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An Online Classification Method for Fault Diagnosis of Railway Turnouts
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-981-13-7542-2_15openalex-snapshot
Simulation Data Generating Algorithm for Railway Turnout Fault Diagnosis in Big Data Maintenance Management System
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Incremental Learning for Robust Visual Tracking
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Increasing the accuracy of incremental naive bayes classifier using instance based learning
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A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem
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Unobserved Component models applied to the assessment of wear in railway points: A case study
inferredcites →https://doi.org/10.1016/j.engfailanal.2007.03.005openalex-snapshot
Failure analysis and diagnostics for railway trackside equipment
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Chunk incremental learning for cost-sensitive hinge loss support vector machine
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A scalable, incremental learning algorithm for classification problems
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A reliability centered approach to remote condition monitoring. A railway points case study
inferredcites →https://doi.org/10.1109/cimsa.2010.5611756openalex-snapshot
Failure prediction on railway turnouts using time delay neural networks
inferredcites →https://doi.org/10.1109/demped.2009.5292755openalex-snapshot
Failure diagnostics for railway point machines using expert systems
inferredcites →https://doi.org/10.1109/ijcnn.2003.1223991openalex-snapshot
Svm incremental learning, adaptation and optimization
inferredcites →https://doi.org/10.1109/phm-chongqing.2018.00099openalex-snapshot
Railway Turnout Fault Analysis Based on Monitoring Data of Point Machines
inferredcites →https://doi.org/10.1109/tie.2010.2051399openalex-snapshot
A Simple State-Based Prognostic Model for Railway Turnout Systems
inferredcites →https://doi.org/10.1109/tnnls.2013.2271933openalex-snapshot
PANFIS: A Novel Incremental Learning Machine
inferredcites →https://doi.org/10.1109/tpami.2015.2459678openalex-snapshot
Incremental Learning of Random Forests for Large-Scale Image Classification
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An online-optimized incremental learning framework for video semantic classification
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Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification
inferredcites →https://doi.org/10.1177/0361198119837222openalex-snapshot
A Data-Driven Fault Diagnosis Method for Railway Turnouts
inferredcites →https://doi.org/10.1243/09544097jrrt313openalex-snapshot
Improving railway switch system reliability with innovative condition monitoring algorithms
inferredcites →https://doi.org/10.17531/ein.2018.4.2openalex-snapshot
Hybrid fault diagnosis of railway switches based on the segmentation of monitoring curves
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An Unsupervised Fault Detection Support System for Railway Turnouts
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Enhanced Fault Diagnosis in Electric Drive Systems Utilizing an Optimal Band Extraction Method for Low-Quality Signals
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Total process of fault diagnosis for wind turbine gearbox, from the perspective of combination with feature extraction and machine learning: A review
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A review of fault diagnosis for train signal system based on multi-source information fusion
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Cyber Threat Assessment in Monitoring Turnout Railway Systems
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Predictive Maintenance on Railway Turnout System: A Systematic Literature Review
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Turnout fault diagnosis based on adaptive threshold feature extraction and SVM
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Simultaneous Fault Diagnosis for Sensor and Railway Point Machine for Autonomous Rail System
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Anti-icing System on Railway Turnouts using Induction Heating Technology for Energy Saving
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Incremental Learning-Enabled Fault Diagnosis of Dynamic Systems: A Comprehensive Review
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Segmentalized mRMR Features and Cost-Sensitive ELM With Fixed Inputs for Fault Diagnosis of High-Speed Railway Turnouts
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The Fundamental Approach of the Digital Twin Application in Railway Turnouts with Innovative Monitoring of Weather Conditions
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