IoT enabled predictive maintenance of diesel generator in the context to Industry 4.0

Abstract

Diesel Generators are promising secondary source of power to get uninterrupted power supply in most of the commercial and residential establishments. The DG is a hybrid machine consisting of a diesel engine and an electric generator to generate required electrical energy. There is a need to improve the efficiency of the alternative power source by monitoring critical machine parameters in a regular basis. Moreover, Internet of Things (IoT) based Condition Monitoring Systems (CMS) has been replaced the traditionally used maintenance process of machines. Similarly, predictive maintenance is a crucial aspect in industry 4.0 where the full functionality can be well understood by exploiting the implementation of IoT enabled Remote Monitoring (RM). In this article, a scheme for real-time monitoring of Diesel Generator (DG) parameters is discussed. Further, monitoring and analysis of critical parameters such as engine speed, voltage and current generated, power factor, coolant, fuel and battery status in a DG are presented in this research.