The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Application of Dempster–Shafer theory in fault diagnosis of induction motors using vibration and current signals
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Cites
An introduction to multisensor data fusion
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- Benbouzid, 2000, A review of induction motors signature analysis as a medium for faults detection, IEEE Transactions Industry Electronics, 47, 984, 10.1109/41.873206 · DOI · Paper page
- Yang, 2004, Case-based reasoning system with Petri nets for induction motor fault diagnosis, Expert Systems with Applications, 27, 301, 10.1016/j.eswa.2004.02.004 · DOI
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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-citationA survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory
Zhao, K., Li, L., Chen, Z., Sun, R., Yuan, G., & Li, J. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.109075 · Cited by 150
Survey on Models and Techniques for Root-Cause Analysis
Solé, M., Muntés-Mulero, V., Rana, A. I., & Estrada, G. (2017) · arXiv · doi:10.48550/arxiv.1701.08546 · Cited by 74
Metadata
- Authors
- Yang, B.-S., & Kim, K. J.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 20
- Issue
- 2
- Pages
- 403-420
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W1983303124
- Cited by
- 221
- References
- 2
- FWCI
- 9.99
- 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: Application of Dempster–Shafer theory in fault diagnosis of induction motors using vibration and current signals. https://app.cochat.ai/papers/10.1016/j.ymssp.2004.10.010
- The paper
- Yang, B.-S., & Kim, K. J. (2006). Application of Dempster–Shafer theory in fault diagnosis of induction motors using vibration and current signals. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2004.10.010
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.
