On the public citation graph

Supervised Deep Learning Approach for Fault Detection and Isolation in a Floating Offshore Wind Turbine Farm

https://doi.org/10.2139/ssrn.4664031
0 signed · 77 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/asjc.1973openalex-extracted
Bayesian Fault Probability Estimation: Application in Wind Turbine Drivetrain Sensor Fault Detection
inferredcites →https://doi.org/10.1002/qj.49709841707openalex-extracted
Spectral characteristics of surface‐layer turbulence
inferredcites →https://doi.org/10.1002/we.2142openalex-extracted
Deep learning for automated drivetrain fault detection
inferredcites →https://doi.org/10.1007/978-3-319-69087-2_1openalex-extracted
Introduction and Motivation
inferredcites →https://doi.org/10.1007/978-3-642-35289-8_26openalex-extracted
Practical Recommendations for Gradient-Based Training of Deep Architectures
inferredcites →https://doi.org/10.1007/s00202-021-01446-8openalex-extracted
Effective fault diagnosis method for the pitch system, the drive train, and the generator with converter in a wind turbine system
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-extracted
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/j.amc.2013.11.062openalex-extracted
The fault diagnosis inverse problem with Ant Colony Optimization and Ant Colony Optimization with dispersion
inferredcites →https://doi.org/10.1016/j.egyr.2021.12.034openalex-extracted
Digital tools for floating offshore wind turbines (FOWT): A state of the art
inferredcites →https://doi.org/10.1016/j.energy.2022.125654openalex-extracted
Powering Europe with North Sea offshore wind: The impact of hydrogen investments on grid infrastructure and power prices
inferredcites →https://doi.org/10.1016/j.ifacol.2018.09.620openalex-extracted
Fault detection and isolation of pitch actuator faults in a floating wind turbine
inferredcites →https://doi.org/10.1016/j.ifacol.2023.10.1506openalex-extracted
Fault diagnosis of floating offshore wind farms, a benchmark case study*
inferredcites →https://doi.org/10.1016/j.ijepes.2018.01.009openalex-extracted
A radically data-driven method for fault detection and diagnosis in wind turbines
inferredcites →https://doi.org/10.1016/j.ipm.2009.03.002openalex-extracted
A systematic analysis of performance measures for classification tasks
inferredcites →https://doi.org/10.1016/j.measurement.2021.109094openalex-extracted
Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism
inferredcites →https://doi.org/10.1016/j.measurement.2022.111529openalex-extracted
DeepFedWT: A federated deep learning framework for fault detection of wind turbines
inferredcites →https://doi.org/10.1016/j.oceaneng.2019.02.048openalex-extracted
A systematic Failure Mode Effects and Criticality Analysis for offshore wind turbine systems towards integrated condition based maintenance strategies
inferredcites →https://doi.org/10.1016/j.renene.2016.12.005openalex-extracted
Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation
inferredcites →https://doi.org/10.1016/j.renene.2017.10.059openalex-extracted
Real-time monitoring, prognosis, and resilient control for wind turbine systems
inferredcites →https://doi.org/10.1016/j.renene.2017.12.102openalex-extracted
Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines
inferredcites →https://doi.org/10.1016/j.renene.2018.10.047openalex-extracted
Machine learning methods for wind turbine condition monitoring: A review
inferredcites →https://doi.org/10.1016/j.renene.2018.12.066openalex-extracted
Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review
inferredcites →https://doi.org/10.1016/j.renene.2020.06.130openalex-extracted
Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach
inferredcites →https://doi.org/10.1016/j.renene.2020.12.116openalex-extracted
Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks
inferredcites →https://doi.org/10.1016/j.renene.2021.04.077openalex-extracted
Fault tolerant control of wind turbines with simultaneous actuator and sensor faults using adaptive time delay control
inferredcites →https://doi.org/10.1016/j.renene.2021.09.067openalex-extracted
A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines
inferredcites →https://doi.org/10.1016/j.renene.2021.12.056openalex-extracted
Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine
inferredcites →https://doi.org/10.1016/j.rser.2014.12.005openalex-extracted
The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108723openalex-extracted
CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction
inferredcites →https://doi.org/10.1016/s0074-6142(05)x8014-7openalex-extracted
Parameter Estimation and Inverse Problems
inferredcites →https://doi.org/10.1049/iet-rpg.2018.6190openalex-extracted
Robust fault‐detection based on residual K–L divergence for wind turbines
inferredcites →https://doi.org/10.1049/pbpo129e_ch11openalex-extracted
Installation, operation and maintenance of offshore renewables
inferredcites →https://doi.org/10.1080/00343404.2021.2000958openalex-extracted
Chasing after the wind? Green economy strategies, path creation and transitions in the offshore wind industry
inferredcites →https://doi.org/10.1088/1742-6596/1104/1/012033openalex-extracted
Evaluation of control methods for floating offshore wind turbines
inferredcites →https://doi.org/10.1088/1742-6596/753/7/072027openalex-extracted
Wind Turbine Failures - Tackling current Problems in Failure Data Analysis
inferredcites →https://doi.org/10.1088/1742-6596/753/9/092012openalex-extracted
Model-based fault detection of blade pitch system in floating wind turbines
inferredcites →https://doi.org/10.1093/acprof:oso/9780198722588.001.0001openalex-extracted
Turbulence
inferredcites →https://doi.org/10.1109/5.58337openalex-extracted
