Kamal Medjaher
Orcid: 0000-0001-7895-5569
According to our database1,
Kamal Medjaher
authored at least 50 papers
between 2004 and 2023.
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Bibliography
2023
Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators.
Comput. Ind., October, 2023
Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects.
Adv. Eng. Informatics, October, 2023
Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations.
J. Intell. Manuf., April, 2023
Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations.
J. Intell. Manuf., April, 2023
A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines.
Artif. Intell. Rev., April, 2023
Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations.
Comput. Ind., 2023
Robust Data-Driven Fault Diagnostics for Rotating Machinery Operating under Varying Working Conditions.
Proceedings of the 9th International Conference on Control, 2023
2022
Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems.
Reliab. Eng. Syst. Saf., 2022
Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator.
Proceedings of the 8th International Conference on Control, 2022
Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network.
Proceedings of the 8th International Conference on Control, 2022
2021
System-Level Prognostics Under Mission Profile Effects Using Inoperability Input-Output Model.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Syst. J., 2021
RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques.
J. Intell. Manuf., 2021
2020
Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics.
J. Signal Process. Syst., 2020
Condition monitoring and prediction of solution quality during a copper electroplating process.
J. Intell. Manuf., 2020
A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values.
Eng. Appl. Artif. Intell., 2020
2019
Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment.
IEEE Trans. Instrum. Meas., 2019
A new dynamic predictive maintenance framework using deep learning for failure prognostics.
Reliab. Eng. Syst. Saf., 2019
Feature selection and fault-severity classification-based machine health assessment methodology for point machine sliding-chair degradation.
Qual. Reliab. Eng. Int., 2019
J. Intell. Manuf., 2019
J. Intell. Manuf., 2019
Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.
Expert Syst. Appl., 2019
Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process.
Proceedings of the 6th International Conference on Control, 2019
Data preparation and preprocessing for broadcast systems monitoring in PHM framework.
Proceedings of the 6th International Conference on Control, 2019
2017
Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks.
CoRR, 2017
CoRR, 2017
Proceedings of the 4th International Conference on Control, 2017
2016
A hybrid prognostics approach for MEMS: From real measurements to remaining useful life estimation.
Microelectron. Reliab., 2016
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction.
J. Intell. Manuf., 2016
CoRR, 2016
Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets.
Comput. J., 2016
Proceedings of the Dependability Engineering and Complex Systems, 2016
Skeleton of a generic approach for the generation of health indicators of physical systems.
Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016
2015
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression.
IEEE Trans. Instrum. Meas., 2015
Health assessment and life prediction of cutting tools based on support vector regression.
J. Intell. Manuf., 2015
Dependability of wireless sensor networks for industrial prognostics and health management.
Comput. Ind., 2015
Accelerated lifetime tests and failure analysis of an electro-thermally actuated MEMS valve.
Proceedings of the 27th International Conference on Microelectronics, 2015
2014
Microelectron. Reliab., 2014
2013
Remaining useful life estimation based on nonlinear feature reduction and support vector regression.
Eng. Appl. Artif. Intell., 2013
Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data.
Proceedings of the 12th European Control Conference, 2013
2012
A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models.
IEEE Trans. Reliab., 2012
Remaining Useful Life Estimation of Critical Components With Application to Bearings.
IEEE Trans. Reliab., 2012
2010
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010
2009
Simul. Model. Pract. Theory, 2009
2007
Int. J. Model. Identif. Control., 2007
2006
Simul. Model. Pract. Theory, 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2004
Component-Based Modelling of Thermofluid Systems for Sensor Placement and Fault Detection.
Simul., 2004