Multichannel fault diagnosis of wind turbine driving system using multivariate singular spectrum decomposition and improved Kolmogorov complexity

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions

(2020) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent fault diagnosis of Wind Turbines via a Deep Learning Network Using Parallel Convolution Layers with Multi-Scale Kernels

(2020) Yuanhong Chang et al.   RENEWABLE ENERGY

Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis

(2020) Zhenya Wang et al.   RENEWABLE ENERGY

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

(2019) Xuejun Chen et al.   ENERGY

Fault diagnosis of bearing based on Symbolic Aggregate approXimation and Lempel-Ziv

(2019) Jiancheng Yin et al.   MEASUREMENT

Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform

(2019) Wei Teng et al.   RENEWABLE ENERGY

Multivariate Variational Mode Decomposition

(2019) Naveed ur Rehman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal

(2019) Yonghao Miao et al.   RENEWABLE ENERGY

Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method

(2019) Zepeng Liu et al.   RENEWABLE ENERGY

Fault diagnosis of high-speed train suspension systems using multiscale permutation entropy and linear local tangent space alignment

(2019) Yunguang Ye et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis

(2018) Jinde Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Parameter-varying modelling and fault reconstruction for wind turbine systems

(2018) Hui Shao et al.   RENEWABLE ENERGY

Real-time monitoring, prognosis, and resilient control for wind turbine systems

(2018) Zhiwei Gao et al.   RENEWABLE ENERGY

Anomaly detection and fault analysis of wind turbine components based on deep learning network

(2018) Hongshan Zhao et al.   RENEWABLE ENERGY

Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations

(2018) Zhixiong Li et al.   RENEWABLE ENERGY

A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine

(2018) Q.W. Gao et al.   RENEWABLE ENERGY

A novel intelligent detection method for rolling bearing based on IVMD and instantaneous energy distribution-permutation entropy

(2018) Xiaoan Yan et al.   MEASUREMENT

Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear

(2018) Yun Kong et al.   RENEWABLE ENERGY

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Fault diagnosis of wind turbine bearing based on variational mode decomposition and Teager energy operator

(2017) Hongshan Zhao et al.   IET Renewable Power Generation

Complex variational mode decomposition for signal processing applications

(2017) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection

(2017) Yongbo Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An artificial neural network-based condition monitoring method for wind turbines, with application to the monitoring of the gearbox

(2017) P. Bangalore et al.   WIND ENERGY

Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings

(2016) Hamed Azami et al.   Biomedical Signal Processing and Control

Diagnosing planetary gear faults using the fuzzy entropy of LMD and ANFIS

(2016) Xihui Chen et al.   Journal of Mechanical Science and Technology

Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing

(2016) Yong Lv et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform

(2016) Wei Teng et al.   RENEWABLE ENERGY

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

(2016) Jinglong Chen et al.   RENEWABLE ENERGY

Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

(2015) Wei Qiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of rolling bearing based on second generation wavelet denoising and morphological filter

(2015) Lingjie Meng et al.   Journal of Mechanical Science and Technology

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

A fault diagnosis method combined with LMD, sample entropy and energy ratio for roller bearings

(2015) Minghong Han et al.   MEASUREMENT

Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

(2015) Pak Kin Wong et al.   RENEWABLE ENERGY

A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension

(2015) Aijun Hu et al.   RENEWABLE ENERGY

A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings

(2014) Huanhuan Liu et al.   MECHANISM AND MACHINE THEORY

Roller element bearing fault diagnosis using singular spectrum analysis

(2012) Bubathi Muruganatham et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation

(2012) Zhipeng Feng et al.   RENEWABLE ENERGY

A new wind turbine fault diagnosis method based on the local mean decomposition

(2012) W.Y. Liu et al.   RENEWABLE ENERGY

Entropy Measures vs. Kolmogorov Complexity

(2011) Andreia Teixeira et al.   Entropy

Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

(2011) Wenxian Yang et al.   JOURNAL OF SOUND AND VIBRATION

Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing

(2011) Xueli An et al.   JOURNAL OF VIBRATION AND CONTROL

Multivariate empirical mode decomposition and application to multichannel filtering

(2011) Julien Fleureau et al.   SIGNAL PROCESSING

The complex local mean decomposition

(2010) Cheolsoo Park et al.   NEUROCOMPUTING

Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution

(2010) Baoping Tang et al.   RENEWABLE ENERGY