A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure
Sensor degradation and failure often undermine users’ 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 degr...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/5/1550 |
| _version_ | 1797263895847501824 |
|---|---|
| author | Tangxiao Yuan Weilin Xu Kondo Hloindo Adjallah Huifen Wang Linyan Liu Junshan Xu |
| author_facet | Tangxiao Yuan Weilin Xu Kondo Hloindo Adjallah Huifen Wang Linyan Liu Junshan Xu |
| author_sort | Tangxiao Yuan |
| collection | DOAJ |
| description | Sensor degradation and failure often undermine users’ 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. |
| first_indexed | 2024-04-25T00:20:17Z |
| format | Article |
| id | doaj.art-97aa0ae9aa174c748882cad01cee70f1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-25T00:20:17Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-97aa0ae9aa174c748882cad01cee70f12024-03-12T16:55:10ZengMDPI AGSensors1424-82202024-02-01245155010.3390/s24051550A Risk Evaluation Framework in System Control Subject to Sensor Degradation and FailureTangxiao Yuan0Weilin Xu1Kondo Hloindo Adjallah2Huifen Wang3Linyan Liu4Junshan Xu5School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaLCOMS, University of Lorraine, 57070 Metz, FranceSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSensor degradation and failure often undermine users’ 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.https://www.mdpi.com/1424-8220/24/5/1550sensor failureblack boxrisk predictionrisk assessmentdecision-makingframework |
| spellingShingle | Tangxiao Yuan Weilin Xu Kondo Hloindo Adjallah Huifen Wang Linyan Liu Junshan Xu A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure Sensors sensor failure black box risk prediction risk assessment decision-making framework |
| title | A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure |
| title_full | A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure |
| title_fullStr | A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure |
| title_full_unstemmed | A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure |
| title_short | A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure |
| title_sort | risk evaluation framework in system control subject to sensor degradation and failure |
| topic | sensor failure black box risk prediction risk assessment decision-making framework |
| url | https://www.mdpi.com/1424-8220/24/5/1550 |
| work_keys_str_mv | AT tangxiaoyuan ariskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT weilinxu ariskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT kondohloindoadjallah ariskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT huifenwang ariskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT linyanliu ariskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT junshanxu ariskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT tangxiaoyuan riskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT weilinxu riskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT kondohloindoadjallah riskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT huifenwang riskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT linyanliu riskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure AT junshanxu riskevaluationframeworkinsystemcontrolsubjecttosensordegradationandfailure |