{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:46:34Z","timestamp":1760147194093,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T00:00:00Z","timestamp":1673654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1702400","23ZDYF0212","202106070089"],"award-info":[{"award-number":["2018YFB1702400","23ZDYF0212","202106070089"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sichuan Province Key Research and Development Program","award":["2018YFB1702400","23ZDYF0212","202106070089"],"award-info":[{"award-number":["2018YFB1702400","23ZDYF0212","202106070089"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["2018YFB1702400","23ZDYF0212","202106070089"],"award-info":[{"award-number":["2018YFB1702400","23ZDYF0212","202106070089"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Data redundancy and data loss are relevant issues in condition monitoring. Sampling strategies for segment intervals can address these at the source, but do not receive the attention they deserve. Currently, the sampling methods in relevant research lack sufficient adaptability to the condition. In this paper, an adaptive sampling framework of segment intervals is proposed, based on the summary and improvement of existing problems. The framework is implemented to monitor mechanical degradation, and experiments are implemented on simulation data and real datasets. Subsequently, the distributions of the samples collected by different sampling strategies are visually presented through a color map, and five metrics are designed to assess the sampling results. The intuitive and numerical results show the superiority of the proposed method in comparison to existing methods, and the results are closely related to data status and degradation indicators. The smaller the data fluctuation and the more stable the degradation trend, the better the result. Furthermore, the results of the objective physical indicators are obviously better than those of the feature indicators. By addressing existing problems, the proposed framework opens up a new idea of predictive sampling, which significantly improves the degradation monitoring.<\/jats:p>","DOI":"10.3390\/s23020965","type":"journal-article","created":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T05:30:07Z","timestamp":1673847007000},"page":"965","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Adaptive Sampling Framework for Life Cycle Degradation Monitoring"],"prefix":"10.3390","volume":"23","author":[{"given":"Yuhua","family":"Yin","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Energy Department, Politecnico di Milano, 20156 Milano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4133-8230","authenticated-orcid":false,"given":"Zhiliang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}]},{"given":"Junhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7108-637X","authenticated-orcid":false,"given":"Enrico","family":"Zio","sequence":"additional","affiliation":[{"name":"Energy Department, Politecnico di Milano, 20156 Milano, Italy"},{"name":"Centre de Recherche sur le Risque et les Crises, MINES Paris\u2014PSL University, 75006 Paris, France"}]},{"given":"Mingjian","family":"Zuo","sequence":"additional","affiliation":[{"name":"Qingdao International Academician Park Research Institute, Qingdao 266041, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Davies, A. 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