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Ali M. Rushdi

Publications (2)

Characterization of Time to Failure in Prognostics: Brief Tutorial Guide to Prognostics Professionals

Ali M. Rushdi & Hasan A. Bjaili · Journal of Advances in Mathematics and Computer Science · 2017

As a random variable, the survival time or Time to Failure (TTF) of a certain component or system can be fully characterized by its probability density function (pdf) fT (t) or its Cumulative Distribution Function (CDF) FT (t). Moreover, it might be also identified by transform f...

Open access Research Article 10.9734/JAMCS/2017/37700

Comparison of State-Estimation Algorithms for a Noise-Injected Lithium-ion Battery System

Hasan A. Bjaili, Ali M. Rushdi & Muhammad Moinuddin · Journal of Advances in Mathematics and Computer Science · 2017

This paper deals with one of the most prominent problems in industrial prognostics, namely the estimation of the Remaining Useful Life (RUL) of the most popular industrial battery, viz., the lithium-ion battery. The paper presents a state-space model of the battery, and then esti...

Open access Research Article 10.9734/BJMCS/2017/34222