The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
A new class of Wiener process models for degradation analysis
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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 Methods for Reliability Data
Nelson, W. (1998) · Technometrics · doi:10.1080/00401706.1998.10485526 · Cited by 2,504
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
Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
Si, X.-S., Wang, W., Hu, C.-H., Zhou, D.-H., & Pecht, M. G. (2012) · IEEE Transactions on Reliability · doi:10.1109/tr.2011.2182221 · Cited by 662
Covariates and Random Effects in a Gamma Process Model with Application to Degradation and Failure
Lawless, J., & Crowder, M. (2004) · Lifetime Data Analysis · doi:10.1023/b:lida.0000036389.14073.dd · Cited by 583
The Inverse Gaussian Process as a Degradation Model
Ye, Z.-S., & Chen, N. (2014) · Technometrics · doi:10.1080/00401706.2013.830074 · Cited by 560
Self-citationModelling Accelerated Degradation Data Using Wiener Diffusion With A Time Scale Transformation
Whitmore, G. A., & Schenkelberg, F. (1997) · Lifetime Data Analysis · doi:10.1023/a:1009664101413 · Cited by 489
Survival in Dynamic Environments
Singpurwalla, N. D. (1995) · Statistical Science · doi:10.1214/ss/1177010132 · Cited by 488
Si, X.-S., Wang, W., Hu, C.-H., Chen, M.-Y., & Zhou, D.-H. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2012.08.016 · Cited by 457
Accelerated Degradation Models for Failure Based on Geometric Brownian Motion and Gamma Processes
Park, C., & Padgett, W. J. (2005) · Lifetime Data Analysis · doi:10.1007/s10985-005-5237-8 · Cited by 441
Cited by
Zhang, Z., Si, X., Hu, C., & Lei, Y. (2018) · European Journal of Operational Research · doi:10.1016/j.ejor.2018.02.033 · Cited by 696
RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model
Zhai, Q., & Ye, Z.-S. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2684821 · Cited by 363
Self-citation
Metadata
- Authors
- Ye, Z.-S., Chen, N., & Shen, Y.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 139
- Pages
- 58-67
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2072999804
- Cited by
- 279
- References
- 28
- FWCI
- 57.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Ye, Z.-S., Chen, N., & Shen, Y. (2015). A new class of Wiener process models for degradation analysis. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2015.02.005
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.
