The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines
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Citations
Cites
Adhi Harmoko, S., M.Komp, Jacquard, J. M., Zuse, K., & Eniac (2005) · Cited by 18,035
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Permutation Entropy: A Natural Complexity Measure for Time Series
Bandt, C., & Pompe, B. (2002) · Physical Review Letters · doi:10.1103/physrevlett.88.174102 · Cited by 4,867
On the Complexity of Finite Sequences
Lempel, A., & Ziv, J. (1976) · IEEE Transactions on Information Theory · doi:10.1109/tit.1976.1055501 · Cited by 2,717
Approximate entropy (ApEn) as a complexity measure
Pincus, S. (1995) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166092 · Cited by 1,213
Yang, X.-S. (2021) · Nature-Inspired Optimization Algorithms · doi:10.1016/b978-0-12-821986-7.00008-1 · Cited by 677
Detecting dynamical changes in time series using the permutation entropy
Cao, Y., Tung, W.-W., Gao, J. B., Protopopescu, V. A., & Hively, L. M. (2004) · Physical Review E · doi:10.1103/physreve.70.046217 · Cited by 544
Easily calculable measure for the complexity of spatiotemporal patterns
Kaspar, F., & Schuster, H. G. (1987) · Physical Review A · doi:10.1103/physreva.36.842 · Cited by 505
Approximate Entropy as a diagnostic tool for machine health monitoring
Yan, R., & Gao, R. X. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.02.009 · Cited by 454
Self-citationPredictability analysis of absence seizures with permutation entropy
Li, X., Ouyang, G., & Richards, D. A. (2007) · Epilepsy Research · doi:10.1016/j.eplepsyres.2007.08.002 · Cited by 290
Cited by
Zhang, X., Liang, Y., Zhou, J., & zang, Y. (2015) · Measurement · doi:10.1016/j.measurement.2015.03.017 · Cited by 586
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
Wang, D., Tsui, K.-L., & Miao, Q. (2018) · IEEE Access · doi:10.1109/access.2017.2774261 · Cited by 455
Huang, S., Wang, X., Li, C., & Kang, C. (2019) · Measurement · doi:10.1016/j.measurement.2019.01.026 · Cited by 69
Generalised local entropy analysis for crack detection in beam-like structures
Yang, Z., Chen, X., Jiang, Y., & He, Z. (2014) · Nondestructive Testing and Evaluation · doi:10.1080/10589759.2014.904312 · Cited by 24
Metadata
- Authors
- Yan, R., Liu, Y., & Gao, R. X.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 29
- Pages
- 474-484
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2060540122
- Cited by
- 377
- References
- 22
- FWCI
- 13.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines. https://app.cochat.ai/papers/10.1016/j.ymssp.2011.11.022
- The paper
- Yan, R., Liu, Y., & Gao, R. X. (2012). Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2011.11.022
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
