Identification of Wellbore Flow Abnormal Working Conditions Based on Deep Learning
Author:
Affiliation:
1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China
2. CNOOC Research Institute Co., LTD.,Drilling&Production Research Department,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10072013/10072295/10072930.pdf?arnumber=10072930
Reference20 articles.
1. Bearing fault diagnosis base on multi-scale CNN and LSTM model[J];xiaohan;Journal of Intelligent Manufacturing,2021
2. Fault Diagnosis for Rolling Bearing Based on RF-LSTM
3. Network Fault Prediction Based on CNN-LSTM Hybrid Neural Network
4. Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor
5. An introduction to ROC analysis
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