Related references
Note: Only part of the references are listed.Study of the Total Demagnetization Fault of an AFPM Wind Generator
Alexandra C. Barmpatza et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2021)
Detection of Field Winding Faults in Synchronous Motors via Analysis of Transient Stray Fluxes and Currents
Pengfei Tian et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2021)
Failure Prognosis and Applications-A Survey of Recent Literature
Mojtaba Kordestani et al.
IEEE TRANSACTIONS ON RELIABILITY (2021)
Neural Network-Based Adaptive Fault-Tolerant Control for Markovian Jump Systems With Nonlinearity and Actuator Faults
Hongyan Yang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)
Adaptive attenuation correction during H-scan ultrasound imaging using K-means clustering
Haowei Tai et al.
ULTRASONICS (2020)
An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio
Raneem Qaddoura et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)
A comparative study of decision tree, random forest, and convolutional neural network for spread-F identification
Ting Lan et al.
ADVANCES IN SPACE RESEARCH (2020)
Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm
Reza Ghezelbash et al.
COMPUTERS & GEOSCIENCES (2020)
Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning
Marc-Andre Kaufhold et al.
INFORMATION PROCESSING & MANAGEMENT (2020)
Online reduced gaussian process regression based generalized likelihood ratio test for fault detection
R. Fezai et al.
JOURNAL OF PROCESS CONTROL (2020)
Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems
Abdelmalek Kouadri et al.
RENEWABLE ENERGY (2020)
Efficient synthetical clustering validity indexes for hierarchical clustering
Qin Xu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
An Integrated Feature-Based Failure Prognosis Method for Wind Turbine Bearings
Milad Rezamand et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)
Online random forests regression with memories
Yuan Zhong et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Autocorrelation Aided Random Forest Classifier-Based Bearing Fault Detection Framework
Sayanjit Singha Roy et al.
IEEE SENSORS JOURNAL (2020)
A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation
Khaled Dhibi et al.
IEEE SENSORS JOURNAL (2020)
Critical Wind Turbine Components Prognostics: A Comprehensive Review
Milad Rezamand et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems
Majdi Mansouri et al.
IEEE ACCESS (2020)
Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems
Khaled Dhibi et al.
IEEE JOURNAL OF PHOTOVOLTAICS (2020)
Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery
Hong Huang et al.
PATTERN RECOGNITION (2020)
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg et al.
NATURE MACHINE INTELLIGENCE (2020)
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
Guoqian Jiang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms
Hoang Nguyen et al.
APPLIED SOFT COMPUTING (2019)
Class-specific attribute weighted naive Bayes
Liangxiao Jiang et al.
PATTERN RECOGNITION (2019)
Online reduced kernel GLRT technique for improved fault detection in photovoltaic systems
R. Fezai et al.
ENERGY (2019)
Fault detection of uncertain nonlinear process using interval-valued data-driven approach
M. -F. Harkat et al.
CHEMICAL ENGINEERING SCIENCE (2019)
Wind turbine reliability data review and impacts on levelised cost of energy
Cuong Dao et al.
WIND ENERGY (2019)
Series Arc Detection and Complex Load Recognition Based on Principal Component Analysis and Support Vector Machine
Jun Jiang et al.
IEEE ACCESS (2019)
Improvement of energy conversion efficiency and damping of wind turbine response in grid connected DFIG based wind turbines
Mohsen Rahimi
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)
Analysis of wind turbine Gearbox's environmental impact considering its reliability
L. Jiang et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Wind Turbine Fault Detection and Identification Through PCA-Based Optimal Variable Selection
Yifei Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2018)
Application of support vector machine models for forecasting solar and wind energy resources: A review
Alireza Zendehboudi et al.
JOURNAL OF CLEANER PRODUCTION (2018)
A Comparative Study of Three Fault Diagnosis Schemes for Wind Turbines
Satadru Dey et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2015)
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis-Part I: Components and Subsystems
Wei Qiao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Non-linear dynamics of wind turbine wings
J. W. Larsen et al.
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS (2006)
Share Paper
