The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
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Citations
Cites
Bearing defect diagnosis and acoustic emission
Morhain, A., & Mba, D. (2003) · Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology · doi:10.1243/135065003768618614 · Cited by 119
Self-citationCondition monitoring of slow-speed rolling element bearings using stress waves
Jamaludin, N., Mba, D., & Bannister, R. H. (2001) · Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering · doi:10.1177/095440890121500401 · Cited by 82
Self-citationA new acoustic emission source locating system for the study of rolling contact fatigue
Yoshioka, T., & Fujiwara, T. (1982) · Wear · doi:10.1016/0043-1648(82)90314-3 · Cited by 58
Application of Acoustic Emission to the Detection of Bearing Failures
Tan, A. C. C. (1990) · Cited by 47
Use of acoustic emission for machine condition monitoring
Holroyd, T. J., & Randall, N. (1994) · NDT & E International · doi:10.1016/0963-8695(94)90465-0 · Cited by 25
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
Pandya, D. H., Upadhyay, S. H., & Harsha, S. P. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.01.033 · Cited by 350
Safizadeh, M. S., & Latifi, S. K. (2014) · Information Fusion · doi:10.1016/j.inffus.2013.10.002 · Cited by 300
Duan, 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
Widodo, A., Yang, B.-S., Kim, E. Y., Tan, A. C. C., & Mathew, J. (2009) · Nondestructive Testing and Evaluation · doi:10.1080/10589750802378974 · Cited by 58
Metadata
- Authors
- Al-Ghamd, A. M., & Mba, D.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 20
- Issue
- 7
- Pages
- 1537-1571
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2071293002
- Cited by
- 417
- References
- 5
- FWCI
- 17.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Al-Ghamd, A. M., & Mba, D. (2006). A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2004.10.013
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.
