Citation Impact
Citing Papers
Predicting component reliability and level of degradation with complex-valued neural networks
2013
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing
2018
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models
2017
Machine Fault Diagnosis and Prognosis: The State of The Art
2009
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
Vertical and horizontal integration systems in Industry 4.0
2018 Standout
Investigation on Spectral Structure of Gearbox Vibration Signals by Principal Component Analysis for Condition Monitoring Purposes
2011
Recent applications of big data analytics in railway transportation systems: A survey
2018 Standout
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
2018
A review on data-driven fault severity assessment in rolling bearings
2017
A review on machinery diagnostics and prognostics implementing condition-based maintenance
2005 Standout
Condition monitoring of wind turbines: Techniques and methods
2012 Standout
Digital twin modeling
2022 Standout
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Industry 4.0 technologies: Implementation patterns in manufacturing companies
2019 Standout
Nonlinear-drifted Brownian motion with multiple hidden states for remaining useful life prediction of rechargeable batteries
2017
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
Rotating machinery prognostics: State of the art, challenges and opportunities
2008 Standout
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
A future possibility of vibration based condition monitoring of rotating machines
2012
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
Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study
2019
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Battery Lifetime Prognostics
2020 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
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Evaluation Of State Of Rolling Bearings Mounted In Vehicles With Use Of Vibration Signals
2015
Deep learning and its applications to machine health monitoring
2018 Standout
A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
2020
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
2016 Standout
Prognostics and Health Management of Bearings Based on Logarithmic Linear Recursive Least-Squares and Recursive Maximum Likelihood Estimation
2017
Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings
2017
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring
2019
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0
2020
Works of S. Radkowski being referenced
Use of the higher spectra in the low-amplitude fatigue testing
2010
ON-LINE CONDITION MONITORING OF A POWER TRANSMISSION UNIT OF A RAIL VEHICLE
2003
Geometrical method of selection of features of diagnostic signals
2005
A Model-Based Method for Remaining Useful Life Prediction of Machinery
2016