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Predictive Maintenance in the era of Internet-of-Things is envisioned to be an important functionality of consumer electronics along with many other application areas. Challenges for Predictive Maintenance within Internet-of-Things ecosystem include heterogeneity, scalability, identification, constrained resources, mobility, security, and privacy. In this paper, we propose a reference model for Predictive Maintenance of commercial appliances, the digital twins of which interact socially via Distributed Ledger Technologies.
Altun et al. (Fri,) studied this question.