Wear Prediction of Petrochemical Granulator Gearbox Using Multiscale Temporal Convolutional Network via Online Oil Monitoring
Author:
Affiliation:
1. Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China
2. Guangdong Janus Biotechnology Co., Ltd,Guangzhou,China
Funder
Natural Science Foundation of Guangdong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10175865/10175876/10175962.pdf?arnumber=10175962
Reference14 articles.
1. A Comparative Analysis of XGBoost and Temporal Convolutional Network Models for Wind Power Forecasting
2. A Comparative Analysis of XGBoost and Temporal Convolutional Network Models for Wind Power Forecasting
3. Landslide Risk Prediction Model Using an Attention-Based Temporal Convolutional Network Connected to a Recurrent Neural Network
4. Anomaly Detection of Automobile Welding Workstation Based on Stacked Autoencoders and Long Short-Term Memory Network
5. Recurrent Neural Network approach for data prediction of a chemical process plant
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1. Wear State Score Prediction of Friction Testing Machine using Improved Ensemble Convolutional Neural Network;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
2. Fault Detection of Melt Pump Gearbox Using Learnable Multi-Scale Convolutional Neural Network by Fusing Online and Offline Oil Monitoring Data;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
3. Wear Prediction of Petrochemical Granulator Gearbox Using Multidimensional Transformer Network Via Online Oil Monitoring;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
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