Version 1
: Received: 4 September 2024 / Approved: 5 September 2024 / Online: 6 September 2024 (05:48:52 CEST)
How to cite:
Olaoluwa, F.; Potter, K. Predictive Maintenance for Critical Infrastructure Security. Preprints2024, 2024090413. https://doi.org/10.20944/preprints202409.0413.v1
Olaoluwa, F.; Potter, K. Predictive Maintenance for Critical Infrastructure Security. Preprints 2024, 2024090413. https://doi.org/10.20944/preprints202409.0413.v1
Olaoluwa, F.; Potter, K. Predictive Maintenance for Critical Infrastructure Security. Preprints2024, 2024090413. https://doi.org/10.20944/preprints202409.0413.v1
APA Style
Olaoluwa, F., & Potter, K. (2024). Predictive Maintenance for Critical Infrastructure Security. Preprints. https://doi.org/10.20944/preprints202409.0413.v1
Chicago/Turabian Style
Olaoluwa, F. and Kaledio Potter. 2024 "Predictive Maintenance for Critical Infrastructure Security" Preprints. https://doi.org/10.20944/preprints202409.0413.v1
Abstract
Predictive maintenance (PdM) represents a transformative approach to ensuring the security and reliability of critical infrastructure systems. This proactive maintenance strategy leverages advanced data analytics, machine learning, and sensor technology to anticipate and address potential failures before they occur. By continuously monitoring the health of infrastructure components and analyzing performance data, predictive maintenance enables timely interventions, minimizes unplanned downtimes, and enhances overall system resilience. This paper explores the application of predictive maintenance in safeguarding critical infrastructure, focusing on its impact on security, operational efficiency, and cost-effectiveness. Case studies demonstrate how PdM has been successfully implemented across various sectors, including transportation, energy, and utilities, highlighting its role in mitigating risks and extending the lifespan of essential assets. The findings underscore the importance of integrating predictive maintenance into security strategies to protect vital infrastructure from emerging threats and ensure uninterrupted service delivery.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
