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Recurrent neural networks for remaining useful life estimation
Abstract
This paper presents an approach and solution to the IEEE 2008 Prognostics and Health Management conference challenge problem. The solution utilizes an advanced recurrent neural network architecture to estimate the remaining useful life of the system. The recurrent neural network is trained with back-propagation through time gradient calculations, an Extended Kalman Filter training method, and evolutionary algorithms to generate an accurate and compact algorithm. This solution placed second overall in the competition with a very small margin between the first and second place finishers.
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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
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
Wu, Y., Yuan, M., Dong, S., Lin, L., & Liu, Y. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.05.063 · Cited by 789
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
Remaining useful life prediction of aircraft engine based on degradation pattern learning
Zhao, Z., Liang, B., Wang, X., & Lu, W. (2017) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2017.02.007 · Cited by 267
Prognostics: a literature review
Elattar, H. M., Elminir, H. K., & Riad, A. M. (2016) · Complex & Intelligent Systems · doi:10.1007/s40747-016-0019-3 · Cited by 181
Metadata
- Authors
- Heimes, F. O.
- Venue
- 2008 International Conference on Prognostics and Health Management
- Publisher
- IEEE
- Published
- 2008-10
- Pages
- 1-6
- OpenAlex
- W2110787940
- Cited by
- 644
- References
- 0
- FWCI
- 6.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Heimes, F. O. (2008). Recurrent neural networks for remaining useful life estimation. 2008 International Conference on Prognostics and Health Management. https://doi.org/10.1109/phm.2008.4711422
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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.
