Cable Life Prediction Based on BP Neural Network
Author:
Affiliation:
1. NARI Nanjing Control System Co., Ltd.,Nanjing,China,210061
2. Shanghai Electric Power University,School of Electronics and Information,Shanghai,China,200090
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9757913/9757914/09757951.pdf?arnumber=9757951
Reference21 articles.
1. A platform for assessing the aging state of high-voltage cable insulation based on operational data analysis;fei;Hubei Electric Power,2020
2. Learning representations by back-propagating errors
3. Prediction of Shanghai air quality index based on BP neural network optimized by genetic algorithm
4. Life time estimation of serviced aged oil-paper insulated HV power cables based on the dielectric loss measurements (tan δ)
5. Skin effect and dielectric loss models of power cables
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1. Lifetime Prediction of Underground Cable Based on GA-BP Neural Network;2023 3rd International Conference on New Energy and Power Engineering (ICNEPE);2023-11-24
2. Research on Life Prediction of Underground Cables based on BP Neural Network;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15
3. The listing price prediction of used sailboats based on LM-BP Neural Network;2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC);2023-09-15
4. Assessment of MV XLPE cable aging state based on PSO-XGBoost algorithm;Electric Power Systems Research;2023-08
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