A Negative Selection Immune System Inspired Methodology for Fault Diagnosis of Wind Turbines

No abstract is available for this paper.

• Publication year

  2017

• Venue

  IEEE Transactions on Cybernetics

• Publication date

  2017-11-01

• Fields of study

  Medicine, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/TCYB.2016.2582384PMID 27390200
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A Set-Valued Approach to FDI and FTC of Wind Turbines

  2015cited by this paper
• A Comparative Study of Three Fault Diagnosis Schemes for Wind Turbines

  2015cited by this paper
• Fault Diagnosis of a Wind Turbine Benchmark via Identified Fuzzy Models

  2015cited by this paper
• Fault Detection for T-S Fuzzy Time-Delay Systems: Delta Operator and Input-Output Methods

  2015cited by this paper
• Analysis and Design of Robust $H_\infty $ Fault Estimation Observer With Finite-Frequency Specifications for Discrete-Time Fuzzy Systems

  2015cited by this paper
• Fault Diagnosis of an Advanced Wind Turbine Benchmark Using Interval-Based ARRs and Observers

  2015cited by this paper
• Combination of Model-based Observer and Support Vector Machines for Fault Detection of Wind Turbines

  2014cited by this paper
• Data-driven design of robust fault detection system for wind turbines

  2014cited by this paper
• ν-Nonparallel support vector machine for pattern classification

  2014cited by this paper
• Novel Neural Networks-Based Fault Tolerant Control Scheme With Fault Alarm

  2014cited by this paper
• Fault Detection in Finite Frequency Domain for Takagi-Sugeno Fuzzy Systems With Sensor Faults

  2014cited by this paper
• Constrained Optimization Via Artificial Immune System

  2014cited by this paper
• Distributed Fault Detection and Isolation Resilient to Network Model Uncertainties

  2014cited by this paper
• Wind turbine fault detection and isolation using support vector machine and a residual-based method

  2013cited by this paper
• A Survey of Control Issues in PMSG-Based Small Wind-Turbine Systems

  2013cited by this paper
• Fault tolerant wind farm control — A benchmark model

  2013influential reference
• A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine

  2013cited by this paper
• Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm

  2013influential reference
• Nature-Inspired Techniques in the Context of Fraud Detection

  2012cited by this paper
• An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection

  2012cited by this paper
• A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

  2011influential reference
• Fault Detection and Isolation of the Wind Turbine Benchmark: an Estimation-based Approach

  2011cited by this paper
• Data—Driven Approach for Wind Turbine Actuator and Sensor Fault Detection and Isolation

  2011cited by this paper
• Observer-based FDI Schemes for Wind Turbine Benchmark

  2011cited by this paper
• Fault Diagnosis of Wind Turbines using a Set-membership Approach

  2011cited by this paper
• Robust Fault Diagnosis for a Horizontal Axis Wind Turbine

  2011cited by this paper
• Adaptation of set theoretic methods to the fault detection of a wind turbine benchmark

  2011cited by this paper
• Wind Turbine Modelling, Control and Fault Detection

  2010cited by this paper
• Fault-Tolerant Control of Wind Turbines: A Benchmark Model

  2009influential reference
• V-detector: An efficient negative selection algorithm with "probably adequate" detector coverage

  2009influential reference
• A Framework for Evolving Multi-Shaped Detectors in Negative Selection

  2007cited by this paper
• Support Vector Machine Solvers

  2007cited by this paper
• Simulation Model of Wind Turbine 3p Torque Oscillations due to Wind Shear and Tower Shadow

  2006cited by this paper
• Applicability issues of the real-valued negative selection algorithms

  2006cited by this paper
• Wind Turbine Control Systems: Principles, Modelling and Gain Scheduling Design

  2006cited by this paper
• Advances in artificial immune systems

  2006influential reference
• Fast Kernel Classifiers with Online and Active Learning

  2005cited by this paper
• Negative Selection Algorithm for Aircraft Fault Detection

  2004cited by this paper
• Real-Valued Negative Selection Algorithm with Variable-Sized Detectors

  2004cited by this paper
• An immunity-based technique to characterize intrusions in computer networks

  2002cited by this paper
• A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: preliminary results

  2002cited by this paper
• An Anomaly Entection Algorithm Inspired by the Immune Syste

  1999cited by this paper
• A Tutorial on Support Vector Machines for Pattern Recognition

  1998cited by this paper
• Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed wind-energy generation

