The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Application of an improved kurtogram method for fault diagnosis of rolling element bearings
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Citations
Cites
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Fault 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 · cited 1×
“It is possible to obtain vital characteristic information from the vibration signals through the use of signal processing techniques [1].”
BackgroundSelf-citation
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
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
Self-citationDuan, Z., Wu, T., Guo, S., Shao, T., Malekian, R., & Li, Z. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-1474-8 · Cited by 196
Automatic bearing fault diagnosis using particle swarm clustering and hidden Markov model
Yuwono, M., Qin, Y., Zhou, J., Guo, Y., Celler, B. G., & Su, S. W. (2016) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2015.03.007 · Cited by 88
Metadata
- Authors
- Lei, Y., Lin, J., He, Z., & Zi, Y.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 25
- Issue
- 5
- Pages
- 1738-1749
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W1979117586
- Cited by
- 490
- References
- 2
- FWCI
- 22.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Lei, Y., Lin, J., He, Z., & Zi, Y. (2011). Application of an improved kurtogram method for fault diagnosis of rolling element bearings. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2010.12.011
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.
