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Actuator and Sensor Fault Classification for Wind Turbine Systems Based on Fast Fourier Transform and Uncorrelated Multi-Linear Principal Component Analysis Techniques

机译：基于快速傅里叶变换和不相关的多线性主成分分析技术的风力涡轮机系统执行器和传感器故障分类

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Yichuan Fu; Zhiwei Gao; Yuanhong Liu; Aihua Zhang; Xiuxia Yin;
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1. Classification of fault diagnosis in a gear wheel by used probabilistic neural network, fast Fourier transform and principal component analysis [J] . Piotr CZECH Transport Problems: an International Scientific Journal: Problemy Transportu . 2007,第4期

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2. The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform [J] . Renping Shao, Wentao Hu, Yayun Wang, Measurement . 2014,第Null期

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3. Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis [J] . Yoo Young-Jun International Journal of Precision Engineering and Manufacturing . 2019,第9期

机译：使用快速傅里叶变换通过主成分分析使用快速傅里叶变换的感应电动机故障检测
4. Sensor fault detection for industrial gas turbine system by using principal component analysis based y-distance indexes [C] . Zhang Y., Bingham C.M., Yang Z., 2012 8th International Symposium on Communication Systems, Networks amp; Digital Signal Processing . 2012

机译：基于主成分分析的y距离指标的工业燃气轮机传感器故障检测
5. MICROPROCESSOR CONTROL OF WIND-DRIVEN INDUCTION GENERATORS (SPACE HARMONICS, SYMMETRICAL COMPONENTS, FAST FOURIER TRANSFORM). [D] . RICHARDSON, ROBERT DAVID. 1985

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6. Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals [O] . Huichun Yu, Yongwei Wang, Jun Wang 2009

机译：基于电子鼻传感器信号主成分分析特征值的线性判别分析和反向传播神经网络技术识别茶叶贮藏时间
7. Classification of fault diagnosis in a gear wheel by used probabilistic neural network, fast Fourier transform and principal component analysis [O] . Piotr CZECH 2007

机译：基于概率神经网络，快速傅立叶变换和主成分分析的齿轮故障诊断分类

Actuator and Sensor Fault Classification for Wind Turbine Systems Based on Fast Fourier Transform and Uncorrelated Multi-Linear Principal Component Analysis Techniques

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