IoT based condition monitoring of generators and predictive maintenance

This paper presents a IOT (Internet of Things) based solution for condition monitoring and predictive maintenance of generator set by establishing a communication between Electronic Hardware and Cloud Computing, popularly known as IOT based applications used especially for online and real time monitoring. Generator is heart of any power system used for power generation. Generally Generator suffers from abnormal conditions such as over loading and vibrations, to predict these abnormalities an IoT based system is proposed to avoid unnecessary shutdowns. In the implementation of IOT based system, different sensors such as vibration sensors, current, temperature sensors are used to capture some essential parameters to monitor health condition of generator. Faults are being simulated using IOT based hardware equipment for test purpose and to create alters to the respected field operator on web page application. The signal obtained from vibration sensors of time domain are converted in to frequency domain by using FFT algorithm in gateway and waveform patterns are analyzed for fault detection. Edge analytics has been carried out locally and efficient early warning system was created based on trends observed on web application.