报告详情
A Predictive Calibration Framework Based on the Degradation Model of Sensor Error
编号：63
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更新：2025-06-20 16:31:45 浏览：14次
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摘要
Sensor calibration is essential to ensure the accuracy and reliability of sensor measurements. However, existing calibration methods lack scientifically guided strategies and commonly rely on fixed-interval calibration schedules. Such approaches cannot adequately consider the inherent degradation characteristics of sensors, making them unsuitable for nonlinear degradation patterns and potentially causing resource waste or inadequate calibration. To address this issue, this paper proposes a predictive calibration framework based on the degradation model of sensor error. First, we establish deterministic degradation models under various temperature conditions. Subsequently, calibration schedules are derived based on the time required for degradation increments to reach a predefined threshold. A numerical case study demonstrates the application of the proposed method and provides a comparative analysis with traditional fixed-interval calibration strategies. The results show that fixed-interval schedules fail to meet performance requirements under nonlinear degradation scenarios, highlighting the effectiveness and superiority of the proposed predictive calibration framework.
关键词
sensor error, calibration strategy, degradation model, reliability
报告人
Yiyang Shangguan
PhD Beihang university稿件作者
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重要日期
-
会议日期
08月01日
2025
至08月04日
2025
-
06月20日 2025
初稿截稿日期
主办单位
中国机械工程学会设备智能运维分会
承办单位
新疆大学
联系方式
- Mrs. Yanruqiang
- ya******@xjtu.edu.cn
历届会议
-
2025年08月01日 中国 wulumuqi
2025 International Conference on Equipment Intelligent Operation and Maintenance -
2023年09月21日 中国 Hefei
第一届（国际）设备智能运维大会
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