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Yang Song et al.
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Yifan Dong et al.
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Ahmed Elsheikh et al.
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Scaling feature selection method for enhancing the classification performance of Support Vector Machines in text mining
S. Manochandar et al.
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Yaguo Lei et al.
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Yuting Wu et al.
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Jason Deutsch et al.
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Racha Khelif et al.
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Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering
Akhand Rai et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Liang Guo et al.
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Lotfi Saidi et al.
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Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element Bearings
Bin Zhang et al.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2016)
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Feng Jia et al.
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An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings
Naipeng Li et al.
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Rodney K. Singleton et al.
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Abdenour Soualhi et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
A review on prognostic techniques for non-stationary and non-linear rotating systems
Man Shan Kan et al.
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A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models
Diego Alejandro Tobon-Mejia et al.
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Van Tung Tran et al.
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Predicting remaining useful life of rotating machinery based artificial neural network
Abd Kadir Mahamad et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2010)
Stochastic gradient boosting
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Improved instantaneous frequency estimation using an adaptive short-time Fourier transform
HK Kwok et al.
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