Intelligent fault diagnosis of planetary gearbox based on refined composite hierarchical fuzzy entropy and random forest.
暂无分享,去创建一个
Wenhu Huang | Minqiang Xu | Yuantao Yang | Yu Wei | Minqiang Xu | Yu Wei | Wenhu Huang | Yuantao Yang
[1] Joydeep Ghosh,et al. Investigation of the random forest framework for classification of hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[2] Ming J. Zuo,et al. Dynamic modeling of gearbox faults: A review , 2018 .
[3] Nicolas Morizet,et al. Classification of acoustic emission signals using wavelets and Random Forests : Application to localized corrosion , 2016 .
[4] Ming J. Zuo,et al. A windowing and mapping strategy for gear tooth fault detection of a planetary gearbox , 2016 .
[5] Yaguo Lei,et al. Condition monitoring and fault diagnosis of planetary gearboxes: A review , 2014 .
[6] Chun-Chieh Wang,et al. Time Series Analysis Using Composite Multiscale Entropy , 2013, Entropy.
[7] Guoyan Li,et al. Fault Diagnosis for a Multistage Planetary Gear Set Using Model-Based Simulation and Experimental Investigation , 2016 .
[8] Bo-Suk Yang,et al. Random forests classifier for machine fault diagnosis , 2008 .
[9] Guiji Tang,et al. Gearbox Fault Diagnosis Based on Hierarchical Instantaneous Energy Density Dispersion Entropy and Dynamic Time Warping , 2019, Entropy.
[10] Xiwen Qin,et al. The Fault Diagnosis of Rolling Bearing Based on Ensemble Empirical Mode Decomposition and Random Forest , 2017 .
[11] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[12] Haiyang Pan,et al. Sigmoid-based refined composite multiscale fuzzy entropy and t-SNE based fault diagnosis approach for rolling bearing , 2018, Measurement.
[13] Weiting Chen,et al. Measuring complexity using FuzzyEn, ApEn, and SampEn. , 2009, Medical engineering & physics.
[14] Yuhao Wang,et al. Intelligent Fault Diagnosis of HVCB with Feature Space Optimization-Based Random Forest , 2018, Sensors.
[15] Jianzhong Zhou,et al. A Comprehensive Fault Diagnosis Method for Rolling Bearings Based on Refined Composite Multiscale Dispersion Entropy and Fast Ensemble Empirical Mode Decomposition , 2019, Entropy.
[16] Peter W. Tse,et al. A method combining refined composite multiscale fuzzy entropy with PSO-SVM for roller bearing fault diagnosis , 2019, Journal of Central South University.
[17] Xi Zhang,et al. Gearbox Composite Fault Diagnosis Method Based on Minimum Entropy Deconvolution and Improved Dual-Tree Complex Wavelet Transform , 2018, Entropy.
[18] Ming J. Zuo,et al. A diagnostic signal selection scheme for planetary gearbox vibration monitoring under non-stationary operational conditions , 2017 .
[19] Yaguo Lei,et al. Fault detection of planetary gearboxes using new diagnostic parameters , 2012 .
[20] Youren Wang,et al. Research on Fault Diagnosis of Planetary Gearbox Based on Hierarchical Extreme Learning Machine , 2018, 2018 Prognostics and System Health Management Conference (PHM-Chongqing).
[21] Te Han,et al. Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier , 2016 .
[22] Tao Liu,et al. A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings , 2017, Entropy.
[23] Minqiang Xu,et al. A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection , 2017 .
[24] Ming J. Zuo,et al. Vibration signal models for fault diagnosis of planetary gearboxes , 2012 .
[25] Diego Cabrera,et al. Fault diagnosis in spur gears based on genetic algorithm and random forest , 2016 .
[26] Junsheng Cheng,et al. A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination , 2014 .
[27] Minqiang Xu,et al. A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network. , 2019, ISA transactions.
[28] Minqiang Xu,et al. Hierarchical fuzzy entropy and improved support vector machine based binary tree approach for rolling bearing fault diagnosis , 2016 .
[29] Shubin Si,et al. The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review , 2018, IEEE Access.
[30] Xianzhi Wang,et al. Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study , 2020, IEEE Transactions on Reliability.
[31] Minqiang Xu,et al. A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy , 2016 .
[32] Jong Sik Lee,et al. Fault Detection Prediction Using a Deep Belief Network-Based Multi-Classifier in the Semiconductor Manufacturing Process , 2019, Int. J. Softw. Eng. Knowl. Eng..
[33] Madalena Costa,et al. Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.
[34] Qinghua Zhang,et al. Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests , 2017, IEEE Sensors Journal.
[35] Zhijian Wang,et al. Multi-Fault Diagnosis of Gearbox Based on Improved Multipoint Optimal Minimum Entropy Deconvolution , 2018, Entropy.