Jassim M. Abdul-Jabbar

University of Mosul, Iraq University College

Papers

Total Citations

H-Index

About

Jassim M. Abdul-Jabbar is a researcher specializing in fault detection and diagnosis for robotic systems, with a particular focus on industrial and precision-driven applications. His work centers on developing real-time diagnostic frameworks that enhance the reliability and operational performance of robot arms, which are critical in both electrical and mechanical domains. Abdul-Jabbar’s major contributions include the application of advanced signal processing techniques—specifically the Slantlet Transform and Discrete Wavelet Transform—to identify and classify faults in robotic systems. His 2022 paper on using the Slantlet transform for fault diagnosis in robot arms has garnered 3 citations, while his more recent 2025 study on real-time fault diagnosis in industrial robotics, integrating both DWT and SLT, has already received 2 citations. This latter work is particularly notable for its hardware-based approach, addressing the growing need for precision in automated environments. Abdul-Jabbar’s research is impactful for students and engineers seeking to improve robotic system robustness through innovative diagnostic methods, bridging the gap between theoretical signal processing and practical industrial applications.