Integrating IoT and Predictive Analytics for Remote Asset Health Monitoring
The rapid evolution of the Internet of Things (IoT) has transformed industrial asset management by enabling continuous monitoring and predictive maintenance of critical infrastructure systems. However, existing IoT solutions often require integrating multiple systems, leading to challenges in data compatibility, system interoperability, and management complexity. This paper presents Sentinel Motion, an IoT -enabled technology developed by Ridgetop Group, designed to address these challenges through a comprehensive, integrated solution for asset health monitoring. Aligned with the IEEE 1856–2017 PHM Standard, Sentinel Motion combines smart sensors, data management tools, and advanced software platforms to enhance asset reliability across various industries. The paper explores its applications in sectors such as railroads and introduces the integration of Fiber Bragg Grating (FBG) sensors for structural health monitoring, further extending the capabilities of IoT in industrial maintenance.
Authors
- Arsh Nadkarni
- Wyatt Pena
- Joyce Fung (ORCID: https://orcid.org/0000-0002-6074-551X)
- He Zhang (ORCID: https://orcid.org/0000-0001-9049-4080)
- Xiaonan Yin (ORCID: https://orcid.org/0000-0002-4688-9496)
- Gabriela Galvan
Institutions
- Ridgetop Group (United States) (US)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/phm-beijing63284.2024.10874715
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00