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A Comprehensive Review of Real-time Monitoring and Predictive Maintenance Techniques: Revolutionizing Natural Fibre Composite Materials Maintenance with IoT
Felix Sahayaraj Arockiasamy1, Indran Suyambulingam2, Iyyadurai Jenish3, Divya Divakaran4, Sanjay Mavinkere Rangappa5, Suchart Siengchin6.
Integrating the Internet of Things (IoT) and natural fiber-reinforced polymer composites (NFPCs) can revolutionize monitoring and maintaining composites. By incorporating sensors and wireless communication technology into the composites, real-time monitoring and predictive maintenance can be achieved. This review provides a comprehensive overview of the current state-of-the-art in the use of IoT for real-time monitoring and predictive maintenance of NFPCs. This paper covers the various types of sensors used, IoT networks and protocols employed, and data analysis techniques to detect potential issues and predict failures. This paper also highlights the benefits and challenges of using IoT for composite maintenance and this technology’s future directions and potential applications. This review provides valuable insights for researchers, engineers, and practitioners in composites, the IoT, and predictive maintenance.
Affiliation:
- KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamil Nadu 641402, India
- Sirindhorn International Thai-German Graduate School of Engineering, Thailand
- King Mongkut's University of Technology North Bangkok, Thailand
- Sirindhorn International Thai-German Graduate School of Engineering, Thailand
- Sirindhorn International Thai-German Graduate School of Engineering, Thailand
- Sirindhorn International Thai-German Graduate School of Engineering, Thailand
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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3 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.1) |
Rank |
Q3 (Agricultural and Biological Sciences (all)) Q3 (Environmental Science (all)) Q3¬¬- (Computer Science (all)) Q3 (Chemical Engineering (all)) |
Additional Information |
SJR (0.174) |
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