Ahmed Ragab, Soumaya Yacout
and Mohamed-Salah Ouali
Paper (2016)
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| Department: | Department of Mathematics and Industrial Engineering |
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| ISBN: | 9781509002481 |
| PolyPublie URL: | https://publications.polymtl.ca/35510/ |
| Conference Title: | Annual Reliability and Maintainability Symposium (RAMS 2016) |
| Conference Location: | Tucson, AZ |
| Conference Date(s): | 2016-01-25 - 2016-01-28 |
| Publisher: | IEEE |
| DOI: | 10.1109/rams.2016.7448025 |
| Official URL: | https://doi.org/10.1109/rams.2016.7448025 |
| Date Deposited: | 18 Apr 2023 15:06 |
| Last Modified: | 25 Sep 2024 16:19 |
| Cite in APA 7: | Ragab, A., Yacout, S., & Ouali, M.-S. (2016, January). Remaining useful life prognostics using pattern-based machine learning [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (7 pages). https://doi.org/10.1109/rams.2016.7448025 |
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