@article{736ab956e1b942c99812752a52685756,
title = "A RUL Estimation System from Clustered Run-to-Failure Degradation Signals",
abstract = "The prognostics and health management disciplines provide an efficient solution to improve a system{\textquoteright}s durability, taking advantage of its lifespan in functionality before a failure appears. Prognostics are performed to estimate the system or subsystem{\textquoteright}s remaining useful life (RUL). This estimation can be used as a supply in decision-making within maintenance plans and procedures. This work focuses on prognostics by developing a recurrent neural network and a forecasting method called Prophet to measure the performance quality in RUL estimation. We apply this approach to degradation signals, which do not need to be monotonical. Finally, we test our system using data from new generation telescopes in real-world applications.",
keywords = "fault detection, prognostics, prophet, recurrent neural networks",
author = "Cho, {Anthony D.} and Carrasco, {Rodrigo A.} and Ruz, {Gonzalo A.}",
note = "Funding Information: The Atacama Large Millimeter/submillimeter Array (ALMA), an international astronomy facility, is a partnership of the European Organisation for Astronomical Research in the Southern Hemisphere (ESO), the U.S. National Science Foundation (NSF), and the National Institutes of Natural Sciences (NINS) of Japan in cooperation with the Republic of Chile. ALMA is funded by ESO on behalf of its Member States, by NSF in cooperation with the National Research Council of Canada (NRC) and the National Science Council of Taiwan (NSC) and by NINS in cooperation with the Academia Sinica (AS) in Taiwan and the Korea Astronomy and Space Science Institute (KASI). ALMA construction and operations are led by ESO on behalf of its Member States; by the National Radio Astronomy Observatory (NRAO), managed by Associated Universities, Inc. (AUI), on behalf of North America; and by the National Astronomical Observatory of Japan (NAOJ) on behalf of East Asia. The Joint ALMA Observatory (JAO) provides the unified leadership and management of the construction, commissioning, and operation of ALMA. The authors would like to thank Jos{\'e} Luis Ortiz, from ALMA, for his support with the relevant data. Funding Information: This research was partially funded by FONDECYT 1180706, PIA/BASAL FB0002, and ASTRO20-0058 grants from ANID, Chile. Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
month = jul,
doi = "10.3390/s22145323",
language = "English",
volume = "22",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "14",
}