A Comprehensive Literature Review on Slope Entropy Algorithm: Bridging Past Insights with Future Directions
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62269-4_10
Reference15 articles.
1. Bandt, C., Pompe, B.: Permutation entropy: a natural complexity measure for time series. Phys. Rev. Lett. 88(17), 174102 (2002)
2. Cuesta-Frau, D.: Slope entropy: a new time series complexity estimator based on both symbolic patterns and amplitude information. Entropy 21(12), 1167 (2019). https://doi.org/10.3390/e21121167
3. Li, Y., Tang, B., Huang, B., Xue, X.: A dual-optimization fault diagnosis method for rolling bearings based on hierarchical slope entropy and SVM synergized with shark optimization algorithm. Sensors 23(12), 5630 (2023). https://doi.org/10.3390/s23125630
4. Shi, E.: Single feature extraction method of bearing fault signals based on slope entropy. Shock. Vib. 2022, 1–9 (2022). https://doi.org/10.1155/2022/6808641
5. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423 (1948). https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
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