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An enhanced Kurtogram method for fault diagnosis of rolling element bearings
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Cited by
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
Rai, A., & Upadhyay, S. H. (2016) · Tribology International · doi:10.1016/j.triboint.2015.12.037 · Cited by 804
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
Chen, J., Li, Z., Pan, J., Chen, G., Zi, Y., Yuan, J., Chen, B., & He, Z. (2016) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.08.023 · Cited by 517
Moshrefzadeh, A., & Fasana, A. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.12.009 · Cited by 459
Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification
Miao, Y., Zhao, M., & Lin, J. (2017) · Measurement Science and Technology · doi:10.1088/1361-6501/aa8a57 · Cited by 282
A REVIEW OF VIBRATION MACHINE DIAGNOSTICS BY USING ARTIFICIAL INTELLIGENCE METHODS
Zurita, G., Sánchez, V., & Cabrera, D. (2016) · INVESTIGACION & DESARROLLO · doi:10.23881/idupbo.016.1-8i · Cited by 8
Metadata
- Authors
- Wang, D., Tse, P. W., & Tsui, K. L.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 35
- Issue
- 1-2
- Pages
- 176-199
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2067376192
- Cited by
- 409
- References
- 0
- FWCI
- 21.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An enhanced Kurtogram method for fault diagnosis of rolling element bearings. https://app.cochat.ai/papers/10.1016/j.ymssp.2012.10.003
- The paper
- Wang, D., Tse, P. W., & Tsui, K. L. (2013). An enhanced Kurtogram method for fault diagnosis of rolling element bearings. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2012.10.003
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.
