The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
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Citations
Cites
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Savitzky, A., & Golay, M. J. E. (1964) · Analytical Chemistry · doi:10.1021/ac60214a047 · Cited by 21,904
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
(2018) · doi:10.1109/cvpr40276.2018 · Cited by 4,737
Deep learning and its applications to machine health monitoring
Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., & Gao, R. X. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.05.050 · Cited by 2,894
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
Damage propagation modeling for aircraft engine run-to-failure simulation
Saxena, A., Goebel, K., Simon, D., & Eklund, N. (2008) · 2008 International Conference on Prognostics and Health Management · doi:10.1109/phm.2008.4711414 · Cited by 1,954
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Ma, J., Zhao, Z., Yi, X., Chen, J., Hong, L., & Chi, E. H. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3219819.3220007 · Cited by 1,233
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
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
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach
Chen, Z., Wu, M., Zhao, R., Guretno, F., Yan, R., & Li, X. (2021) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.2972443 · Cited by 618
Listou Ellefsen, A., Bjørlykhaug, E., Æsøy, V., Ushakov, S., & Zhang, H. (2019) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2018.11.027 · Cited by 523
Cited by
Ma, G., Wang, Z., Liu, W., Fang, J., Zhang, Y., Ding, H., & Yuan, Y. (2023) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.123531 · Cited by 70
Self-citation
Metadata
- Authors
- Zhang, Y., Xin, Y., Liu, Z.-W., Chi, M., & Ma, G.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 220
- Pages
- 108263
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W4200209943
- Cited by
- 268
- References
- 39
- FWCI
- 18.08
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE. https://app.cochat.ai/papers/10.1016/j.ress.2021.108263
- The paper
- Zhang, Y., Xin, Y., Liu, Z.-W., Chi, M., & Ma, G. (2022). Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2021.108263
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.
