The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Rotating machinery prognostics: State of the art, challenges and opportunities
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Citations
Cites
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2005.09.012 · Cited by 4,816
Statistical Models and Methods for Lifetime Data
Lawless, J. F. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781118033005 · Cited by 4,470
A survey of maintenance policies of deteriorating systems
Wang, H. (2002) · European Journal of Operational Research · doi:10.1016/s0377-2217(01)00197-7 · Cited by 1,592
Statistical Models and Methods for Lifetime Data
Johnston, G. (2003) · Technometrics · doi:10.1198/tech.2003.s767 · Cited by 1,197
Intelligent Fault Diagnosis and Prognosis for Engineering Systems
Vachtsevanos, G., Lewis, F., Roemer, M., Hess, A., & Wu, B. (2006) · Wiley eBooks · doi:10.1002/9780470117842 · Cited by 1,134
Reliability in engineering design
Kapur, K. C., & Lamberson, L. R. (1977) · Cited by 1,132
Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approach
Gebraeel, N., Lawley, M., Liu, R., & Parmeshwaran, V. (2004) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2004.824875 · Cited by 557
Huang, R., Xi, L., Li, X., Liu, C., Qiu, H., & Lee, J. (2006) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2005.11.008 · Cited by 523
System Reliability Theory: Models and Statistical Methods
Vangel, M. G., Høyland, A., Rausand, M., & Høyland, A. (1996) · Technometrics · doi:10.1080/00401706.1996.10484423 · Cited by 477
Intelligent Predictive Decision Support System for Condition-Based Maintenance
Yam, R. C. M., Tse, P. W., Li, L., & Tu, P. (2001) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s001700170173 · Cited by 442
Cited by
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Lei, Y., Li, N., Guo, L., Li, N., Yan, T., & Lin, J. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.11.016 · Cited by 2,634
Characterising the Digital Twin: A systematic literature review
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020) · CIRP Journal of Manufacturing Science and Technology · doi:10.1016/j.cirpj.2020.02.002 · Cited by 2,422
Remaining useful life estimation – A review on the statistical data driven approaches
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2010.11.018 · Cited by 2,162
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
Tahan, M., Tsoutsanis, E., Muhammad, M., & Abdul Karim, Z. A. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.04.048 · Cited by 482
Metadata
- Authors
- Heng, A., Zhang, S., Tan, A. C. C., & Mathew, J.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 23
- Issue
- 3
- Pages
- 724-739
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2064323378
- Cited by
- 1,207
- References
- 48
- FWCI
- 66.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Rotating machinery prognostics: State of the art, challenges and opportunities. https://app.cochat.ai/papers/10.1016/j.ymssp.2008.06.009
- The paper
- Heng, A., Zhang, S., Tan, A. C. C., & Mathew, J. (2009). Rotating machinery prognostics: State of the art, challenges and opportunities. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2008.06.009
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.
