ANDROID/TIZEN BASED SYSTEM FOR PROGNOSIS AND DIAGNOSIS OF ELECTRICAL MACHINES

摘要

The present invention relates to system using an Android/tizen interface installed on a handheld device preferably a Smartphone or tablet PC which integrates multiple artificial intelligence and signal processing techniques to detect the different faults interrupting smooth performance of electrical machinery·in a very short span of time. In the present invention, the RMS (root mean square) components of the stator currents of an electrical machine are fed in to knowledge based system for prognosis of a machine