Fault Detection in Multivariate Signals With Applications to Gas Turbines
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx5/78/4783546/04671096.pdf?arnumber=4671096
Cited by 11 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. Fault Detection and Localization of Centrifugal Gas Compressor System Using Fuzzy Logic and Hybrid Kernel-SVM Methods;Studies in Systems, Decision and Control;2020
2. Adaptive Degradation Prognostic Reasoning by Particle Filter with a Neural Network Degradation Model for Turbofan Jet Engine;Data;2018-11-06
3. Pattern recognition in multivariate time series – A case study applied to fault detection in a gas turbine;Engineering Applications of Artificial Intelligence;2016-03
4. Fault Isolation in Data-Driven Multivariate Process Monitoring;IEEE Transactions on Control Systems Technology;2015-09
5. Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model;The Scientific World Journal;2014
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