The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Wavelets for fault diagnosis of rotary machines: A review with applications
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Citations
Cites
Vibration analysis of rotating machinery using time–frequency analysis and wavelet techniques
Al-Badour, F., Sunar, M., & Cheded, L. (2011) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2011.01.017 · Cited by 353
Wu, J.-D., & Hsu, C.-C. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.02.026 · Cited by 74
Cited by
Artificial intelligence for fault diagnosis of rotating machinery: A review
Liu, R., Yang, B., Zio, E., & Chen, X. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.02.016 · Cited by 2,188
Self-citationA generic intelligent bearing fault diagnosis system using compact adaptive 1D CNN classifier
Eren, L., Ince, T., & Kiranyaz, S. (2019) · Journal of Signal Processing Systems · doi:10.1007/s11265-018-1378-3 · Cited by 723
Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks
Xia, M., Li, T., Xu, L., Liu, L., & de Silva, C. W. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2728371 · Cited by 723
Zhang, X., Liang, Y., Zhou, J., & zang, Y. (2015) · Measurement · doi:10.1016/j.measurement.2015.03.017 · Cited by 586
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Wang, J., Ye, L., Gao, R. X., Li, C., & Zhang, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1552032 · Cited by 552
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Metadata
- Authors
- Yan, R., Gao, R. X., & Chen, X.
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 96
- Pages
- 1-15
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W2060304859
- Cited by
- 1,446
- References
- 2
- FWCI
- 105.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Wavelets for fault diagnosis of rotary machines: A review with applications. https://app.cochat.ai/papers/10.1016/j.sigpro.2013.04.015
- The paper
- Yan, R., Gao, R. X., & Chen, X. (2014). Wavelets for fault diagnosis of rotary machines: A review with applications. Signal Processing. https://doi.org/10.1016/j.sigpro.2013.04.015
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.