The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Forecasting, Structural Time Series Models and the Kalman Filter
Harvey, A. C. (1990) · doi:10.1017/cbo9781107049994 · Cited by 4,195
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
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
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Wang, B., Lei, Y., Li, N., & Li, N. (2020) · IEEE Transactions on Reliability · doi:10.1109/tr.2018.2882682 · Cited by 1,917
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
Self-citationStochastic modelling and analysis of degradation for highly reliable products
Ye, Z., & Xie, M. (2015) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.2063 · Cited by 685
Wu, D., Jennings, C., Terpenny, J., Gao, R. X., & Kumara, S. (2017) · Journal of Manufacturing Science and Engineering · doi:10.1115/1.4036350 · Cited by 677
Metadata
- Authors
- Si, X.-S., Wang, W., Hu, C.-H., Chen, M.-Y., & Zhou, D.-H.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 35
- Issue
- 1-2
- Pages
- 219-237
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W1969150846
- Cited by
- 457
- References
- 3
- FWCI
- 54.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation. https://app.cochat.ai/papers/10.1016/j.ymssp.2012.08.016
- The paper
- Si, X.-S., Wang, W., Hu, C.-H., Chen, M.-Y., & Zhou, D.-H. (2013). A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2012.08.016
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.