Abstract
This paper presents the implementation of a reference architecture for Cyber Physical Systems (CPS) to support Condition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS Reference Architecture is implemented to support predictive maintenance of clutch-brake assets fleet, and includes the data analysis techniques and algorithms implemented at platform level to facilitate predictive maintenance activities. These technologies are (1) Root Cause Analysis powered by Attribute Oriented Induction Clustering and (2) Remaining Useful Life powered by Time Series Forecasting. The work has been conducted in a real use case within the EU project MANTIS.
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