Backpropagation through time: what it does and how to do it
inferredcites →https://doi.org/10.1109/acc.2013.6580525openalex-extracted
Wind turbine fault detection and fault tolerant control - An enhanced benchmark challenge
inferredcites →https://doi.org/10.1109/access.2018.2818678openalex-extracted
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
inferredcites →https://doi.org/10.1109/access.2020.3012182openalex-extracted
Data Preprocessing Techniques in Convolutional Neural Network Based on Fault Diagnosis Towards Rotating Machinery
inferredcites →https://doi.org/10.1109/icacci.2018.8554748openalex-extracted
Drift fault accommodation system of a transport aircraft using Neural Network models
inferredcites →https://doi.org/10.1109/icarcv.2018.8581339openalex-extracted
Actuator and Sensor Fault Diagnosis for Wind Energy Conversion Systems
inferredcites →https://doi.org/10.1109/jproc.2022.3171691openalex-extracted
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
inferredcites →https://doi.org/10.1109/tcst.2013.2259235openalex-extracted
Fault-Tolerant Control of Wind Turbines: A Benchmark Model
inferredcites →https://doi.org/10.1109/tie.2015.2417501openalex-extracted
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
inferredcites →https://doi.org/10.1109/tie.2015.2422394openalex-extracted
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods
inferredcites →https://doi.org/10.1162/089976600300015187openalex-extracted
Gradient-Based Optimization of Hyperparameters
inferredcites →https://doi.org/10.1201/9781003360773-76openalex-extracted
Faulty wind farm simulation: An estimation/control-oriented model
inferredcites →https://doi.org/10.1256/smsqj.41706openalex-extracted
Spectral characteristics of surface-layer turbulence
inferredcites →https://doi.org/10.1260/030952407783123060openalex-extracted
Quantification of Condition Monitoring Benefit for Offshore Wind Turbines
inferredcites →https://doi.org/10.1533/9781782422433.2.565openalex-extracted
Sensing solutions for assessing and monitoring wind turbines
inferredcites →https://doi.org/10.21629/jsee.2017.01.18openalex-extracted
Convolutional neural networks for time series classification
inferredcites →https://doi.org/10.2172/1155123openalex-extracted
Definition of the Semisubmersible Floating System for Phase II of OC4
inferredcites →https://doi.org/10.2172/947422openalex-extracted
Definition of a 5-MW Reference Wind Turbine for Offshore System Development
inferredcites →https://doi.org/10.3182/20110828-6-it-1002.00546openalex-extracted
Data Driven Fault Detection and Isolation of a Wind Turbine Benchmark
inferredcites →https://doi.org/10.3182/20110828-6-it-1002.01758openalex-extracted
Wind Turbine Fault Detection Using Counter-Based Residual Thresholding
inferredcites →https://doi.org/10.3182/20120829-3-mx-2028.00185openalex-extracted
Fault Tolerant Control of the Wind Turbine Benchmark using Virtual Sensors/Actuators
inferredcites →https://doi.org/10.3182/20140824-6-za-1003.00955openalex-extracted
Frequency Based Fault Detection in Wind Turbines
inferredcites →https://doi.org/10.32609/j.ruje.6.55375openalex-extracted
Priorities and challenges of the EU energy transition: From the European Green Package to the new Green Deal
inferredcites →https://doi.org/10.3389/fenrg.2021.751066openalex-extracted
Review and Perspectives of Machine Learning Methods for Wind Turbine Fault Diagnosis
inferredcites →https://doi.org/10.3390/app11031280openalex-extracted
Deep Learning Method for Fault Detection of Wind Turbine Converter
inferredcites →https://doi.org/10.3390/electronics8101185openalex-extracted
Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends
inferredcites →https://doi.org/10.3390/en14061791openalex-extracted
Adaptive Robust Fault-Tolerant Control Design for Wind Turbines Subject to Pitch Actuator Faults
inferredcites →https://doi.org/10.3390/en15082806openalex-extracted
A Multi-Turbine Approach for Improving Performance of Wind Turbine Power-Based Fault Detection Methods
inferredcites →https://doi.org/10.3390/en15197004openalex-extracted
Wind Parks in Poland—New Challenges and Perspectives
inferredcites →https://doi.org/10.3390/en15197186openalex-extracted
Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview
inferredcites →https://doi.org/10.3390/en7042595openalex-extracted
Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges
inferredcites →https://doi.org/10.3390/en9010003openalex-extracted
Wind Turbine Fault Detection through Principal Component Analysis and Statistical Hypothesis Testing
inferredcites →https://doi.org/10.3390/fluids7120371openalex-extracted
Machine Learning on Fault Diagnosis in Wind Turbines
inferredcites →https://doi.org/10.3390/pr8091066openalex-extracted
Actuator and Sensor Fault Classification for Wind Turbine Systems Based on Fast Fourier Transform and Uncorrelated Multi-Linear Principal Component Analysis Techniques
inferredcites →https://doi.org/10.3390/pr9020300openalex-extracted
An Overview on Fault Diagnosis, Prognosis and Resilient Control for Wind Turbine Systems
inferredcites →https://doi.org/10.4028/www.scientific.net/ast.101.45openalex-extracted
Wind Turbine Fault Detection through Principal Component Analysis and Statistical Hypothesis Testing
inferredcites →https://doi.org/10.4230/oasics.slate.2025.1openalex-extracted
From Prediction to Precision: Leveraging LLMs for Equitable and Data-Driven Writing Placement in Developmental Education
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-extracted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.2007.01708openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2301.05579openalex-extracted
A survey and taxonomy of loss functions in machine learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.