The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ART–KOHONEN neural network for fault diagnosis of rotating machinery
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Citations
Cites
A massively parallel architecture for a self-organizing neural pattern recognition machine
Carpenter, G. A., & Grossberg, S. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(87)80014-2 · Cited by 2,525
Research works printed but not linked: 11
- Liobet, 1999, Fuzzy ARTMAP based electronic nose data analysis, Sensors and Actuators B, 61, 183, 10.1016/S0925-4005(99)00288-9 · DOI
- Carpenter, 1988, The ART of adaptive pattern recognition by a self-organizing neural network, IEEE Transactions on Computers, 21, 77
- Carpenter, 1987, ART2, Applied Optics, 26, 217
- Carpenter, 1991, ART3, Neural Networks, 4, 129
- Carpenter, 1992, A self-organizing neural network, IEEE Communications Magazine, 30, 38, 10.1109/35.156802 · DOI · Paper page
- Gardner, 1996, Detection of vapours and odours from a multisensor array using pattern recognition, Measurement and Control, 29, 172, 10.1177/002029409602900603 · DOI
- Kohonen, 1996, Engineering application of the self-organizing map, Proceedings of the IEEE, 84, 1358, 10.1109/5.537105 · DOI · Paper page
- B.S. Yang, D.S. Lim, S.Y. Seo, M.H. Kim, Defect diagnostics of rotating machinery using SOFM and LVQ, Proceedings of Seventh International Congress on Sound and Vibration, Garmisch-Partenkirchen, Germany, July 4–7, 2000, pp. 567–574.
- B.S. Yang, D.S. Lim, J.L. An, Vibration diagnostic system of rotating machinery using artificial neural network and wavelet transform, Proceedings of the 13th International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, Houston, USA, December 3–8, 2000, pp. 923–932.
- B.S. Yang, D.S. Lim, K.K. Kim, Vibration diagnosis system of rotating machinery using radial basis function neural network, Proceedings of the 4th International Conference on Quality Reliability Maintenance, University of Oxford, England, March 21–22, 2002.
- T. Han, Feature extraction of vibration signal for machinery condition monitoring, Master Thesis, Pukyong National University, 2002, pp. 1–61.
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-citationSupport 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
Self-citationFault 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
Xie, H.-B., Zheng, Y.-P., & Guo, J.-Y. (2009) · Physiological Measurement · doi:10.1088/0967-3334/30/5/002 · Cited by 118
Feature‐based fault diagnosis system of induction motors using vibration signal
Han, T., Yang, B., & Yin, Z. (2007) · Journal of Quality in Maintenance Engineering · doi:10.1108/13552510710753069 · Cited by 37
Self-citation
Metadata
- Authors
- Yang, B. S., Han, T., & An, J. L.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 18
- Issue
- 3
- Pages
- 645-657
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W1973389764
- Cited by
- 206
- References
- 1
- FWCI
- 11.70
- 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: ART–KOHONEN neural network for fault diagnosis of rotating machinery. https://app.cochat.ai/papers/10.1016/s0888-3270(03)00073-6
- The paper
- Yang, B. S., Han, T., & An, J. L. (2004). ART–KOHONEN neural network for fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing. https://doi.org/10.1016/s0888-3270(03)00073-6
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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.
