Fault diagnosis of wind turbine based on multisensors information fusion technology
暂无分享,去创建一个
[1] Ho-Sub Yoon,et al. Automated Speaker Recognition for Home Service Robots Using Genetic Algorithm and Dempster–Shafer Fusion Technique , 2009, IEEE Transactions on Instrumentation and Measurement.
[2] Homayoun Seraji,et al. A Multisensor Decision Fusion System for Terrain Safety Assessment , 2009, IEEE Transactions on Robotics.
[3] Andrey Temko,et al. Fuzzy integral based information fusion for classification of highly confusable non-speech sounds , 2008, Pattern Recognit..
[4] Wei Qiao,et al. Imbalance Fault Detection of Direct-Drive Wind Turbines Using Generator Current Signals , 2012 .
[5] Youren Wang,et al. A novel approach of analog circuit fault diagnosis using support vector machines classifier , 2011 .
[6] Xiyun Yang,et al. Wind Turbine Generator Condition-Monitoring Using Temperature Trend Analysis , 2012, IEEE Transactions on Sustainable Energy.
[7] Yaoyu Li,et al. A review of recent advances in wind turbine condition monitoring and fault diagnosis , 2009, 2009 IEEE Power Electronics and Machines in Wind Applications.
[8] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[9] Bo-Suk Yang,et al. Application of Dempster–Shafer theory in fault diagnosis of induction motors using vibration and current signals , 2006 .
[10] Dimitar Filev,et al. On the issue of obtaining OWA operator weights , 1998, Fuzzy Sets Syst..
[11] Luis Romeral,et al. Short-Circuit Detection by Means of Empirical Mode Decomposition and Wigner–Ville Distribution for PMSM Running Under Dynamic Condition , 2009, IEEE Transactions on Industrial Electronics.
[12] Jiong Tang,et al. Wind Turbine Gearbox Fault Detection Using Multiple Sensors With Features Level Data Fusion , 2012 .
[13] Ronald R. Yager,et al. On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..
[14] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[15] Sung-Bae Cho,et al. Multiple network fusion using fuzzy logic , 1995, IEEE Trans. Neural Networks.
[16] Ahmad Ghasemloonia,et al. Application and comparison of an ANN-based feature selection method and the genetic algorithm in gearbox fault diagnosis , 2011, Expert Syst. Appl..
[17] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[18] K. I. Ramachandran,et al. Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN) , 2010, Expert Syst. Appl..
[19] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[20] Ruijin Liao,et al. An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning , 2011, IEEE Transactions on Power Delivery.
[21] Wenxian Yang,et al. Cost-Effective Condition Monitoring for Wind Turbines , 2010, IEEE Transactions on Industrial Electronics.
[22] Mohamed Cheriet,et al. Estimating accurate multi-class probabilities with support vector machines , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[23] Xiaofeng Liu,et al. Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques , 2009 .
[24] Sung-Bae Cho,et al. Combining multiple neural networks by fuzzy integral for robust classification , 1995, IEEE Trans. Syst. Man Cybern..
[25] Lijun Yang,et al. Fault diagnosis of power transformers using multi-class least square support vector machines classifiers with particle swarm optimisation , 2011 .
[26] Robert X. Gao,et al. Hilbert–Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring , 2006, IEEE Transactions on Instrumentation and Measurement.
[27] Robert Fullér,et al. An Analytic Approach for Obtaining Maximal Entropy Owa Operator Weights , 2001, Fuzzy Sets Syst..
[28] Sung-Hoon Ahn,et al. Condition monitoring and fault detection of wind turbines and related algorithms: A review , 2009 .
[29] Sami Othman,et al. Support Vector Machines for Fault Detection in Wind Turbines , 2011 .