SISTEMAS DE MONITORAMENTO DE CONDIÇÃO EM USINAS EÓLICAS

[1]  Xiandong Ma,et al.  Model-based and fuzzy logic approaches to condition monitoring of operational wind turbines , 2015, Int. J. Autom. Comput..

[2]  John M Colford,et al.  Systematic reviews and meta-analyses: an illustrated, step-by-step guide. , 2004, The National medical journal of India.

[3]  Young-Chon Kim,et al.  Wireless communication architectures based on data aggregation for internal monitoring of large-scale wind turbines , 2016, Int. J. Distributed Sens. Networks.

[4]  Fouad Slaoui-Hasnaoui,et al.  Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges , 2014 .

[5]  Slim Soua,et al.  Vestas V90-3MW Wind Turbine Gearbox Health Assessment Using a Vibration-Based Condition Monitoring System , 2016 .

[6]  Jae-Kyung Lee,et al.  Implementation of a torque and a collective pitch controller in a wind turbine simulator to characterize the dynamics at three control regions , 2015 .

[7]  Poul Henning Kirkegaard,et al.  Cost‐effective shaft torque observer for condition monitoring of wind turbines , 2013 .

[8]  W. Y. Liu,et al.  The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review , 2015 .

[9]  Slim Soua,et al.  An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades , 2016 .

[10]  Fausto Pedro García Márquez,et al.  Ice detection using thermal infrared radiometry on wind turbine blades , 2016 .

[11]  Lina Bertling Tjernberg,et al.  An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings , 2015, IEEE Transactions on Smart Grid.

[12]  Diego Galar,et al.  Developing RCM strategy for wind turbines utilizing e-condition monitoring , 2015, Int. J. Syst. Assur. Eng. Manag..

[13]  Hui Li,et al.  Vibration condition monitoring system for wind turbine bearings based on noise suppression with multi-point data fusion , 2016 .

[14]  Bongtae Han,et al.  Autocorrelation-based time synchronous averaging for condition monitoring of planetary gearboxes in wind turbines , 2016 .

[15]  Fausto Pedro García Márquez,et al.  A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines , 2016 .

[16]  Donald M. Hepburn,et al.  Detection and classification of faults in pitch-regulated wind turbine generators using normal behaviour models based on performance curves , 2017 .

[17]  Tomasz Barszcz,et al.  The use of a fuzzy logic approach for integration of vibration-based diagnostic features of rolling element bearings , 2015 .

[18]  Joachim Peinke,et al.  Langevin power curve analysis for numerical wind energy converter models with new insights on high frequency power performance , 2015, 1511.01765.

[19]  Yibing Liu,et al.  Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform , 2016 .

[20]  Mayorkinos Papaelias,et al.  Identification of critical components of wind turbines using FTA over the time , 2016 .

[21]  Vijanth S. Asirvadam,et al.  An on-line condition monitoring system for induction motors via instantaneous power analysis , 2015 .

[22]  Allan May,et al.  Economic analysis of condition monitoring systems for offshore wind turbine sub-systems , 2014 .

[23]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[24]  Eleonora Borgia,et al.  The Internet of Things vision: Key features, applications and open issues , 2014, Comput. Commun..

[25]  Ahmad Lotfi,et al.  Condition monitoring of helical gears using automated selection of features and sensors , 2016 .

[26]  Fausto Pedro García Márquez,et al.  Economic viability analysis for icing blades detection in wind turbines , 2016 .

[27]  Yanyang Zi,et al.  Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals , 2016 .

[28]  Peter Fogh Odgaard,et al.  Gear-box fault detection using time-frequency based methods , 2015, Annu. Rev. Control..

[29]  Yolanda Vidal,et al.  Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via a Discrete Time Controller with a Disturbance Compensator , 2015 .

[30]  Fausto Pedro García Márquez,et al.  Wavelet transforms and pattern recognition on ultrasonic guides waves for frozen surface state diagnosis , 2018 .

[31]  Simon J. Watson,et al.  Feasibility of a fully autonomous wireless monitoring system for a wind turbine blade , 2016 .

[32]  Wenxian Yang,et al.  Research on a power quality monitoring technique for individual wind turbines , 2015 .

[33]  Joon-Young Park,et al.  A Novel Method and its Field Tests for Monitoring and Diagnosing Blade Health for Wind Turbines , 2015, IEEE Transactions on Instrumentation and Measurement.

[34]  Mario Orestes Aguirre González,et al.  A integração do cliente no processo de desenvolvimento de produto: revisão bibliográfica sistemática e temas para pesquisa , 2011 .

[35]  Songling Huang,et al.  Laser based measurement for the monitoring of shaft misalignment. , 2016 .

[36]  Chengliang Liu,et al.  Dynamic analysis of wind turbines including nacelle–tower–foundation interaction for condition of incomplete structural parameters , 2017 .

[37]  Nadège Bouchonneau,et al.  A review of wind turbine bearing condition monitoring: State of the art and challenges , 2016 .

[38]  Douglas E. Adams,et al.  Wind turbine rotor imbalance detection using nacelle and blade measurements , 2015 .

[39]  Hao Wang,et al.  Study of Wind Turbine Fault Diagnosis Based on Unscented Kalman Filter and SCADA Data , 2016 .

[40]  R. Uma Maheswari,et al.  Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey , 2017 .

[41]  Jae-Kyung Lee,et al.  Transformation algorithm of wind turbine blade moment signals for blade condition monitoring , 2015 .

[42]  Athanasios Kolios,et al.  Failure Mode Identification and End of Life Scenarios of Offshore Wind Turbines: A Review , 2015 .

[43]  Jing Yuan,et al.  Customized maximal-overlap multiwavelet denoising with data-driven group threshold for condition monitoring of rolling mill drivetrain , 2016 .

[44]  E I Konstantinidis,et al.  Wind turbines: current status, obstacles, trends and technologies , 2016 .

[45]  Wilhelm Stork,et al.  Reliable and lightning‐safe monitoring of wind turbine rotor blades using optically powered sensors , 2014 .

[46]  Xiandong Ma,et al.  Reducing sensor complexity for monitoring wind turbine performance using principal component analysis , 2016 .

[47]  Wenxian Yang,et al.  Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data , 2018 .