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Operating Mode Identification of Satellite Solar Arrays Based on the Fusion of Temporal and Spatial Features
ID：2 View Protection：ATTENDEE Updated Time：2025-11-10 10:12:56 Hits：99 Oral Presentation

Start Time：Pending（Asia/Shanghai）

Duration：Pending

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Abstract
The solar array (SA) is a vital component of satellite electrical power systems, providing a continuous energy supply for sustained on-orbit operations. Accurate identification of its operating modes, supported by multi-source sensing data, is essential for efficient satellite management. This study introduces a dual-branch spatial-temporal coding framework to address the limited recognition accuracy and weak dynamic perception of conventional data-driven methods. The key contribution lies in extracting complementary spatial and temporal features from sensing data and integrating them through a soft gating mechanism that adaptively fuses cross-modal information. To enhance reliability, temperature-scaled posterior probabilities are applied to calibrate model confidence, particularly during rapid transitions between dynamic operating modes. Experiments with on-orbit telemetry data show that the method achieves 99.49% accuracy, while the soft gating fusion reduces the expected calibration error by more than 21.4%. By combining multidimensional feature modeling, feature fusion, and confidence calibration, this study provides a robust and reliable solution for satellite SA operating mode identification.
Keywords
satellite solar arrays,operating mode identification,sensing data,temporal and spatial features,feature fusion
Speaker
Meng Wang
Mr. Harbin Institute of Technology

Submission Author
Meng Wang Harbin Institute of Technology
Yingting Fan Shanghai Institute of Satellite Engineering
Guangquan Zhao Harbin Institute of Technology
Yang Wu Shanghai Institute of Satellite Engineering
Xiyuan Peng Harbin Institute of Technology
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Important Date

  • Conference Date

    Nov 21

    2025

    to

    Nov 23

    2025

  • Oct 20 2025

    Draft paper submission deadline

  • Dec 08 2025

    Registration deadline

Sponsored By
IEEE Instrumentation and Measurement Society
South China University of Technology
Organized By
South China University of Technology
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