Fault state recognition of wind turbine gearbox based on generalized multi-scale dynamic time warping
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Bin Pang | Guiji Tang | Tian Tian | Guiji Tang | B. Pang | Tian Tian
[1] Fulei Chu,et al. Planet gear fault localization for wind turbine gearbox using acoustic emission signals , 2017 .
[2] Hao Yu,et al. Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management , 2019, Complex..
[3] Yaguo Lei,et al. Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings , 2017 .
[4] Minqiang Xu,et al. A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection , 2017 .
[5] Wei Qiao,et al. Fault Prognosis and Remaining Useful Life Prediction of Wind Turbine Gearboxes Using Current Signal Analysis , 2018, IEEE Transactions on Sustainable Energy.
[6] Lijun Wu,et al. Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents , 2018, Energy Conversion and Management.
[7] Yibing Liu,et al. Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform , 2019, Renewable Energy.
[8] Laurent Itti,et al. shapeDTW: Shape Dynamic Time Warping , 2016, Pattern Recognit..
[9] Ming J. Zuo,et al. Planetary Gearbox Fault diagnosis via Joint Amplitude and Frequency Demodulation Analysis Based on Variational Mode Decomposition , 2017 .
[10] Chao Hu,et al. On the bi-dimensional variational decomposition applied to nonstationary vibration signals for rolling bearing crack detection in coal cutters , 2016 .
[11] Christopher Durugbo,et al. Analysing RMS and peak values of vibration signals for condition monitoring of wind turbine gearboxes , 2016 .
[12] Yagang Zhang,et al. New Developments in Fault Analysis Based on Dynamical Perspective , 2016 .
[13] Jian-Jiun Ding,et al. Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine , 2012, Entropy.
[14] Robert B. Randall,et al. Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine , 2009 .
[15] Minqiang Xu,et al. An improvement EMD method based on the optimized rational Hermite interpolation approach and its application to gear fault diagnosis , 2015 .
[16] Bin Pang,et al. Enhanced Singular Spectrum Decomposition and Its Application to Rolling Bearing Fault Diagnosis , 2019, IEEE Access.
[17] Ary L. Goldberger,et al. Generalized Multiscale Entropy Analysis: Application to Quantifying the Complex Volatility of Human Heartbeat Time Series , 2015, Entropy.
[18] Hui Li,et al. Vibration condition monitoring system for wind turbine bearings based on noise suppression with multi-point data fusion , 2016 .
[19] Wahyu Caesarendra,et al. Detection of Deterioration of Three-phase Induction Motor using Vibration Signals , 2019 .
[20] Wenhua Du,et al. Research and application of improved adaptive MOMEDA fault diagnosis method , 2019, Measurement.
[21] Junsheng Cheng,et al. A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination , 2014 .
[22] Shuting Wan,et al. Bearing fault diagnosis based on teager energy entropy and mean-shift fuzzy C-means , 2020 .
[23] Andrew Kusiak,et al. Application of the multi-scale enveloping spectrogram to detect weak faults in a wind turbine gearbox , 2017 .
[24] Patrick Guillaume,et al. Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy , 2018 .
[25] Bing Li,et al. A new multiscale noise tuning stochastic resonance for enhanced fault diagnosis in wind turbine drivetrains , 2016 .
[26] Torgeir Moan,et al. Condition monitoring of spar-type floating wind turbine drivetrain using statistical fault diagnosis , 2018 .
[27] K. Stępień,et al. Comparative Study of Measurement Systems Used to Evaluate Vibrations of Rolling Bearings , 2017 .
[28] Yat-Sze Choy,et al. Multi-feature entropy distance approach with vibration and acoustic emission signals for process feature recognition of rolling element bearing faults , 2018 .
[29] Chris P. Tsokos,et al. Automatic object detection using dynamic time warping on ground penetrating radar signals , 2019, Expert Syst. Appl..
[30] Junsheng Cheng,et al. Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis , 2018 .
[31] Eric Bechhoefer,et al. Vibration-based wind turbine planetary gearbox fault diagnosis using spectral averaging , 2016 .
[32] Adam Glowacz,et al. Fault diagnosis of single-phase induction motor based on acoustic signals , 2019, Mechanical Systems and Signal Processing.
[33] Joao A. Teixeira,et al. Detection of natural crack in wind turbine gearbox , 2018 .
[34] Tian Han,et al. Fault diagnosis of rolling element bearings based on Multiscale Dynamic Time Warping , 2017 .
[35] Ling Xiang,et al. A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension , 2015 .
[36] Chen Lu,et al. Self-adaptive bearing fault diagnosis based on permutation entropy and manifold-based dynamic time warping , 2016, Mechanical Systems and Signal Processing.
[37] Wei Qiao,et al. Current-Based Gear Fault Detection for Wind Turbine Gearboxes , 2017, IEEE Transactions on Sustainable Energy.
[38] Vasilis K. Dertimanis,et al. Vibration-based experimental damage detection of a small-scale wind turbine blade , 2017 .
[39] W. Y. Liu,et al. A review on wind turbine noise mechanism and de-noising techniques , 2017 .
[40] Xuping Wang,et al. Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors , 2016 .
[41] Torgeir Moan,et al. Conceptual study of a gearbox fault detection method applied on a 5-MW spar-type floating wind turbine , 2018, Wind Energy.
[42] H. Azami,et al. Refined composite multivariate generalized multiscale fuzzy entropy: A tool for complexity analysis of multichannel signals , 2017 .
[43] Minping Jia,et al. Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder , 2020 .
[44] Mahardhika Pratama,et al. Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis , 2018, ArXiv.
[45] Shi Xu,et al. Speech Recognition Based on Efficient DTW Algorithm and Its DSP Implementation , 2012 .
[46] Madalena Costa,et al. Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.
[47] Minqiang Xu,et al. A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy , 2018 .
[48] Ming J. Zuo,et al. Amplitudes of characteristic frequencies for fault diagnosis of planetary gearbox , 2018, Journal of Sound and Vibration.
[49] Hashem Shariatmadar,et al. Structural health monitoring by a new hybrid feature extraction and dynamic time warping methods under ambient vibration and non-stationary signals , 2019, Measurement.
[50] Adam Glowacz,et al. Diagnosis of stator faults of the single-phase induction motor using acoustic signals , 2017 .
[51] Dong Zhang,et al. Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples , 2017, IEEE Access.
[52] Ming J. Zuo,et al. Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis , 2016 .