Application of Improved Genetic Programming for Feature Extraction in the Evaluation of Bearing Performance Degradation
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[1] Peter W. Tse,et al. Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method , 2015 .
[2] Hsing-Chih Tsai,et al. Determining ultimate bearing capacity of shallow foundations using a genetic programming system , 2012, Neural Computing and Applications.
[3] Luc Boullart,et al. Genetic programming: principles and applications , 2001 .
[4] YangBo-Suk,et al. Application of relevance vector machine and survival probability to machine degradation assessment , 2011 .
[5] Alaa Elwany,et al. Sensor-driven prognostic models for equipment replacement and spare parts inventory , 2008 .
[6] Noureddine Zerhouni,et al. Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data , 2013, 2013 European Control Conference (ECC).
[7] Yaguo Lei,et al. An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings , 2015, IEEE Transactions on Industrial Electronics.
[8] Fulei Chu,et al. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography , 2004 .
[9] David He,et al. Gear Health Threshold Setting Based On a Probability of False Alarm , 2011 .
[10] Ruoyu Li,et al. Fault features extraction for bearing prognostics , 2012, J. Intell. Manuf..
[11] Yanyang Zi,et al. A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem , 2016, IEEE Transactions on Industrial Informatics.
[12] Linxia Liao,et al. Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction , 2014, IEEE Transactions on Industrial Electronics.
[13] Pavle Boskoski,et al. Bearing fault prognostics based on signal complexity and Gaussian process models , 2012, 2012 IEEE Conference on Prognostics and Health Management.
[14] Xiao-Sheng Si,et al. An Age- and State-Dependent Nonlinear Prognostic Model for Degrading Systems , 2015, IEEE Transactions on Reliability.
[15] Yaguo Lei,et al. A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction , 2016, IEEE Transactions on Instrumentation and Measurement.
[16] Yaguo Lei,et al. Machinery health prognostics: A systematic review from data acquisition to RUL prediction , 2018 .
[17] K. Loparo,et al. Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling : A method for bearing prognostics , 2007 .
[18] Yongyong He,et al. Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery , 2005 .
[19] Peter Nordin,et al. Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .
[20] Hong Guo,et al. Automated feature extraction using genetic programming for bearing condition monitoring , 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..