Citation Impact
Citing Papers
A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes
2012
Hidden semi-Markov models
2009
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
An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring
2009
Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy
2017
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
A parameter estimation method for a condition-monitored device under multi-state deterioration
2012
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 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
Remaining useful life estimation – A review on the statistical data driven approaches
2010 Standout
Current status of machine prognostics in condition-based maintenance: a review
2010
A novel hybrid decision making approach for the strategic selection of wind energy projects
2021 Standout
Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations
2016
Remaining useful life estimation in prognostics using deep convolution neural networks
2017 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
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
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
2013 Standout
Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals
2019
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
An Intelligent Prognostic System for Gear Performance Degradation Assessment and Remaining Useful Life Estimation
2014
Short-term wind speed prediction model based on GA-ANN improved by VMD
2019 Standout
Statistical fault diagnosis based on vibration analysis for gear test-bench under non-stationary conditions of speed and load
2011 Standout
An overview of time-based and condition-based maintenance in industrial application
2012 Standout
Condition monitoring and fault diagnosis of planetary gearboxes: A review
2013
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
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
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy
2017
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
Works of Jonathan Keller being referenced
Detection of a fatigue crack in a UH-60A planet gear carrier using vibration analysis
2006
Equipment health diagnosis and prognosis using hidden semi-Markov models
2005
Experimental investigation of bearing slip in a wind turbine gearbox during a transient grid loss event
2016