Li, R.; Ran, C.; Zhang, B.; Han, L.; Feng, S.
Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM. Appl. Sci. 2020, 10, 5542.
https://doi.org/10.3390/app10165542
AMA Style
Li R, Ran C, Zhang B, Han L, Feng S.
Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM. Applied Sciences. 2020; 10(16):5542.
https://doi.org/10.3390/app10165542
Chicago/Turabian Style
Li, Rui, Chao Ran, Bin Zhang, Leng Han, and Song Feng.
2020. "Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM" Applied Sciences 10, no. 16: 5542.
https://doi.org/10.3390/app10165542
APA Style
Li, R., Ran, C., Zhang, B., Han, L., & Feng, S.
(2020). Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM. Applied Sciences, 10(16), 5542.
https://doi.org/10.3390/app10165542