J. Janarthanan

National Institute of Technology Tiruchirappalli

Papers

Total Citations

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About

J. Janarthanan is a researcher whose work sits at the intersection of robotics, artificial intelligence, and fault-tolerant control systems. His primary contributions center on developing intelligent, hybrid algorithms for fault detection and isolation (FDI) in industrial robot manipulators. Recognizing the critical need for autonomous safety and self-diagnostics in robots operating in remote or hazardous environments, Janarthanan pioneered the integration of fuzzy logic with artificial neural networks. His most cited work, "A hybrid fuzzy logic artificial neural network algorithm-based fault detection and isolation for industrial robot manipulators" (2007, 24 citations), established a novel framework that significantly improves the speed and accuracy of identifying system failures, thereby reducing costly downtime. He further refined these concepts in his 2008 study on neuro-fuzzy approaches for fault diagnosis (14 citations). By combining the interpretability of fuzzy systems with the learning capability of neural networks, Janarthanan’s research provides a robust, online solution for real-time monitoring and repair, directly enhancing the reliability and operational efficiency of automated industrial systems.