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Vibration analysis for bearing fault detection and classification using an intelligent filter
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Cites
Artificial neural networks and genetic algorithm for bearing fault detection
Samanta, B., Al-Balushi, K. R., & Al-Araimi, S. A. (2006) · Soft Computing · doi:10.1007/s00500-005-0481-0 · Cited by 182
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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
A survey on deep learning based bearing fault diagnosis
Hoang, D.-T., & Kang, H.-J. (2019) · Neurocomputing · doi:10.1016/j.neucom.2018.06.078 · Cited by 866
Rolling element bearing fault diagnosis using convolutional neural network and vibration image
Hoang, D.-T., & Kang, H.-J. (2019) · Cognitive Systems Research · doi:10.1016/j.cogsys.2018.03.002 · Cited by 450
A review of wind turbine bearing condition monitoring: State of the art and challenges
de Azevedo, H. D. M., Araújo, A. M., & Bouchonneau, N. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.032 · Cited by 382
Metadata
- Authors
- Zarei, J., Tajeddini, M. A., & Karimi, H. R.
- Venue
- Mechatronics
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 24
- Issue
- 2
- Pages
- 151-157
- ISSN
- 0957-4158 (ISSN-L)
- OpenAlex
- W1974225813
- Cited by
- 269
- References
- 1
- FWCI
- 27.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zarei, J., Tajeddini, M. A., & Karimi, H. R. (2014). Vibration analysis for bearing fault detection and classification using an intelligent filter. Mechatronics. https://doi.org/10.1016/j.mechatronics.2014.01.003
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.