Proposal of a Cloud-Based System for Monitoring the Health of Gensets

This paper presents a cloud-based system architecture for monitoring the health of diesel generator sets (gensets), whose purpose is to achieve better management of electricity generation in microgrids by predicting possible failures in the system. In our approach, we collect about thirty-eight different electrical and mechanical parameters (e.g., current, active and reactive power, oil pressure, coolant temperature) from the genset controllers for deeper analysis in a big data ecosystem. Moreover, we introduce the genset gateway, a component of the system architecture to provide local processing, especially in cases of absence of Internet connection, and also to simplify the communication between genset controllers with heterogeneous network interfaces and the core of the system.