Data Fusion Based on an Iterative Learning Algorithm for Fault Detection in Wind Turbine Pitch Control Systems

Iterative learning control with high-order internal model for first-order hyperbolic systems

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An intelligent parameter determination approach in iterative learning control

(2021) Phuoc Doan Nguyen et al.   EUROPEAN JOURNAL OF CONTROL

Synchronizing Non-identical Time-varying Delayed Neural Network Systems via Iterative Learning Control

(2020) Hao Qiang et al.   NEUROCOMPUTING

Application of Modern Multi-Sensor Holter in Diagnosis and Treatment

(2020) Erik Vavrinsky et al.   SENSORS

Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

(2020) Gisela Pujol-Vazquez et al.   Energies

A survey of data fusion in smart city applications

(2019) Billy Pik Lik Lau et al.   Information Fusion

Wind turbine fault detection and classification by means of image texture analysis

(2018) Magda Ruiz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via a Discrete Time Controller with a Disturbance Compensator

(2015) Yolanda Vidal et al.   Energies

Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors

(2015) Mark W. Blackwell et al.   INTERNATIONAL JOURNAL OF CONTROL

Performance analysis of statistical optimal data fusion algorithms

(2014) Youshen Xia et al.   INFORMATION SCIENCES

A Review of Data Fusion Techniques

(2013) Federico Castanedo   TheScientificWorldJOURNAL