Kamal Medjaher

According to our database1, Kamal Medjaher authored at least 40 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


System-Level Prognostics Under Mission Profile Effects Using Inoperability Input-Output Model.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Degradation Modeling and Uncertainty Quantification for System-Level Prognostics.
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

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

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

Post-prognostics decision making in distributed MEMS-based systems.
J. Intell. Manuf., 2019

A SAW wireless sensor network platform for industrial predictive maintenance.
J. Intell. Manuf., 2019

Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.
Expert Syst. Appl., 2019

Reliable diagnostics using wireless sensor networks.
Comput. Ind., 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

Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks.
CoRR, 2017

Dependability of Sensor Networks for Industrial Prognostics and Health Management.
CoRR, 2017

Experimental monitoring data for prognostics and health management of MEMS.
Proceedings of the 4th International Conference on Control, 2017

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

Resiliency in Distributed Sensor Networks for PHM of the Monitoring Targets.
CoRR, 2016

Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets.
Comput. J., 2016

Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor.
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

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

Condition assessment and fault prognostics of microelectromechanical systems.
Microelectron. Reliab., 2014

Feature Evaluation for Effective Bearing Prognostics.
Qual. Reliab. Eng. Int., 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

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

A mixture of Gaussians Hidden Markov Model for failure diagnostic and prognostic.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010

Bond graph model of a vertical U-tube steam condenser coupled with a heat exchanger.
Simul. Model. Pract. Theory, 2009

Reconfiguration of an industrial steam generator using bond graph modelling.
Int. J. Model. Identif. Control., 2007

Diagnostic bond graphs for online fault detection and isolation.
Simul. Model. Pract. Theory, 2006

Model Based Fault Detection of Backlash in Mechatronic Test Bench.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Component-Based Modelling of Thermofluid Systems for Sensor Placement and Fault Detection.
Simul., 2004