The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
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Citations
Cites
Support vector machine in machine condition monitoring and fault diagnosis
Widodo, A., & Yang, B.-S. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.12.007 · Cited by 1,650
Data-based techniques focused on modern industry: An overview
Yin, S., Li, X., Gao, H., & Kaynak, O. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2308133 · Cited by 1,025
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
Widodo, A., Kim, E. Y., Son, J.-D., Yang, B.-S., Tan, A. C. C., Gu, D.-S., Choi, B.-K., & Mathew, J. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.09.033 · Cited by 324
Cited by
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616
Recent advances in sensor fault diagnosis: a review
Li, D., Wang, Y., Wang, J., Wang, C., & Duan, Y. (2020) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2020.111990 · Cited by 323
Metadata
- Authors
- Yin, Z., & Hou, J.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 174
- Pages
- 643-650
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W1937731213
- Cited by
- 345
- References
- 3
- FWCI
- 19.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Yin, Z., & Hou, J. (2016). Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes. Neurocomputing. https://doi.org/10.1016/j.neucom.2015.09.081
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.
