Wind turbine fault detection based on expanded linguistic terms and rules using non-singleton fuzzy logic
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Hongfei Zhu | Jinhai Liu | Bowen Zhou | Fuming Qu | Bowen Zhou | Jinhai Liu | Fuming Qu | Hongfei Zhu
[1] George C. Mouzouris,et al. Nonsingleton fuzzy logic systems: theory and application , 1997, IEEE Trans. Fuzzy Syst..
[2] Huan Long,et al. Wind Turbine Gearbox Failure Identification With Deep Neural Networks , 2017, IEEE Transactions on Industrial Informatics.
[3] Wei Qiao,et al. A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods , 2015, IEEE Transactions on Industrial Electronics.
[4] Tahar Bahi,et al. Condition Monitoring and Fault Detection in Wind Turbine Based on DFIG by the Fuzzy Logic , 2015 .
[5] Silvio Simani,et al. Fault Diagnosis of a Wind Turbine Benchmark via Identified Fuzzy Models , 2015, IEEE Transactions on Industrial Electronics.
[6] Jerry M. Mendel,et al. Explaining the Performance Potential of Rule-Based Fuzzy Systems as a Greater Sculpting of the State Space , 2018, IEEE Transactions on Fuzzy Systems.
[7] Meik Schlechtingen,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 2: Application examples , 2014, Appl. Soft Comput..
[8] Yibing Liu,et al. Pitting Fault Detection of a Wind Turbine Gearbox Using Empirical Mode Decomposition , 2014 .
[9] Saad Mekhilef,et al. Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation , 2018 .
[10] Chuen-Tsai Sun,et al. Neuro-fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence [Books in Brief] , 1997, IEEE Transactions on Neural Networks.
[11] Yongqian Liu,et al. Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model , 2019, Applied Energy.
[12] Francesc Pozo,et al. Wind turbine fault detection and classification by means of image texture analysis , 2018, Mechanical Systems and Signal Processing.
[13] Pedro André Carvalho Rosas,et al. Prognostic techniques applied to maintenance of wind turbines: a concise and specific review , 2018 .
[14] Purushottam Gangsar,et al. Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms , 2017 .
[15] Sofiane Achiche,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description , 2013, Appl. Soft Comput..
[16] Ligang Wu,et al. Reliable Filter Design for Sensor Networks Using Type-2 Fuzzy Framework , 2017, IEEE Transactions on Industrial Informatics.
[17] Chao Liu,et al. An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring , 2018, Renewable Energy.
[18] Peter Tavner,et al. Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition. , 2015 .
[19] Peter Tavner,et al. Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS , 2013, Expert Syst. Appl..
[20] Anas Sakout,et al. Gearbox condition monitoring in wind turbines: A review , 2018, Mechanical Systems and Signal Processing.
[21] Ramin Moghaddass,et al. An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework , 2019, Applied Energy.
[22] Mengshi Li,et al. A radically data-driven method for fault detection and diagnosis in wind turbines , 2018, International Journal of Electrical Power & Energy Systems.
[23] Sergio Martín-Martínez,et al. Wind turbine reliability: A comprehensive review towards effective condition monitoring development , 2018, Applied Energy.
[24] Wei Qiao,et al. Multiscale Filtering Reconstruction for Wind Turbine Gearbox Fault Diagnosis Under Varying-Speed and Noisy Conditions , 2018, IEEE Transactions on Industrial Electronics.
[25] Hongwen He,et al. A new fault detection and fault location method for multi-terminal high voltage direct current of offshore wind farm , 2018, Applied Energy.
[26] Xiao Lei,et al. A generalized model for wind turbine anomaly identification based on SCADA data , 2016 .
[27] Huaguang Zhang,et al. A Small-Sample Wind Turbine Fault Detection Method With Synthetic Fault Data Using Generative Adversarial Nets , 2019, IEEE Transactions on Industrial Informatics.
[28] Shuangwen Sheng,et al. Monitoring of Wind Turbine Gearbox Condition through Oil and Wear Debris Analysis: A Full-Scale Testing Perspective , 2016 .
[29] Wei Ren,et al. Robustness Analysis of Asynchronous Sampled-Data Multiagent Networks With Time-Varying Delays , 2017, IEEE Transactions on Automatic Control.
[30] Liyan Qu,et al. Real-Time Aging Monitoring for IGBT Modules Using Case Temperature , 2016, IEEE Transactions on Industrial Electronics.
[31] Eugeniusz Rusiński,et al. Proactive Condition Monitoring of Low-Speed Machines , 2014 .
[32] Zijun Zhang,et al. Wind Turbine Modeling With Data-Driven Methods and Radially Uniform Designs , 2016, IEEE Transactions on Industrial Informatics.
[33] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[34] M. Schlechtingen,et al. Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study , 2013, IEEE Transactions on Sustainable Energy.
[35] Davide Astolfi,et al. Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment , 2017 .
[36] Eric Bechhoefer,et al. Online particle-contaminated lubrication oil condition monitoring and remaining useful life prediction for wind turbines , 2015 .
[37] Robert Ivor John,et al. A new dynamic approach for non-singleton fuzzification in noisy time-series prediction , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[38] Fausto Pedro García Márquez,et al. A survey of artificial neural network in wind energy systems , 2018, Applied Energy.
[39] Davide Astolfi,et al. Data mining techniques for performance analysis of onshore wind farms , 2015 .
[40] Alice M. Agogino,et al. Design of machine learning models with domain experts for automated sensor selection for energy fault detection , 2019, Applied Energy.
[41] H. L. Gray,et al. Applied time series analysis , 2011 .
[42] Yihui Zheng,et al. An ensemble system to predict the spatiotemporal distribution of energy security weaknesses in transmission networks , 2020 .
[43] Nadège Bouchonneau,et al. A review of wind turbine bearing condition monitoring: State of the art and challenges , 2016 .
[44] Xiyun Yang,et al. Wind Turbine Generator Condition-Monitoring Using Temperature Trend Analysis , 2012, IEEE Transactions on Sustainable Energy.
[45] J. Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .
[46] Daniel Hissel,et al. Online implementation of SVM based fault diagnosis strategy for PEMFC systems , 2015 .