  1996cited by this paper
• Support-Vector Networks

  1995cited by this paper
• An adaptive, distributed learning system based on the immune system

  1995cited by this paper
• Self-nonself discrimination in a computer

  1994cited by this paper

• A hybrid model based on advanced optimization algorithm, and deep learning model for wind turbine sensor condition monitoring and fault identification

  2025cites this paper
• Statistic Discrepancy Oriented Cyclo-Non-Stationary Indicator for Wind Turbine Condition Monitoring Under Varying Speed Conditions

  2025cites this paper
• Explainability for Property Violations in Cyberphysical Systems: An Immune-Inspired Approach

  2024cites this paper
• Bio-Inspired Intelligent Anomaly Diagnosis System for Health Monitoring in Connected Vehicles

  2024cites this paper
• Immune system inspired smart maintenance framework: tool wear monitoring use case

  2024cites this paper
• Back-propagation-based multivariate state estimation technique: A lightweight adaptive condition monitoring approach for wind turbine

  2024cites this paper
• Negative Selection Algorithm-Based Fault Detection and Isolation for Six Degree-of-Freedom Robot

  2024cites this paper
• A new class of fault recognition method for wind turbine systems based on deep learning

  2023cites this paper
• Hybrid-Model-Based Digital Twin of the Drivetrain of a Wind Turbine and Its Application for Failure Synthetic Data Generation

  2023cites this paper
• Protocol-based control for wind turbine generator systems with semi-Markov jump parameters

  2023cites this paper
• A multivariate monitoring method based on kernel principal component analysis and dual control chart

  2023cites this paper
• Application of multi-SVM classifier and hybrid GSAPSO algorithm for fault diagnosis of electrical machine drive system.

  2022cites this paper
• Multiclass anomaly detection for unsupervised and semi-supervised data based on a combination of negative selection and clonal selection algorithms

  2022cites this paper
• An efficient self-organized traffic maintenance scheme employing positive selection algorithm

  2022cites this paper
• Long-range Dependencies Learning Based on Non-Local 1D-Convolutional Neural Network for Rolling Bearing Fault Diagnosis

  2022cites this paper
• Unsupervised anomaly detection for network traffic using artificial immune network

  2022cites this paper
• Semi-supervised deep learning recognition method for the new classes of faults in wind turbine system

  2022cites this paper
• A Novel Measurement Information Anomaly Detection Method for Cooperative Localization

  2021cites this paper
• Adaptive Observer Based Fault Tolerant Control for Sensor and Actuator Faults in Wind Turbines

  2021cites this paper
• Cryptography Concepts: Integrity, Authentication, Availability, Access Control, and Non-repudiation

  2020cites this paper
• Vibration Signal Processing and Weak Information Extraction Method for High-Speed Shaft Fault of Wind Turbine in Wind Shear

  2020cites this paper
• Immune Inspired Fault Diagnosis in Wireless Sensor Network

  2020cites this paper
• Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework

  2020cites this paper
• Fault Diagnosis in Wireless Sensor Network Using Self/Non-self Discrimination Principle

  2020cites this paper
• A Data-Driven Fault Detection Framework Using Mahalanobis Distance Based Dynamic Time Warping

  2020cites this paper
• Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines

  2020cites this paper
• Fault diagnosis in wireless sensor network using negative selection algorithm and support vector machine

  2020influential citation
• Multi-Objective Optimization Algorithm and Preference Multi-Objective Decision-Making Based on Artificial Intelligence Biological Immune System

  2020cites this paper
• New Frontiers in Cryptography: Quantum, Blockchain, Lightweight, Chaotic and DNA

  2020cites this paper
• An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring

  2019cites this paper
• Fault diagnosis method of self-validating metal oxide semiconductor gas sensor based on t-distribution stochastic neighbor embedding and random forest.

  2019cites this paper
• An Antigen Space Triangulation Coverage Based Real-Value Negative Selection Algorithm

  2019cites this paper
• A Data-Driven Residual-Based Method for Fault Diagnosis and Isolation in Wind Turbines

  2019cites this paper
• A Review on Neurocomputing Based wind Turbines Fault Diagnosis and Prognosis

  2018cites this paper
• A Dendritic Cell Immune System Inspired Scheme for Sensor Fault Detection and Isolation of Wind Turbines

  2018cites this paper
• Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels

  2017cites this paper
• An Improved Negative Selection Algorithm Based on Subspace Density Seeking

  2017cites this paper