The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Health assessment and life prediction of cutting tools based on support vector regression
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Citations
Cites
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Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Schölkopf, B., & Smola, A. J. (2001) · The MIT Press eBooks · doi:10.7551/mitpress/4175.001.0001 · Cited by 11,703
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2005.09.012 · Cited by 4,816
Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing
Vapnik, V. N., Golowich, S. E., & Smola, A. J. (1997) · Cited by 2,757
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van der Maaten, L. J. P., Postma, E. O., & van den Herik, H. J. (2009) · Cited by 2,061
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Intelligent Fault Diagnosis and Prognosis for Engineering Systems
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Cited by
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Lei, Y., Li, N., Guo, L., Li, N., Yan, T., & Lin, J. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.11.016 · Cited by 2,634
Journal of Intelligent Manufacturing
(2013) · Journal of Intelligent Manufacturing · doi:10.1007/10845.1572-8145 · Cited by 917
Wu, D., Jennings, C., Terpenny, J., Gao, R. X., & Kumara, S. (2017) · Journal of Manufacturing Science and Engineering · doi:10.1115/1.4036350 · Cited by 677
Machine learning in medical applications: a review of state-of-the-art methods
Shehab, M., Abualigah, L., Shambour, Q., Abu-Hashem, M. A., Shambour, M. K. Y., Alsalibi, A. I., & Gandomi, A. H. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105458 · Cited by 542
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
Metadata
- Authors
- Benkedjouh, T., Medjaher, K., Zerhouni, N., & Rechak, S.
- Venue
- Journal of Intelligent Manufacturing
- Published
- 2013-04-19
- Volume
- 26
- Issue
- 2
- Pages
- 213-223
- ISSN
- 0956-5515 (ISSN-L)
- 1572-8145
- OpenAlex
- W2069262928
- Cited by
- 386
- References
- 28
- FWCI
- 16.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Health assessment and life prediction of cutting tools based on support vector regression. https://app.cochat.ai/papers/10.1007/s10845-013-0774-6
- The paper
- Benkedjouh, T., Medjaher, K., Zerhouni, N., & Rechak, S. (2015). Health assessment and life prediction of cutting tools based on support vector regression. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-013-0774-6
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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.
