Regression Based Performance Analysis and Fault Detection in Induction Motors by Using Deep Learning Technique

Pradeep Katta; Karunanithi Kandasamy; Raja Soosaimarian Peter Raj; Ramesh Subramanian; Chandrasekar Perumal

doi:10.14201/adcaij.28435

Regression Based Performance Analysis and Fault Detection in Induction Motors by Using Deep Learning Technique

Pradeep Katta

School of Electrical and Communication Engineering pradeep.2048[at]gmail.com
Karunanithi Kandasamy

School of Electrical and Communication Engineering
Raja Soosaimarian Peter Raj

School of Electrical and Communication Engineering
Ramesh Subramanian

School of Electrical and Communication Engineering
Chandrasekar Perumal

School of Electrical and Communication Engineering

https://doi.org/10.14201/adcaij.28435

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How to Cite

Katta, P., Kandasamy, K., Soosaimarian Peter Raj, R., Subramanian, R., & Perumal, C. (2023). Regression Based Performance Analysis and Fault Detection in Induction Motors by Using Deep Learning Technique. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(3), 349–365. https://doi.org/10.14201/adcaij.28435

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Editorial dates

Submitted:

12-02-2022

Acceptance:

02-05-2022

Published:

24-01-2023

Issue

Vol. 11 No. 3 (2022)

Section

Articles

Keywords

induction motor
DBN
RBM
Fast Fourier Transform (FFT)
regression modeling

Supporting agencies

This research didn't have any funding

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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