4.6 Article

Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

Machine intelligent and deep learning techniques for large training data in short-term wind speed and ramp event forecasting

Harsh S. Dhiman et al.

Summary: This study predicts ramp events using a hybrid method based on wavelet transform and learning algorithms for different locations, with SVR model showing the best performance among all models, and CNN performing better on larger training datasets.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2021)

Article Automation & Control Systems

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample

Syahril Ramadhan Saufi et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Green & Sustainable Science & Technology

Wind Turbine Pitch System Condition Monitoring and Fault Detection Based on Optimized Relevance Vector Machine Regression

Lu Wei et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)

Article Engineering, Electrical & Electronic

A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting

Mingjian Cui et al.

IEEE TRANSACTIONS ON SMART GRID (2019)

Article Automation & Control Systems

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

Guoqian Jiang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Green & Sustainable Science & Technology

Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis

Alfredo Arcos Jimenez et al.

RENEWABLE ENERGY (2019)

Article Green & Sustainable Science & Technology

Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis

Fangzhou Cheng et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)

Proceedings Paper Automation & Control Systems

Wavelet Transform and Variants of SVR with Application in Wind Forecasting

Harsh S. Dhiman et al.

INNOVATIONS IN INFRASTRUCTURE (2019)

Article Engineering, Electrical & Electronic

Multi-Physics Graphical Model-Based Fault Detection and Isolation in Wind Turbines

Aslan Mojallal et al.

IEEE TRANSACTIONS ON SMART GRID (2018)

Article Automation & Control Systems

Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information

Guoqian Jiang et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)

Article Green & Sustainable Science & Technology

SCADA-based wind turbine anomaly detection using Gaussian process models for wind turbine condition monitoring purposes

Ravi Kumar Pandit et al.

IET RENEWABLE POWER GENERATION (2018)

Article Green & Sustainable Science & Technology

Anomaly detection and fault analysis of wind turbine components based on deep learning network

Hongshan Zhao et al.

RENEWABLE ENERGY (2018)

Article Engineering, Electrical & Electronic

Wind Turbine Blade Breakage Monitoring With Deep Autoencoders

Long Wang et al.

IEEE TRANSACTIONS ON SMART GRID (2018)

Article Engineering, Multidisciplinary

Current-Based Fault Detection and Identification for Wind Turbine Drivetrain Gearboxes

Fangzhou Cheng et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2017)

Article Engineering, Electrical & Electronic

Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis

Guoqian Jiang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)

Article Green & Sustainable Science & Technology

Data-driven fault detection and isolation scheme for a wind turbine benchmark

Iury Valente de Bessa et al.

RENEWABLE ENERGY (2016)

Article Engineering, Electrical & Electronic

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

Pramod Bangalore et al.

IEEE TRANSACTIONS ON SMART GRID (2015)

Article Energy & Fuels

Condition Monitoring of Wind Power System With Nonparametric Regression Analysis

Nattavut Yampikulsakul et al.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2014)

Review Computer Science, Artificial Intelligence

Representation Learning: A Review and New Perspectives

Yoshua Bengio et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Article Green & Sustainable Science & Technology

Condition monitoring of wind turbines: Techniques and methods

Fausto Pedro Garcia Marquez et al.

RENEWABLE ENERGY (2012)

Article Green & Sustainable Science & Technology

Wind Turbine Condition Assessment Through Power Curve Copula Modeling

Simon Gill et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2012)

Article Green & Sustainable Science & Technology

A Data-Mining Approach to Monitoring Wind Turbines

Andrew Kusiak et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2012)

Article Computer Science, Theory & Methods

Anomaly detection

Varun Chandola et al.

ACM COMPUTING SURVEYS (2009)

Review Green & Sustainable Science & Technology

Condition monitoring and fault detection of wind turbines and related algorithms: A review

Z. Hameed et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2009)

Article Computer Science, Information Systems

LOF: Identifying density-based local outliers

MM Breunig et al.

SIGMOD RECORD (2000)