The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Approximate Entropy as a diagnostic tool for machine health monitoring
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Citations
Cites
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
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
Peng, Z. K., & Chu, F. L. (2004) · Mechanical Systems and Signal Processing · doi:10.1016/s0888-3270(03)00075-x · Cited by 1,192
Theiler, J. (1990) · Journal of the Optical Society of America A · doi:10.1364/josaa.7.001055 · Cited by 947
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
EEG complexity as a measure of depth of anesthesia for patients
Zhang, X.-S., Roy, R. J., & Jensen, E. W. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.966601 · Cited by 495
Non-linear analysis of EEG signals at various sleep stages
Acharya U., R., Faust, O., Kannathal, N., Chua, T., & Laxminarayan, S. (2005) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2005.06.011 · Cited by 413
Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis
Dyer, D., & Stewart, R. M. (1978) · Journal of Mechanical Design · doi:10.1115/1.3453905 · Cited by 354
The Claude Bernard Lecture, 1989 - Deterministic chaos: the science and the fiction
Ruelle, D. (1990) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1990.0010 · Cited by 317
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
Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
An, D., Kim, N. H., & Choi, J.-H. (2015) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2014.09.014 · Cited by 451
A summary of fault modelling and predictive health monitoring of rolling element bearings
El-Thalji, I., & Jantunen, E. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.02.008 · Cited by 447
Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines
Yan, R., Liu, Y., & Gao, R. X. (2012) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2011.11.022 · Cited by 377
Self-citation
Metadata
- Authors
- Yan, R., & Gao, R. X.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2007-02
- Volume
- 21
- Issue
- 2
- Pages
- 824-839
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2086315826
- Cited by
- 454
- References
- 22
- FWCI
- 12.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yan, R., & Gao, R. X. (2007). Approximate Entropy as a diagnostic tool for machine health monitoring. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2006.02.009
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.
