High pressure air compressor valve fault diagnosis using feedforward neural networks
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering
Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Mathematical Modeling and Analysis of a Piston Air Compressor of a Railway Vehicle for Abnormal Data Generation;International Journal of Control, Automation and Systems;2024-02
2. LSTM-AE based condition monitoring for reciprocating air compressors considering on/off characteristics;Journal of Mechanical Science and Technology;2023-12
3. Anomaly Detection of an Air Compressor from Time-series Measurement Data;2022 22nd International Conference on Control, Automation and Systems (ICCAS);2022-11-27
4. Framework for Reliable Fault Detection with Sensor Data;Studies in Computational Intelligence;2022-09-30
5. MVPC—A Classifier with Very Low VC Dimension;Studies in Computational Intelligence;2022-09-30
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