Distributed motor current signature analysis in an IoT environment

Over the past two decades Motor Current Signature Analysis(MCSA) has been used to diagnose motor faults in absence of vibration sensors. MCSA provides a set of simple diagnostic rules that are easily implementable with modern data acquisition and automation systems such as cloud or IoT based systems. This diagnostic method, however, has not been widespread as a trusted method of condition monitoring in today’s industry. The paper investigates the influence of propagation of fault signals in industrial networks and suggest a set of guidelines for the analysis of distributed observations to improve the reliability and quality of diagnosis considering the circuit topology of the electrical motors.