Fault classification of three phase induction motors using Bi-LSTM networks

Fault classification of three phase induction motors using Bi-LSTM networks

Abstract The induction motors are back bone of the modern industry and play very important role in manufacturing and transportation sectors. The induction motor faults are mainly classified into internal faults such as inter turn short circuits , broken rotors and external faults such as over load,...

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Bibliographic Details
Main Authors: Jeevesh Vanga, Durga Prabhu Ranimekhala, Swathi Jonnala, Jhansi Jamalapuram, Balaji Gutta, Srinivasa Rao Gampa, Amarendra Alluri
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:Journal of Electrical Systems and Information Technology
Subjects:
Three phase induction motor
Machine learning techniques
LSTM
Bilstm
Fault classification
Online Access:https://doi.org/10.1186/s43067-023-00098-x

Internet

https://doi.org/10.1186/s43067-023-00098-x

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