Predictive Maintenance and Reliability Modeling of Rural Broadband Networks: A Condition-Based Study of BharatNet Infrastructure
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This study explores the operational status and reliability of rural broadband infrastructure in 113 Gram Panchayats (GPs) in the Puducherry district, focusing on critical assets such as Optical Network Terminals (ONT), Central Control Units (CCU), battery systems, and solar panels, using a condition-based performance evaluation. Results from data analysis in SPSS show that 87.6% of GPs are operational (\"UP\"), but technical issues, including high fault rates in earthing and solar systems, are still prevalent, highlighting the need for predictive maintenance and real-time monitoring to ensure uninterrupted rural connectivity in support of India's digital empowerment objectives.
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References
Hagen, D., & Andersen, S. (2024). Asset Management, Condition Monitoring and Digital Twin: Damage Detection and Virtual Inspection.
Larsson, J. (2023). Data Use and Data Needs in Critical Infrastructure Risk Analysis.
Pfeffer, J., & Salancik, G. R. (1978). The External Control of Organizations: A Resource Dependence Perspective. Harper & Row.
Perriment, R., et al. (2023). Lead-acid battery lifetime extension in solar home systems.
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press
Shao, C., et al. (2024). Machine learning in short-reach optical systems: a comprehensive survey.
Wei, Y. (2023). Prediction of State of Health of Lithium-Ion Battery Using Health Index Informed Attention Model.

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