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A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems
Abstract
This paper presents a similarity-based approach for estimating the Remaining Useful Life (RUL) in prognostics. The approach is especially suitable for situations in which abundant run-to-failure data for an engineered system are available. Data from multiple units of the same system are used to create a library of degradation patterns. When estimating the RUL of a test unit, the data from it will be matched to those patterns in the library and the actual life of those matched units will be used as the basis of estimation. This approach is used to tackle the data challenge problem defined by the 2008 PHM Data Challenge Competition, in which, run-to-failure data of an unspecified engineered system are provided and the RUL of a set of test units will be estimated. Results show that the similarity-based approach is very effective in performing RUL estimation.
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A prognostic algorithm for machine performance assessment and its application
Yan, J., Koç, M., & Lee, J. (2004) · Production Planning & Control · doi:10.1080/09537280412331309208 · Cited by 239
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Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Self-citationMachinery 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 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
Liao, L., & Köttig, F. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.03.013 · Cited by 258
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
- Wang, T., Yu, J., Siegel, D., & Lee, J.
- Venue
- 2008 International Conference on Prognostics and Health Management
- Publisher
- IEEE
- Published
- 2008-10
- Pages
- 1-6
- OpenAlex
- W2149956719
- Cited by
- 474
- References
- 1
- FWCI
- 13.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wang, T., Yu, J., Siegel, D., & Lee, J. (2008). A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems. 2008 International Conference on Prognostics and Health Management. https://doi.org/10.1109/phm.2008.4711421
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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.
