{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T07:48:41Z","timestamp":1768204121935,"version":"3.49.0"},"reference-count":16,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100015401","name":"Key Research and Development Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2023\u2010YBGY\u2010203"],"award-info":[{"award-number":["2023\u2010YBGY\u2010203"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2023\u2010YBGY\u2010021"],"award-info":[{"award-number":["2023\u2010YBGY\u2010021"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Concurrency and Computation"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Hard disk drive (HDD) failures in large\u2010scale distributed storage systems can lead to severe data loss and service disruptions. While failure prediction using SMART data is a critical mitigation strategy, existing models often inadequately capture the gradual degradation of disk health, suffering from limitations in feature selection and temporal modeling. To overcome these challenges, this paper proposes GRUHP, a Gated Recurrent Unit\u2010based Health Prediction model integrated with an adaptive feature selection mechanism. GRUHP efficiently handles high\u2010dimensional Self\u2010Monitoring, Analysis, and Reporting Technology (SMART) data by dynamically identifying the most discriminative features, while its GRU architecture fully leverages temporal patterns for accurate health assessment. The model also incorporates dedicated modules for continuous health state evaluation and fault diagnosis. Extensive experiments on two public datasets demonstrate that GRUHP achieves an average precision of 93.4%, recall of 99.3%, and F\n                    <jats:sub>0.5<\/jats:sub>\n                    \u2010score of 94.5%, with a false positive rate of only 0.7%. These results confirm that the proposed method, through its synergistic feature selection and temporal modeling, offers a robust and highly applicable solution for proactive failure prediction in real\u2010world storage environments.\n                  <\/jats:p>","DOI":"10.1002\/cpe.70481","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T03:59:58Z","timestamp":1766030398000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>GRUHP<\/scp>\n                    : An Adaptive Feature Selection Model for Hard Disk Drive Failure Prediction in Large\u2010Scale Storage Systems"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4051-3137","authenticated-orcid":false,"given":"Qinlu","family":"He","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering Xi'an University of Architecture and Technology  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianhui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering Xi'an University of Architecture and Technology  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianing","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering Xi'an University of Architecture and Technology  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Ning","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering Xi'an University of Architecture and Technology  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingzhi","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering Xi'an University of Architecture and Technology  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Genqing","family":"Bian","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering Xi'an University of Architecture and Technology  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Li","sequence":"additional","affiliation":[{"name":"Shaan Xi Institute of Metrology Science  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,12,17]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2020.2995724"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-024-10479-6"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.03.027"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-45877-5_4"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISPA63168.2024.00179"},{"key":"e_1_2_11_7_1","first-page":"263","volume-title":"Proceedings of the 51st Annual IEEE\/IFIP International Conference on Dependable Systems and Networks","author":"Xu F.","year":"2021"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2002.802886"},{"key":"e_1_2_11_9_1","first-page":"208","volume-title":"Proceedings of the IEEE International Conference on SMART 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