Reference health
Multi-label classification for simultaneous fault diagnosis of marine machinery: A comparative study
30/30 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
14 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 30 checked references that resolve
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Performance Decay Analysis of a Marine Gas Turbine Propulsion System
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Condition-Based Maintenance for medium speed diesel engines used in vessels in operation
resolves10.1109/TITS.2019.2897583
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
resolves10.1016/j.patcog.2015.10.008
MLTSVM: A novel twin support vector machine to multi-label learning
resolves10.1016/j.oceaneng.2017.12.002
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis
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Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
resolves10.1016/j.oceaneng.2019.01.054
A novelty detection approach to diagnosing hull and propeller fouling
resolves10.1016/j.oceaneng.2019.05.045
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling
resolves10.3390/app9235086
Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification
resolves10.1109/TII.2019.2934901
Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network
resolves10.1016/j.engappai.2016.10.015
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
resolves10.1109/TASLP.2020.2964953
Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language Recognition
resolves10.1080/17445302.2018.1500189
Investigating an SVM-driven, one-class approach to estimating ship systems condition
resolves10.1016/j.oceaneng.2017.11.017
Predicting ship machinery system condition through analytical reliability tools and artificial neural networks
resolves10.1016/j.compind.2019.103132
Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform
resolves10.1109/ACCESS.2019.2956052
A Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
resolves10.1088/1757-899X/100/1/012023
Application of artificial neural network for prediction of marine diesel engine performance
resolves10.1080/17445302.2018.1443694
Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications
resolves10.1016/j.apenergy.2017.04.048
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
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A one-class SVM based approach for condition-based maintenance of a naval propulsion plant with limited labeled data
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A comparative investigation of data-driven approaches based on one-class classifiers for condition monitoring of marine machinery system
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Research of Marine Diesel Engine’s State Prediction Based on Evolutionary Neural Network and Spectrometric Analysis
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Large-scale multi-label classification using unknown streaming images
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A Fault Detection and Health Monitoring Scheme for Ship Propulsion Systems Using SVM Technique
The 14 references without a DOI — listed, not checked
no DOI — not checkedMBAN-MLC: a multi-label classification method and its application in automating fault diagnosis
no DOI — not checkedMachine learning approaches for improving condition-based maintenance of naval propulsion plants
no DOI — not checkedOnline fault detection in autonomous ferries: using fault-type independent spectral anomaly detection
no DOI — not checked10.1016/j.oceaneng.2021.109723_bib16
no DOI — not checked10.1016/j.oceaneng.2021.109723_bib17
no DOI — not checked10.1016/j.oceaneng.2021.109723_bib22
no DOI — not checkedWind turbine multi-label fault recognition based on combined feature selection and neural network, 2019 IEEE 3rd conference on energy internet and energy system integration (EI2)
no DOI — not checkedNaive bayes multi-label classification approach for high-voltage condition monitoring
no DOI — not checkedApplication of NARX neural network for predicting marine engine performance parameters
no DOI — not checked10.1016/j.oceaneng.2021.109723_bib31
no DOI — not checkedscikit-multilearn: a scikit-based Python environment for performing multi-label classification
no DOI — not checkedIdentify RNA-associated subcellular localizations based on multi-label learning using Chou's 5-steps rule
no DOI — not checkedA novel ensemble approach to multi-label classification for electric power fault diagnosis, 2019 IEEE 7th international conference on computer science and network technology (ICCSNT)
no DOI — not checkedCorrelation networks for extreme multi-label text classification
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