Kamal Medjaher

According to our database1, Kamal Medjaher authored at least 22 papers between 2010 and 2019.

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



In proceedings 
PhD thesis 


On csauthors.net:


A new dynamic predictive maintenance framework using deep learning for failure prognostics.
Rel. Eng. & Sys. Safety, 2019

Feature selection and fault-severity classification-based machine health assessment methodology for point machine sliding-chair degradation.
Quality and Reliability Eng. Int., 2019

Post-prognostics decision making in distributed MEMS-based systems.
J. Intelligent Manufacturing, 2019

A SAW wireless sensor network platform for industrial predictive maintenance.
J. Intelligent Manufacturing, 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.
Computers in Industry, 2019

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.
Microelectronics Reliability, 2016

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction.
J. Intelligent Manufacturing, 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. Instrumentation and Measurement, 2015

Health assessment and life prediction of cutting tools based on support vector regression.
J. Intelligent Manufacturing, 2015

Dependability of wireless sensor networks for industrial prognostics and health management.
Computers in Industry, 2015

Condition assessment and fault prognostics of microelectromechanical systems.
Microelectronics Reliability, 2014

Feature Evaluation for Effective Bearing Prognostics.
Quality and Reliability Eng. Int., 2013

Remaining useful life estimation based on nonlinear feature reduction and support vector regression.
Eng. Appl. of AI, 2013

Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data.
Proceedings of the European Control Conference, 2013

A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models.
IEEE Trans. Reliability, 2012

Remaining Useful Life Estimation of Critical Components With Application to Bearings.
IEEE Trans. Reliability, 2012

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