{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T13:31:41Z","timestamp":1772112701602,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52009096"],"award-info":[{"award-number":["52009096"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2022T150498"],"award-info":[{"award-number":["2022T150498"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2022CFD165"],"award-info":[{"award-number":["2022CFD165"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["52009096"],"award-info":[{"award-number":["52009096"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022T150498"],"award-info":[{"award-number":["2022T150498"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022CFD165"],"award-info":[{"award-number":["2022CFD165"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hubei Provincial Natural Science Foundation of China","award":["52009096"],"award-info":[{"award-number":["52009096"]}]},{"name":"Hubei Provincial Natural Science Foundation of China","award":["2022T150498"],"award-info":[{"award-number":["2022T150498"]}]},{"name":"Hubei Provincial Natural Science Foundation of China","award":["2022CFD165"],"award-info":[{"award-number":["2022CFD165"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Axis-orbit recognition is an essential means for the fault diagnosis of hydropower units. An axis-orbit recognition method based on feature combination and feature selection is proposed, aiming to solve the problems of the low recognition accuracy, poor robustness, and low efficiency of existing axis-orbit recognition methods. First, various contour, moment, and geometric features of axis orbit samples are extracted from the original data and combined into a multidimensional feature set; then, Random Forest (RF)-Fisher feature selection is applied to realize feature dimensionality reduction; and finally, the selected features are set as the input of the support vector machine (SVM), which is optimized by the gravitational search algorithm (GSA) for axis-orbit recognition. The analytical results show that the proposed method has high recognition efficiency and good robustness while maintaining high accuracy for axis-orbit recognition.<\/jats:p>","DOI":"10.3390\/s23062895","type":"journal-article","created":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T02:08:14Z","timestamp":1678241294000},"page":"2895","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Axis Orbit Recognition of the Hydropower Unit Based on Feature Combination and Feature Selection"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-921X","authenticated-orcid":false,"given":"Wushuang","family":"Liu","sequence":"first","affiliation":[{"name":"School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6866-0935","authenticated-orcid":false,"given":"Yang","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qijuan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.apm.2021.10.017","article-title":"Equivalent circuit modeling of large hydropower plants with complex tailrace system for ultra-low frequency oscillation analysis","volume":"103","author":"Zheng","year":"2022","journal-title":"Appl. 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