Abstract Details
182 / 2025-06-12 21:42:12
A Polynomial Chirplet Transform-Enhanced Time-Varying Physical Parameter Identification Method
time-varying system,physical parameter identification,polynomial chirplet transform,signal reconstruction,acceleration signal
Final Paper
Traditional physical parameter identification methods struggle to analysis the modern multi-degree-of-freedom time-varying (TV) structures. Aiming at this problem, an adaptive reconfiguration algorithm based on polynomial chirplet transform (PCT) is proposed. First, the wavelet basis function of PCT is extracted, and its one-level and tow-level derivative basis functions can be obtained through integral operation. Second, the optimized PCT is applied to the acceleration signal, enabling reconstruction of velocity and displacement signals while establishing their conversion rules. Finally, the vibration differential equation is reformulated, allowing parameter identification. Unlike traditional identification methods, PCT can better track the TV parameters due to the introduction of the frequency modulation slope parameter. Numerical simulations on a three-degree-of-freedom TV structure under varying conditions demonstrate the superior identification accuracy of the proposed method.
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
