A Risk Evaluation Framework in System Control Subject to Sensor Degradation and Failure

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 5; p. 1550
• Main Authors: Yuan, Tangxiao, Xu, Weilin, Adjallah, Kondo Hloindo, Wang, Huifen, Liu, Linyan, Xu, Junshan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 28.02.2024; MDPI
• Subjects: Access control; Accuracy; Algorithms; Automatic Control Engineering; Big Data; black box; Case studies; Computer Science; Control systems; Data entry; Data processing; Decision making; Failure; Fault tolerance; framework; Modeling and Simulation; Probability; Rankings; Risk assessment; risk prediction; sensor failure; Sensors; Systems stability; Transportation industry; China; risk assessment; framework; sensor failure; black box; decision-making; risk prediction

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...