摘要详情

ID / 提交时间

182 / 2025-06-12 21:42:12

标题

A Polynomial Chirplet Transform-Enhanced Time-Varying Physical Parameter Identification Method

关键字

time-varying system,physical parameter identification,polynomial chirplet transform,signal reconstruction,acceleration signal

主题及专题

Special Sessions > SSL 05 Condition monitoring, fault diagnosis and intelligent maintenance of mechanical equipment

状态

终稿

作者

辉刘 / 南京工业大学

华王 / 南京工业大学

裕斌潘 / 南京工业大学

玉立王 / 东南大学

摘要

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.