Presentation Details
A Predictive Calibration Framework Based on the Degradation Model of Sensor Error
ID：63
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Updated Time：2025-06-20 16:31:45 Hits：273
Oral Presentation
Start Time：Pending（Asia/Shanghai）
Duration：Pending
Session：No Session »
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Abstract
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.
Keywords
sensor error, calibration strategy, degradation model, reliability
Speaker
Yiyang Shangguan
PhD Beihang universitySubmission Author
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Important Date
-
Conference Date
Aug 01
2025
toAug 04
2025
-
Aug 20 2025
Draft paper submission deadline
Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学
Contact Information
- Mr. Yanruqiang
- ya******@xjtu.edu.cn
Previous Conferences
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2025-08-01 China wulumuqi
2025 International Conference on Equipment Intelligent Operation and Maintenance -
2023-09-21 China Hefei
2023 International Conference on Equipment Intelligent Operation and Maintenance
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