Muthulakshmi  , 
    Feed Forward Back Propagation Artificial Neural Network Based  Faulty Switch Identification of the Three Phase Three Level Converter Based Drive for the Three Phase Induction Motor,
    Asian Journal of Information Technology,
    Volume 15,Issue 13,
    2016,
    Pages 2108-2115,
    ISSN 1682-3915,
    ajit.2016.2108.2115,
    (https://makhillpublications.co/view-article.php?doi=ajit.2016.2108.2115)
    Abstract: Three phase induction motors are the work horse in the electrically driven industrial applications. The modern day power electronic control systems have contributed much for the speed, torque and power control schemes of the three phase induction motor drives. In this study, an online faulty switch indication method is designed and demonstrated using simulations in the Matlab/Simulink environment. An experimental verification is also presented that has been developed in the ARM processor LPC 2148. The back propagation feed forward artificial neural network has been the core of the system in identification of the faulty switch based on a pattern mapping scheme considering the current drawn by the motor and the terminal voltage across the motor.
    Keywords: Uninterrupted Power Supply UPS;Static Compensator (STATCOM);Feed Forward Back Propagation (FFBP);type Artificial Neural Network (ANN);reactive power compensation