Power management of a self-powered multi-parameter wireless sensor for IoT application

This paper proposes a power management system for a self-powered wireless sensor that is designed for health monitoring of electric machines through analysis of the recorded vibration and temperature. Implementation of Internet of Things permits use of the monitoring methods based on machine learning and artificial-intelligence (AI). In order to accommodate a versatile and feasible implementation of such monitoring system, a self-powered multi-sensor wireless platform is desired. The proposed power management is based on an analog realization, which has low power consumption and by the virtue of the device multiplexing (i.e. energy harvesting and sensing) technology reduces the cost. A simple and effective control method is introduced and experimental results illustrating a monitoring time of the sensor of 19 seconds is captured.