Monitoring and Identifying Wind Turbine Generator Bearing Faults Using Deep Belief Network and EWMA Control Charts

Rainfall prediction using optimally pruned extreme learning machines

(2021) Huajin Li et al.   Natural Hazards

Feature learning for stacked ELM via low-rank matrix factorization

(2021) Tinghui Ouyang   NEUROCOMPUTING

Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework

(2021) Huajin Li et al.   Frontiers in Energy Research

Pedestrian-Aware Statistical Risk Assessment

(2021) Xun Shen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs

(2021) Xun Shen et al.   IEEE Transactions on Neural Networks and Learning Systems

ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation

(2020) Zhiyu Sun et al.   COMPUTER GRAPHICS FORUM

DEM investigation on the mechanical behaviors of flawed specimens subjected to coupled static-dynamic loads

(2020) Peng Feng et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Modeling and predicting reservoir landslide displacement with deep belief network and EWMA control charts: a case study in Three Gorges Reservoir

(2019) Huajin Li et al.   Landslides

Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models

(2018) Huajin Li et al.   Landslides

Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy

(2018) Cédric Peeters et al.   RENEWABLE ENERGY

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

(2018) Wenguang Yang et al.   RENEWABLE ENERGY

Wind Turbine Blade Breakage Monitoring With Deep Autoencoders

(2018) Long Wang et al.   IEEE Transactions on Smart Grid

KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides

(2018) Poonam Pandey et al.   JOURNAL OF PROTEOME RESEARCH

Quantum Relief algorithm

(2018) Wen-Jie Liu et al.   Quantum Information Processing

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD

(2017) Boyuan Yang et al.   IEEE Transactions on Industrial Informatics

A hybrid machine learning and computing model for forecasting displacement of multifactor-induced landslides

(2017) Xing Zhu et al.   NEURAL COMPUTING & APPLICATIONS

Deep learning for automated drivetrain fault detection

(2017) Martin Bach-Andersen et al.   WIND ENERGY

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform

(2016) Wei Teng et al.   RENEWABLE ENERGY

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Wind turbine condition monitoring by the approach of SCADA data analysis

(2013) Wenxian Yang et al.   RENEWABLE ENERGY

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition

(2013) Yaguo Lei et al.   SENSORS

Wavelets for fault diagnosis of rotary machines: A review with applications

(2013) Ruqiang Yan et al.   SIGNAL PROCESSING

Analyzing bearing faults in wind turbines: A data-mining approach

(2012) Andrew Kusiak et al.   RENEWABLE ENERGY

Study of weather and location effects on wind turbine failure rates

(2012) P.J. Tavner et al.   WIND ENERGY

Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP

(2010) Dong Yu et al.   IEEE SIGNAL PROCESSING MAGAZINE

A review on Hilbert-Huang transform: Method and its applications to geophysical studies

(2008) Norden E. Huang et al.   REVIEWS OF GEOPHYSICS