The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM
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Cites
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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
A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum
Huang, N. E., Shen, Z., & Long, S. R. (1999) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.31.1.417 · Cited by 2,098
Tandon, N., & Choudhury, A. (1999) · Tribology International · doi:10.1016/s0301-679x(99)00077-8 · Cited by 1,351
Model for the vibration produced by a single point defect in a rolling element bearing
McFadden, P. D., & Smith, J. D. (1984) · Journal of Sound and Vibration · doi:10.1016/0022-460x(84)90595-9 · Cited by 931
McFadden, P. D., & Smith, J. D. (1984) · Tribology International · doi:10.1016/0301-679x(84)90076-8 · Cited by 813
Using support vector machines for time series prediction
Thissen, U., van Brakel, R., de Weijer, A. P., Melssen, W. J., & Buydens, L. M. C. (2003) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(03)00111-4 · Cited by 540
Constructing support vector machine ensemble
Kim, H.-C., Pang, S., Je, H.-M., Kim, D., & Yang Bang, S. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(03)00175-4 · Cited by 478
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Research works printed but not linked: 5
- Tandon, 1992, Vibration and acoustic monitoring techniques for the detection of defects in rolling element bearings – a review, Shock and Vibration Digest, 24, 3, 10.1177/058310249202400303 · doi:10.1177/058310249202400303
- Barkov, 1995, Condition assessment and life prediction of rolling element bearings, Sound and Vibration, 38, 10
- R.B. Randall, Hilbert transform techniques in machine diagnostics. IFToMM International Conference on Rotordynamics, Tokyo, 1986.
- Brown, 1989, Envelope analysis detects bearing faults before major damage occurs, Pulp and Paper, 63, 113
- R.B. Randall, Y. Gao, Masking effects in digital envelope analysis of faulty bearing signals, in: 6th International Conference on Vibrations in Rotating Machinery, ImechE, Oxford, 1996, pp. 351–359.
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
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
Rai, A., & Upadhyay, S. H. (2016) · Tribology International · doi:10.1016/j.triboint.2015.12.037 · Cited by 804
Lu, C., Wang, Z., & Zhou, B. (2017) · Advanced Engineering Informatics · doi:10.1016/j.aei.2017.02.005 · Cited by 434
Peng, D., Liu, Z., Wang, H., Qin, Y., & Jia, L. (2019) · IEEE Access · doi:10.1109/access.2018.2888842 · Cited by 271
Appana, D. K., Prosvirin, A., & Kim, J.-M. (2018) · Soft Computing · doi:10.1007/s00500-018-3256-0 · Cited by 86
Metadata
- Authors
- Yang, Y., Yu, D., & Cheng, J.
- Venue
- Measurement
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 40
- Issue
- 9-10
- Pages
- 943-950
- ISSN
- 0263-2241 (ISSN-L)
- OpenAlex
- W2064474534
- Cited by
- 334
- References
- 20
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- Yang, Y., Yu, D., & Cheng, J. (2007). A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM. Measurement. https://doi.org/10.1016/j.measurement.2006.10.010
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.
