Citation Impact
Citing Papers
An approximate algorithm for prognostic modelling using condition monitoring information
2010
Knowledge and intelligent computing system in medicine
2009 Standout
A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection
2011
A biomedical system based on hidden Markov model for diagnosis of the heart valve diseases
2006
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Prognosis of Defect Propagation Based on Recurrent Neural Networks
2011
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
Detection and diagnosis of bearing and cutting tool faults using hidden Markov models
2011
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
2018
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Recent applications of big data analytics in railway transportation systems: A survey
2018 Standout
Multi-category micro-milling tool wear monitoring with continuous hidden Markov models
2008
A review on machinery diagnostics and prognostics implementing condition-based maintenance
2005 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
A model for real-time failure prognosis based on hidden Markov model and belief rule base
2010
Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes
2020
Condition monitoring of wind turbines: Techniques and methods
2012 Standout
System health monitoring and prognostics — a review of current paradigms and practices
2006
Rolling element bearing diagnostics—A tutorial
2010 Standout
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
2017 Standout
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
Remaining useful life estimation – A review on the statistical data driven approaches
2010 Standout
Nonlinear system identification in structural dynamics: 10 more years of progress
2016 Standout
Current status of machine prognostics in condition-based maintenance: a review
2010
On-line parameter estimation for a failure-prone system subject to condition monitoring
2004
Rotating machinery prognostics: State of the art, challenges and opportunities
2008 Standout
Advanced monitoring of machining operations
2010 Standout
A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology
2006
Remaining useful life estimation in prognostics using deep convolution neural networks
2017 Standout
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
A condition-based maintenance policy for multi-component systems with a high maintenance setup cost
2015
A review on condition-based maintenance optimization models for stochastically deteriorating system
2016 Standout
Stochastic modelling and analysis of degradation for highly reliable products
2014 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
2013 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Filters and parameter estimation for a partially observable system subject to random failure with continuous-range observations
2004
Battery Lifetime Prognostics
2020 Standout
Study on Hankel matrix-based SVD and its application in rolling element bearing fault diagnosis
2014
An overview of time-based and condition-based maintenance in industrial application
2012 Standout
Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
2006
Equipment health diagnosis and prognosis using hidden semi-Markov models
2005
Health-State Estimation and Prognostics in Machining Processes
2010
Deep learning and its applications to machine health monitoring
2018 Standout
HMMs for diagnostics and prognostics in machining processes
2005
An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting tools
2018
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Recursive filters for a partially observable system subject to random failure
2003
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Data-driven prediction of battery cycle life before capacity degradation
2019 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
A novel approach to equipment health management based on auto-regressive hidden semi-Markov model (AR-HSMM)
2008
Natural computing for mechanical systems research: A tutorial overview
2010
A summary of fault modelling and predictive health monitoring of rolling element bearings
2015
A Bayesian recursive framework for ball-bearing damage classification in rotating machinery
2016
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
2018
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
2016 Standout
Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis
2019 Standout
Data-driven smart manufacturing
2018 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction
2010
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Dan McCarthy being referenced
CONDITION-BASED MAINTENANCE OF MACHINES USING HIDDEN MARKOV MODELS
2000