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Using the simple recurrent unit (SRU), which is a time series machine learning algorithm that achieves a high operating efficiency, the results of the reliability tree analysis are combined to establish a tree-structure SRU (T-SRU) model for complex system health condition estimation. Finally, NASA turbofan engine data are used for verification. Results show that the proposed T-SRU model can more accurately estimate a complex system\u2019s health condition and improve the execution efficiency of the SRU networks by approximately 46%.<\/jats:p>","DOI":"10.1007\/s40747-022-00732-7","type":"journal-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T07:02:51Z","timestamp":1652166171000},"page":"5203-5221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Complex system health condition estimation using tree-structured simple recurrent unit networks"],"prefix":"10.1007","volume":"8","author":[{"given":"Weijie","family":"Kang","sequence":"first","affiliation":[]},{"given":"Jiyang","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Junjie","family":"Xue","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,10]]},"reference":[{"key":"732_CR1","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.jmsy.2020.07.005","volume":"58","author":"J Yu","year":"2021","unstructured":"Yu J, Song Y, Tang D, Dai J (2021) A digital twin approach based on nonparametric Bayesian network for complex system health monitoring. 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