Browsing by Author "Ram Mohana Reddy, G."

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    Reliability Analysis Using Bayesian Belief Network on Drone System: A Case Study
    (Institute of Electrical and Electronics Engineers Inc., 2024) Das, M.; Mohan, B.R.; Ram Mohana Reddy, G.; Chhaparwal, E.; Krishna Kumar, K.; Chowdhury, S.; Sharma, S.
    Ensuring the reliability of software components is of paramount importance in safety-critical systems. Grave consequences might occur if software failures in such systems. Hence, predicting software reliability is important in these systems. This research uses Bayesian Belief Network(BBN) and leverages historical failure data to find fault interdependencies, giving much more insights than methodologies like Fault Tree Analysis (FTA) and Reliability Block Diagrams (RBD). By comparing BBNs with these traditional methods, the research shows the dynamic capabilities of BBNs. BBN also shows the capability of using real-time data and machine learning together to increase the software reliability of the software components, making this system much safer. © 2024 IEEE.
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    Safety Analysis of Shutdown System in Nuclear Power Plants through Petri Nets
    (Institute of Electrical and Electronics Engineers Inc., 2024) Das, M.; Mohan, B.R.; Ram Mohana Reddy, G.; Abhishek; Kumar, A.; Kumar, P.; Khan, J.
    Addressing the critical need for rigorous safety analysis, the research focuses on the intricate shutdown mechanisms, particularly the Rod Control System and Poison Injection System. The methodology commenced with exhaustive system requirements gathering to grasp the operational nuances and emergency protocols. A meticulous Petri Net representation followed, encapsulating system components and concurrent processes within a cohesive model. The framework facilitated rigorous safety checks, formal verification, and simulation-based o ptimization. Through iterative design and validation against established research, the model underwent continuous refinement. The findings illuminate the robustness of safety protocols and offer a transformative outlook on shutdown procedures, laying a foundation for further research and practical implementation to secure NPP operations. © 2024 IEEE.