The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A recurrent neural network based health indicator for remaining useful life prediction of bearings
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Condition monitoring and fault diagnosis of planetary gearboxes: A review
Lei, Y., Lin, J., Zuo, M. J., & He, Z. (2014) · Measurement · doi:10.1016/j.measurement.2013.11.012 · Cited by 731
Self-citation
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
Self-citationA 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
Self-citationRemaining useful life estimation in prognostics using deep convolution neural networks
Li, X., Ding, Q., & Sun, J.-Q. (2018) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2017.11.021 · Cited by 1,755
Guo, L., Lei, Y., Xing, S., Yan, T., & Li, N. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2877090 · Cited by 1,234
Self-citationDeep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
Zhang, S., Zhang, S., Wang, B., & Habetler, T. G. (2020) · IEEE Access · doi:10.1109/access.2020.2972859 · Cited by 913
Metadata
- Authors
- Guo, L., Li, N., Jia, F., Lei, Y., & Lin, J.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 240
- Pages
- 98-109
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2591055632
- Cited by
- 1,231
- References
- 2
- FWCI
- 64.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A recurrent neural network based health indicator for remaining useful life prediction of bearings. https://app.cochat.ai/papers/10.1016/j.neucom.2017.02.045
- The paper
- Guo, L., Li, N., Jia, F., Lei, Y., & Lin, J. (2017). A recurrent neural network based health indicator for remaining useful life prediction of bearings. Neurocomputing. https://doi.org/10.1016/j.neucom.2017.02.045
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.