An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines
Top Cited Papers
- 1 April 2016
- journal article
- research article
- Published by Elsevier BV in Neural Networks
- Vol. 76, 106-121
- https://doi.org/10.1016/j.neunet.2016.01.003
Abstract
No abstract availableKeywords
Funding Information
- Qatar National Research Fund (4 - 195 - 2 - 065)
This publication has 38 references indexed in Scilit:
- Ensemble approaches for regressionACM Computing Surveys, 2012
- A multidimensional hybrid intelligent method for gear fault diagnosisExpert Systems with Applications, 2010
- Neural network ensembles: evaluation of aggregation algorithmsArtificial Intelligence, 2005
- Diversity creation methods: a survey and categorisationInformation Fusion, 2005
- Multistrategy ensemble learning: reducing error by combining ensemble learning techniquesIEEE Transactions on Knowledge and Data Engineering, 2004
- Adaptive time delay neural network structures for nonlinear system identificationNeurocomputing, 2002
- A Multi-Net System for the Fault Diagnosis of a Diesel EngineNeural Computing & Applications, 2000
- Adaptive Mixtures of Local ExpertsNeural Computation, 1991
- Neural network ensemblesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
- Non-linear system identification using neural networksInternational Journal of Control, 1990