Khurram Kamal

National University of Sciences and Technology

Papers

Total Citations

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About

Khurram Kamal is a researcher at the forefront of intelligent fault diagnosis and condition monitoring for industrial machinery, with a particular focus on hydraulic systems. His work addresses the critical need for predictive maintenance in sectors ranging from manufacturing and robotics to port operations, where hydraulic equipment is indispensable. Kamal’s major contribution lies in the application of artificial intelligence for fault classification, as demonstrated in his highly cited 2023 paper, "Fault Classification for Cooling System of Hydraulic Machinery Using AI," which has garnered 8 citations. This research provides a practical, data-driven framework for detecting and classifying faults in cooling systems, directly enhancing operational reliability and reducing downtime. By bridging the gap between traditional mechanical engineering and modern AI techniques, Kamal is helping to shape the future of smart industrial maintenance. His work is particularly notable for its direct industrial applicability, offering tangible solutions for the growing demand for efficient and robust hydraulic systems in critical infrastructure.