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Simultaneous fault diagnosis for aircraft engine using multi-label learning

https://doi.org/10.1177/09596518221085756
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-24775-3_5openalex-snapshot
Discriminative Methods for Multi-labeled Classification
inferredcites →https://doi.org/10.1007/978-3-540-30115-8_7openalex-snapshot
Applying Support Vector Machines to Imbalanced Datasets
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1007/s10994-011-5256-5openalex-snapshot
Classifier chains for multi-label classification
inferredcites →https://doi.org/10.1016/j.apenergy.2017.04.048openalex-snapshot
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
inferredcites →https://doi.org/10.1016/j.ast.2017.10.004openalex-snapshot
Retargeting extreme learning machines for classification and their applications to fault diagnosis of aircraft engine
inferredcites →https://doi.org/10.1016/j.cam.2009.08.075openalex-snapshot
Comparison of adaptive filters for gas turbine performance monitoring
inferredcites →https://doi.org/10.1016/j.conengprac.2008.09.008openalex-snapshot
Coupling principal component analysis and Kalman filtering algorithms for on-line aircraft engine diagnostics
inferredcites →https://doi.org/10.1016/j.ins.2013.05.032openalex-snapshot
Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach
inferredcites →https://doi.org/10.1016/j.jpowsour.2018.01.015openalex-snapshot
Data-driven simultaneous fault diagnosis for solid oxide fuel cell system using multi-label pattern identification
inferredcites →https://doi.org/10.1016/j.jprocont.2015.08.007openalex-snapshot
Fault detection and isolation of gas turbine engines using a bank of neural networks
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1016/j.neucom.2015.02.097openalex-snapshot
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis
inferredcites →https://doi.org/10.1016/j.neunet.2016.01.003openalex-snapshot
An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines
inferredcites →https://doi.org/10.1016/j.patcog.2004.03.009openalex-snapshot
Learning multi-label scene classification
inferredcites →https://doi.org/10.1016/j.patcog.2006.12.019openalex-snapshot
ML-KNN: A lazy learning approach to multi-label learning
inferredcites →https://doi.org/10.1016/j.patcog.2012.03.004openalex-snapshot
An extensive experimental comparison of methods for multi-label learning
inferredcites →https://doi.org/10.1017/cbo9780511801389openalex-snapshot
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
inferredcites →https://doi.org/10.1061/(asce)as.1943-5525.0000386openalex-snapshot
Fault Early Recognition and Health Monitoring on Aeroengine Rotor System
inferredcites →https://doi.org/10.1088/1361-6501/aaf319openalex-snapshot
Construction of a batch-normalized autoencoder network and its application in mechanical intelligent fault diagnosis
inferredcites →https://doi.org/10.1088/1361-6501/ab0793openalex-snapshot
A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
inferredcites →https://doi.org/10.1088/1361-6501/ab2ff3openalex-snapshot
Novel data-driven short-frequency mutual information entropy threshold filtering and its application to bearing fault diagnosis
inferredcites →https://doi.org/10.1088/1361-6501/ab48c7openalex-snapshot
Industrial process deep feature representation by regularization strategy autoencoders for process monitoring
inferredcites →https://doi.org/10.1109/tie.2012.2202358openalex-snapshot
A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns
inferredcites →https://doi.org/10.1109/tkde.2010.164openalex-snapshot
Random k-Labelsets for Multilabel Classification
inferredcites →https://doi.org/10.1109/tkde.2013.39openalex-snapshot
A Review on Multi-Label Learning Algorithms
inferredcites →https://doi.org/10.1109/tkde.2017.2785795openalex-snapshot
Multi-Label Learning with Global and Local Label Correlation
inferredcites →https://doi.org/10.1109/tnn.2005.848998openalex-snapshot
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
inferredcites →https://doi.org/10.1145/1557019openalex-snapshot
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2716262openalex-snapshot
A Tutorial on Multilabel Learning
inferredcites →https://doi.org/10.1214/009053607000000677openalex-snapshot
Kernel methods in machine learning
inferredcites →https://doi.org/10.2514/1.38629openalex-snapshot
Gas Turbine Fault Diagnosis Using Fuzzy-Based Decision Fusion
inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot
Learning with Kernels

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4589069openalex-extracted
inferred← citeshttps://doi.org/10.1007/s40430-025-06139-yopenalex-snapshot
A hierarchical confidence-driven adversarial alignment method for aircraft engine fault diagnosis under variable operating conditions
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.117755openalex-snapshot
A novel method for untrained detection of compound fault in rolling bearing via fast Fourier Transform-Transformer model
inferred← citeshttps://doi.org/10.1080/15366367.2023.2283682openalex-snapshot
Data Acquiring System for Gas Turbine Engine’s Dynamic Performance; Build and Validate
inferred← citeshttps://doi.org/10.1177/09544100261422516openalex-snapshot
Analytical redundancy modeling of onboard sensors for engine parameter estimation using flight data
inferred← citeshttps://doi.org/10.1177/09596518261449579openalex-snapshot
Multi-scale adaptive graph convolutional network for gearbox fault diagnosis
inferred← citeshttps://doi.org/10.3390/aerospace10060517openalex-snapshot
Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research
inferred← citeshttps://doi.org/10.3390/en15155534openalex-snapshot
Machine Learning Methods for Automated Fault Detection and Diagnostics in Building Systems—A Review
inferred← citeshttps://doi.org/10.54858/dndia.2023-19-25openalex-snapshot
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