Yahia Kourd

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About

Yahia Kourd is a researcher specializing in fault detection, diagnosis, and fault-tolerant control for industrial robotic systems, with a particular emphasis on manipulator arms. His work integrates advanced computational intelligence, notably Adaptive Neuro-Fuzzy Inference Systems (ANFIS), to supervise and ensure the operational continuity of robots in the presence of mechanical faults. A key contribution is his development of a supervision framework for two-degree-of-freedom industrial manipulators, which detects viscous friction faults at robot joints and triggers real-time control reconfiguration to maintain safe, uninterrupted operation—even under faulty conditions. This approach, detailed in his 2017 study, has garnered 3 citations, reflecting its niche but growing relevance in the field of industrial automation. Kourd further extended his research into hardware implementation, as seen in his 2019 work using Xilinx System Generator (XSG) to deploy a novel fault detection method on robotic manipulators, bridging the gap between theoretical algorithms and practical, embedded systems. While his citation counts are modest, his contributions are foundational for researchers and engineers working on resilient, intelligent robotic systems in manufacturing and automation.