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D.Sc., Ph.D. Phong B. Dao
Employment
- 2020 - present Associate Professor at AGH University of Science and Technology
- 2011 - 2020 Assistant Professor at AGH University of Science and Technology
- 2006 - 2011 Researcher at University of Twente
Publications
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total: 24
Catalog Publications
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Cointegration Modelling for Health and Condition Monitoring of Wind Turbines - An Overview
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An Experimental Study on the Effect of Temperature on Acoustic Emission Characteristics in Metallic Structures
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Damage Detection Using Cointegration Technique and Wavelet Analysis of the Post-Cointegrated Lamb Waves
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OROMACS: A Design Framework for Multi-agent Control System
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Damage Detection in Composite Materials Using Hyperspectral Imaging
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Safe-Guarded Agent Design Pattern for Mechatronic Systems
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Cointegration and wavelet-analysis-based approach for Lamb-wave-based structural damage detection
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Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems
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On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data
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Lamb Wave Based Structural Damage Detection Using Stationarity Tests
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Cointegration and how it works for structural health monitoring
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Operational Condition Monitoring of Wind Turbines Using Cointegration Method
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Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
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Nonlinear Cointegration Approach for Condition Monitoring of Wind Turbines
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Stationarity-Based Approach for the Selection of Lag Length in Cointegration Analysis Used for Structural Damage Detection
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A CUSUM-Based Approach for Condition Monitoring and Fault Diagnosis of Wind Turbines
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Towards homoscedastic nonlinear cointegration for structural health monitoring
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Impact damage detection in smart composites using nonlinear acoustics—cointegration analysis for removal of undesired load effect
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Data normalisation for Lamb wave–based damage detection using cointegration: A case study with single- and multiple-temperature trends
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On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines
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Lamb wave based structural damage detection using cointegration and fractal signal processing
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Condition monitoring and fault diagnosis of wind turbines based on structural break detection in SCADA data
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Cointegration approach for temperature effect compensation in Lamb-wave-based damage detection
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Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
Publication
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