The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
EEMD method and WNN for fault diagnosis of locomotive roller bearings
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Cites
Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., & Liu, H. H. (1998) · Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.1998.0193 · Cited by 23,564
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
WU, Z., & HUANG, N. E. (2009) · Advances in Adaptive Data Analysis · doi:10.1142/s1793536909000047 · Cited by 8,715
Empirical Mode Decomposition as a Filter Bank
Flandrin, P., Rilling, G., & Goncalves, P. (2004) · IEEE Signal Processing Letters · doi:10.1109/lsp.2003.821662 · Cited by 2,583
Zhang, Q., & Benveniste, A. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.165591 · Cited by 2,091
A study of the characteristics of white noise using the empirical mode decomposition method
Wu, Z., & Huang, N. E. (2004) · Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2003.1221 · Cited by 1,701
Application of the EEMD method to rotor fault diagnosis of rotating machinery
Lei, Y., He, Z., & Zi, Y. (2009) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2008.11.005 · Cited by 587
Self-citationBearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform
Rai, V. K., & Mohanty, A. R. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.12.004 · Cited by 572
Samanta, B. (2004) · Mechanical Systems and Signal Processing · doi:10.1016/s0888-3270(03)00020-7 · Cited by 517
Fault diagnosis of rotating machinery based on multiple ANFIS combination with gas
Lei, Y., He, Z., Zi, Y., & Hu, Q. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.11.003 · Cited by 500
Self-citationA new approach to intelligent fault diagnosis of rotating machinery
Lei, Y., He, Z., & Zi, Y. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.08.072 · Cited by 388
Self-citation
Research works printed but not linked: 4
- Chen, 2006, Time-series prediction using a local linear wavelet neural network, Neurocomputing, 69, 449, 10.1016/j.neucom.2005.02.006 · doi:10.1016/j.neucom.2005.02.006
- Ghohizadeh, 2008, Structural optimization with frequency constraints by genetic algorithm using wavelet radial basis function neural network, Journal of Sound and Vibration, 312, 316, 10.1016/j.jsv.2007.10.050 · doi:10.1016/j.jsv.2007.10.050
- Lei, 2008, Application of a novel hybrid intelligent method to fault diagnosis of locomotive roller bearings, Transactions of the ASME: Journal of Vibration and Acoustics, 130, 0345011
- Lin, 2005, Adaptive wavelet neural network control for linear synchronous motor servo drive, IEEE Transactions on Magnetics, 41, 4401, 10.1109/TMAG.2005.858511 · doi:10.1109/tmag.2005.858511
Cited by
Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997
Self-citationZhang, X., Liang, Y., Zhou, J., & zang, Y. (2015) · Measurement · doi:10.1016/j.measurement.2015.03.017 · Cited by 586
Tang, S., Shen, C., Wang, D., Li, S., Huang, W., & Zhu, Z. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.04.048 · Cited by 94
Rolling element bearing fault diagnosis using improved manifold learning
Yao, B., Zhen, P., Wu, L., & Guan, Y. (2017) · IEEE Access · doi:10.1109/access.2017.2693379 · Cited by 48
Yu, J., Ding, B., & He, Y. (2018) · Journal of Mechanical Science and Technology · doi:10.1007/s12206-018-1018-7 · Cited by 28
Metadata
- Authors
- Lei, Y., He, Z., & Zi, Y.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 38
- Issue
- 6
- Pages
- 7334-7341
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2134502076
- Cited by
- 316
- References
- 19
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: EEMD method and WNN for fault diagnosis of locomotive roller bearings. https://app.cochat.ai/papers/10.1016/j.eswa.2010.12.095
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- Lei, Y., He, Z., & Zi, Y. (2011). EEMD method and WNN for fault diagnosis of locomotive roller bearings. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2010.12.095
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.
