Dynamic Remaining Useful Life Estimation for a Shaft Bearings System
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[1] Mohamed Haddar,et al. Digital twin-driven machine learning: ball bearings fault severity classification , 2020 .
[2] David He,et al. Processing for improved spectral analysis , 2013 .
[3] Yaguo Lei,et al. Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery , 2016 .
[4] Jesus Olivares-Mercado,et al. Multidimensional Features Extraction Methods in Frequency Domain , 2012 .
[5] Zhiqiang Long,et al. A hybrid prognostics approach for estimating remaining useful life of wind turbine bearings , 2020 .
[6] Yaguo Lei. Remaining useful life prediction , 2017 .
[7] George J. Vachtsevanos,et al. Machine Remaining Useful Life Prediction Based on Adaptive Neuro-Fuzzy and High-Order Particle Filtering , 2010 .
[8] Donghua Zhou,et al. A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution , 2013, Eur. J. Oper. Res..
[9] Jamie B. Coble,et al. Merging Data Sources to Predict Remaining Useful Life – An Automated Method to Identify Prognostic Parameters , 2010 .
[10] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[11] Yi Sun,et al. A Data-Driven Approach for Bearing Fault Prognostics , 2019, IEEE Transactions on Industry Applications.
[12] Xuefeng Kong,et al. Remaining Useful Life Prediction of Rolling Bearings Based on RMS-MAVE and Dynamic Exponential Regression Model , 2019, IEEE Access.
[13] Nagi Gebraeel,et al. Residual life predictions from vibration-based degradation signals: a neural network approach , 2004, IEEE Transactions on Industrial Electronics.
[14] Jie Liu,et al. A multi-step predictor with a variable input pattern for system state forecasting , 2009 .
[15] Mohamed Benbouzid,et al. Online automatic diagnosis of wind turbine bearings progressive degradations under real experimental conditions based on unsupervised machine learning , 2018 .
[16] Xavier Chiementin,et al. Dynamic classification method of fault indicators for bearings’ monitoring , 2013 .