False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Reference34 articles.
1. Nonparametric methods in change point problems, vol. 243;Brodsky,1993
2. Probability-relevant incipient fault detection and diagnosis methodology with applications to electric drive systems;Chen;IEEE Transactions on Control Systems Technology,2019
3. Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network;Chen;Renewable Energy,2021
4. Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder;de Pater;Engineering Applications of Artificial Intelligence,2023
5. Data-driven design of fault diagnosis and fault-tolerant control systems;Ding,2014
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