Abdel Ouahab Ghrieb

Papers

Total Citations

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About

Abdel Ouahab Ghrieb is a researcher specializing in intelligent fault detection and control reconfiguration for industrial robotic systems. His work centers on enhancing the reliability and safety of robot manipulators, particularly through the application of adaptive neuro-fuzzy inference systems (ANFIS) and hardware-in-the-loop implementations. In his 2017 study, Ghrieb introduced a supervision framework for two-degree-of-freedom industrial manipulators, capable of detecting viscous friction faults at robot joints and enabling real-time control reconfiguration to maintain uninterrupted operation. This approach demonstrates a practical integration of soft computing and robotics for fault-tolerant control. His 2019 contribution further advances the field by presenting a novel fault detection method implemented on hardware using Xilinx System Generator (XSG), bridging the gap between algorithmic development and real-world deployment. Though each of these key papers has garnered 3 citations, their impact lies in addressing critical challenges in industrial automation—specifically, ensuring operational continuity and safety in the presence of mechanical faults. Ghrieb’s work is particularly relevant for researchers and engineers developing robust, intelligent control systems for manufacturing and robotics applications.