A Deep Learning Aided Intelligent Framework for Condition Monitoring of Electrical Machinery-Reference-Cited by-同舟云学术

A Deep Learning Aided Intelligent Framework for Condition Monitoring of Electrical Machinery

Published:2023-04-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Devices for Integrated Circuit (DevIC)
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Author:

Ganguly Biswarup¹,Ray Radha Kumari²,Chatterjee Arunava³,Paul Subho⁴

Affiliation:

1. Meghnad Saha Institute of Technology,Electrical Engineering Department,Kolkata,India

2. Application Development Associate Accenture,Kolkata,India

3. Raghunathpur Govt. Polytechnic,Electrical Engineering Department,Purulia,India

4. Washington State University,School of Electrical Engineering and Computer Science,Pullman,WA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134754/10134560/10134832.pdf?arnumber=10134832

Reference22 articles.

1. Residential Appliance Identification Using 1-D Convolutional Neural Network Based on Multiscale Sinusoidal Initializers

2. A Deep learning Framework for Eye Melanoma Detection employing Convolutional Neural Network

3. Diagnosis of Induction Motor Faults Using Frequency Occurrence Image Plots—A Deep Learning Approach

4. Wavelet Kernel-Based Convolutional Neural Network for Localization of Partial Discharge Sources Within a Power Apparatus;ganguly;IEEE Trans Ind Informat,2021

5. A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion

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1. A Deep Learning Framework for Noise Elimination of Partial Discharge Signals;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29