognostics
inferredcites →https://doi.org/10.1109/isap.1996.501092openalex-snapshot
An expert system based framework for an incipient failure detection and predictive maintenance system
inferredcites →https://doi.org/10.1109/isuma.1990.151299openalex-snapshot
Uncertainty analysis and grey modeling
inferredcites →https://doi.org/10.1109/mim.2008.4579269openalex-snapshot
Prognostics in Battery Health Management
inferredcites →https://doi.org/10.1109/nafips.2005.1548498openalex-snapshot
Reasoning about Uncertainty in Prognosis: A Confidence Prediction Neural Network Approach
inferredcites →https://doi.org/10.1109/pes.2005.1489277openalex-snapshot
A fuzzy bp approach for diagnosis and prognosis of bearing faults in induction motors
inferredcites →https://doi.org/10.1109/robot.2003.1241660openalex-snapshot
A novel approach to fault diagnostics and prognostics
inferredcites →https://doi.org/10.1109/soli.2008.4686408openalex-snapshot
Identification of nonstationary time series based on SVM-HMM method
inferredcites →https://doi.org/10.1109/tase.2007.910302openalex-snapshot
A Neural Network Degradation Model for Computing and Updating Residual Life Distributions
inferredcites →https://doi.org/10.1109/wicom.2007.1400openalex-snapshot
Decision Support for Maintenance Management Using Bayesian Networks
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00899.xopenalex-snapshot
Regression Models and Life-Tables
inferredcites →https://doi.org/10.1115/1.2795761openalex-snapshot
A Hybrid Prognostic Model Formulation and Health Estimation of Auxiliary Power Units
inferredcites →https://doi.org/10.1115/1.2815585openalex-snapshot
Multivariable Trend Analysis Using Neural Networks for Intelligent Diagnostics of Rotating Machinery
inferredcites →https://doi.org/10.1115/2001-gt-0218openalex-snapshot
A Prognostic Modeling Approach for Predicting Recurring Maintenance for Shipboard Propulsion Systems
inferredcites →https://doi.org/10.1115/detc2005-84095openalex-snapshot
A Predictive Tool for Remaining Useful Life Estimation of Rotating Machinery Components
inferredcites →https://doi.org/10.1115/imece2005-82657openalex-snapshot
A Proportional Hazards Neural Network for Performing Reliability Estimates and Risk Prognostics for Mobile Systems Subject to Stochastic Covariates
inferredcites →https://doi.org/10.1117/12.152553openalex-snapshot
Helicopter gearbox diagnostics and prognostics using vibration signature analysis
inferredcites →https://doi.org/10.1117/12.475502openalex-snapshot
Physically based diagnosis and prognosis of cracked rotor shafts
inferredcites →https://doi.org/10.1117/12.717514openalex-snapshot
A review of fault prognostics in condition based maintenance
inferredcites →https://doi.org/10.1504/ijmpt.2004.003920openalex-snapshot
A neuro-fuzzy approach for estimating mean residual life in condition-based maintenance systems
inferredcites →https://doi.org/10.21236/ada408968openalex-snapshot
A Prognostic Modeling Approach for Predicting Recurring Maintenance for Shipboard Propulsion Systems
inferredcites →https://doi.org/10.2514/6.2008-1837openalex-snapshot
Fatigue Life Prediction Using Multivariate Gaussian Process
inferredcites →https://doi.org/10.3901/jme.2007.10.137openalex-snapshot
Residual life predictions for ball bearing based on neural networks
inferredcites →https://doi.org/10.3901/jme.2007.12.137openalex-snapshot
Adaptive-neuron-based control for the yaw tracking of unmanned helicopter
inferredcites →https://doi.org/10.5555/90757.90758openalex-snapshot
Introduction to Grey system theory
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Interactive Process Drift Detection for Condition-Based Maintenance Using Process Mining Techniques
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Motivations for Automating Process Fault Analysis
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Health Monitoring and Prognosis
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Prediction of Remaining Useful Life
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Condition‐Based Maintenance v ia a Targeted B ayesian Network Meta‐Model
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Edge Computing‐Based Conditional Monitoring
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IoT Application in Condition Monitoring and Fault Diagnosis in Electrical Systems
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Enhanced Machine Condition Monitoring Based on Triboelectric Nanogenerator (TENG): A Review of Recent Advancements
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Hybrid approach for remaining useful life prediction of ball bearings
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Diagnostics and prognostics for complex systems: A review of methods and challenges
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Critical assessment of medical devices on reliability, replacement prioritization and maintenance strategy criterion: Case study of Malaysian hospitals
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Minimum Early Fault Detection Cost Under Quality Control Impact With Waiting Time Reduction in a Feedback Machining System
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Particle filter‐based hybrid damage prognosis considering measurement bias
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Predictive repair scheduling of wind turbine drive‐train components based on machine learning
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A Review of Machinery Diagnostics and Prognostics Implemented on a Centrifugal Pump
inferred← citeshttps://doi.org/10.1007/978-3-030-12846-3_7openalex-snapshot
Prediction of the Remaining Useful Life for Components of Automated Processes
inferred← citeshttps://doi.org/10.1007/978-3-030-20948-3_9openalex-snapshot
A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry
inferred← citeshttps://doi.org/10.1007/978-3-030-29374-1_15openalex-snapshot
Exploring the Relationship Between Data Science and Circular Economy: An Enhanced CRISP-DM Process Model
