Prediction of Partial Discharge Inception Voltage for Electric Vehicle Motor Insulation Using Deep Learning-Reference-Cited by-同舟云学术

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Prediction of Partial Discharge Inception Voltage for Electric Vehicle Motor Insulation Using Deep Learning

Published:2023 Issue: Volume:72 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Akram Shakeel¹^ORCID,Wang Peng²^ORCID,Zhu Xi¹^ORCID,Huang Jialiang¹^ORCID,Liu Feng¹^ORCID,Fang Zhi¹^ORCID,Ahmed Haroon³^ORCID

Affiliation:

1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China

2. College of Electrical Engineering, Sichuan University, Chengdu, China

3. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10119548.pdf?arnumber=10119548

Reference32 articles.

1. Determination of Partial Discharge Inception Voltage and Location of Partial Discharges by Means of Paschen’s Theory and FEM

2. Feature Extraction of Partial Discharges During Multiple Simultaneous Defects in Low-Voltage Electric Machines

3. Uncertainty Sources in the Estimation of the Partial Discharge Inception Voltage in Turn-to-Turn Insulation Systems

4. Using motorettes for the experimental and numerical determinations of the PDIV in an electric motor

5. Taking the Human Out of the Loop: A Review of Bayesian Optimization

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1. Short and long term memory method for predicting the temperature of motor stator based on Harris eagle algorithm optimization;Case Studies in Thermal Engineering;2024-07

2. Graded Surface Modification of Electric Vehicles Motor Insulating Material by using Plasma to Tailor Surface Charges;2024 IEEE 5th International Conference on Dielectrics (ICD);2024-06-30

3. Edge-Computing-Based Knowledge Distillation and Multitask Learning for Partial Discharge Recognition;IEEE Transactions on Instrumentation and Measurement;2024

4. Prediction of Positive Lightning Impulse Breakdown Voltage Under Sphere-to-Barrier-to-Plane Air Gaps Using Machine Learning;IEEE Access;2024

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