{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:12:45Z","timestamp":1782987165769,"version":"3.54.5"},"reference-count":22,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100018608","name":"High-end Foreign Experts Recruitment Plan of China","doi-asserted-by":"publisher","award":["G2022182015L"],"award-info":[{"award-number":["G2022182015L"]}],"id":[{"id":"10.13039\/501100018608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018608","name":"High-end Foreign Experts Recruitment Plan of China","doi-asserted-by":"publisher","award":["KYCX20_0259"],"award-info":[{"award-number":["KYCX20_0259"]}],"id":[{"id":"10.13039\/501100018608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postgraduate Research &amp; Practice Innovation Program of Jiangsu Province","award":["G2022182015L"],"award-info":[{"award-number":["G2022182015L"]}]},{"name":"Postgraduate Research &amp; Practice Innovation Program of Jiangsu Province","award":["KYCX20_0259"],"award-info":[{"award-number":["KYCX20_0259"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Sensor degradation and failure often undermine users\u2019 confidence in adopting a new data-driven decision-making model, especially in risk-sensitive scenarios. A risk assessment framework tailored to classification algorithms is introduced to evaluate the decision-making risks arising from sensor degradation and failures in such scenarios. The framework encompasses various steps, including on-site fault-free data collection, sensor failure data collection, fault data generation, simulated data-driven decision-making, risk identification, quantitative risk assessment, and risk prediction. Leveraging this risk assessment framework, users can evaluate the potential risks of decision errors under the current data collection status. Before model adoption, ranking risk sensitivity to sensor data provides a basis for optimizing data collection. During the use of decision algorithms, considering the expected lifespan of sensors enables the prediction of potential risks the system might face, offering comprehensive information for sensor maintenance. This method has been validated through a case study involving an access control.<\/jats:p>","DOI":"10.3390\/s24051550","type":"journal-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T07:56:02Z","timestamp":1709106962000},"page":"1550","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6532-6827","authenticated-orcid":false,"given":"Tangxiao","family":"Yuan","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"},{"name":"LCOMS, University of Lorraine, 57070 Metz, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weilin","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7902-7991","authenticated-orcid":false,"given":"Kondo Hloindo","family":"Adjallah","sequence":"additional","affiliation":[{"name":"LCOMS, University of Lorraine, 57070 Metz, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4755-7944","authenticated-orcid":false,"given":"Huifen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4811-8804","authenticated-orcid":false,"given":"Linyan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junshan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1049\/cit2.12105","article-title":"An Improved Bearing Fault Detection Strategy Based on Artificial Bee Colony Algorithm","volume":"7","author":"Wang","year":"2022","journal-title":"CAAI Trans. 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