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Degradation Management at Nuclear Power Plants
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IIoT-Based Prognostic Health Management Using a Markov Decision Process Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-62466-8_32openalex-snapshot
Reasoning Engine for Support Maintenance
inferred← citeshttps://doi.org/10.1007/978-3-030-66770-2_2openalex-snapshot
Challenges of Stream Learning for Predictive Maintenance in the Railway Sector
inferred← citeshttps://doi.org/10.1007/978-3-030-79519-1_3openalex-snapshot
A Structured Approach to Machine Learning Condition Monitoring
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Towards Prognostics and Health Management of Multi-Component Systems with Stochastic Dependence
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Data Driven Maintenance: A Promising Way of Action for Future Industrial Services Management
inferred← citeshttps://doi.org/10.1007/978-3-031-07258-1_24openalex-snapshot
Particle Filter-Based Delamination Shape Prediction in Composites
inferred← citeshttps://doi.org/10.1007/978-3-031-21216-1_66openalex-snapshot
Application of the Prognostic and Health Management to Industrial Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-21828-6_4openalex-snapshot
Artificial Intelligence in Manufacturing Systems
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Integration of Reliability Design, Installed Base, and After-Sales Services for System Availability
inferred← citeshttps://doi.org/10.1007/978-3-031-34020-8_12openalex-snapshot
Condition-Based Maintenance Optimization Under Large Action Space with Deep Reinforcement Learning Method
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Digital Twin Model Development for Condition-Base Maintenance Assessment in Robotic Manufacturing Processes Within a Shipyard
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Decision-Making in Structural Health Monitoring and Predictive Maintenance of Wind Turbines
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Enhancing Predictive Maintenance in Industrial Systems Through Acoustic Monitoring of Servo Motors Using Machine Learning (AI)
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Predictive Maintenance for Servo Motors Using Kafka Streams and Machine Learning Based on Acoustic Microphone
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H∞ Optimal Control for Magnetorheological Suspension Systems via Sum-of-Squares Programming
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Prognostics of Turbofan Engines Using Self-Attention Transformers and Explainable AI Techniques
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Model-Based Prognostics and Health Management of Physical Assets—A Use Case Implementation for Gear Pumps
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Artificial Intelligence-Driven Digital Twins for Engineering Systems: Methodologies, Algorithms, Techniques, and a Predictive Maintenance Case Study
inferred← citeshttps://doi.org/10.1007/978-3-319-09507-3_87openalex-snapshot
Condition Based Maintenance and Operation of Wind Turbines
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Failure Prognosis for Hybrid Systems Based on ARR Residuals
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Knowledge Lost in Data: Organizational Impediments to Condition-Based Maintenance in the Process Industry
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Context Awareness in Predictive Maintenance
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A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises
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Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype
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Fault Diagnostics and Lifetime Prognostics for Phosphor-Converted White LED Packages
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Rotating Machine Prognostics Using System-Level Models
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Addressing Missing Data for Diagnostic and Prognostic Purposes
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Fog Networking for Machine Health Prognosis: A Deep Learning Perspective
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Machine Signature Integrity and Data Trends Monitoring, a Diagnostic Approach to Fault Detection
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Data Mining Techniques for Energy Efficiency Analysis of Discrete Production Lines
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Condition Monitoring for Predictive Maintenance
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Digitalization: Enabler of Systemic Energy Efficiency
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Maintenance Planning Using Condition Monitoring Data
inferred← citeshttps://doi.org/10.1007/978-3-319-92447-2_22openalex-snapshot
Maintenance Service Logistics
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Qualitative Assessment of Machine Learning Techniques in the Context of Fault Diagnostics
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Digitalization: Enabler of Systemic Energy Efficiency
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Industrie 4.0: Strategische Innovation durch Strategische Sensitivität
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Industrie 4.0: Strategische Innovation durch Strategische Sensitivität
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Machine Tool Prognosis for Precision Manufacturing
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Machine Tool Prognosis for Precision Manufacturing
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Performance Degradation Analysis of Doppler Velocity Sensor Based on Inverse Gaussian Process and Poisson Shock
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Type-2 Fuzzy Set Aggregation and Health Status Mining from Condition-Monitoring Applications
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Evaluation of NARX Network Performance on the Maintenance Application of Rotating Machines
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Advances in Smart Maintenance for Sustainable Manufacturing in Industry 4.0
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A Multi-Agent AI Predictive Maintenance System Integrating Data Analysis, Diagnostics, and Scheduling for Smart Factories
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Anomaly Detection in Bearing Temperature Data of Industrial Centrifuge Device Using One-Class SVM for Predictive Maintenance in the Mining Sector
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Enhancement of Highway Asset Management Using GIS: Casy Study
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Prognostics and Health Management for Cyber-Physical System Resilience: A Security and Reliability Perspective
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Throughput-driven condition-based maintenance for frequently reconfigured mass production equipment
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Hybrid prognostic method applied to mechatronic systems
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Nonparametric time series modelling for industrial prognostics and health management
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Maintenance policy optimization—literature review and directions
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A predictive maintenance approach based on real-time internal parameter monitoring
inferred← citeshttps://doi.org/10.1007/s00170-017-0916-7openalex-snapshot
Online machine health prognostics based on modified duration-dependent hidden semi-Markov model and high-order particle filtering
inferred← citeshttps://doi.org/10.1007/s00170-017-1268-zopenalex-snapshot
Research on a configurable method for fault diagnosis knowledge of machine tools and its application
inferred← citeshttps://doi.org/10.1007/s00170-018-2093-8openalex-snapshot
Initiating predictive maintenance for a conveyor motor in a bottling plant using industry 4.0 concepts
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A neural network filtering approach for similarity-based remaining useful life estimation
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CEEMD-assisted bearing degradation assessment using tight clustering
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A predictive maintenance cost model for CNC SMEs in the era of industry 4.0
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Learning via acceleration spectrograms of a DC motor system with application to condition monitoring
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Failure mode classification for condition-based maintenance in a bearing ring grinding machine
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Digital twin-driven fault diagnosis for CNC machine tool
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Robust tool condition monitoring in Ti6Al4V milling based on specific force coefficients and growing self-organizing maps
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State-of-the-art review of applications of image processing techniques for tool condition monitoring on conventional machining processes
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A review of diagnostic and prognostic capabilities and best practices for manufacturing
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A joint particle filter and expectation maximization approach to machine condition prognosis
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A hybrid fault diagnosis method for mechanical components based on ontology and signal analysis
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Impacts of wireless sensor networks strategies and topologies on prognostics and health management
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Maintenance optimization for a multi-unit system with digital twin simulation
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Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
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Few-shot RUL estimation based on model-agnostic meta-learning
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Smart retrofitting in maintenance: a systematic literature review
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Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)
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The numerical modeling of rotor–stator rubbing in rotating machinery: a comprehensive review
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Preventive Maintenance Policies for Equipment Under Condition Monitoring Based on Two Types of Failure Rate
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Comparison of Computational Prognostic Methods for Complex Systems Under Dynamic Regimes: A Review of Perspectives
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EEMD assisted supervised learning for the fault diagnosis of BLDC motor using vibration signal
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Prognostic Model Development with Missing Labels
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Deep Boltzmann machine based condition prediction for smart manufacturing
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ROC with Cost Pareto Frontier Feature Selection Using Search Methods
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An Energy-based approach to condition monitoring of industrial processes
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Energy-based Fault Detection for an Autothermal Reformer
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Fault Prognostics of Micro-Electro-Mechanical Systems Using Particle Filtering**This work has been supported by the Région Franche-Comté and the ACTION Labex project (contract ANR-11-LABX-0001-01)
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