一种基于谐和小波和粒子滤波的高铁轨道不平顺识别方法

A High-speed Railway Track Irregularity Identification Method Based on Harmonic Wavelet and Particle Filter

文中提出了一种小波分解和粒子滤波相结合的新识别算法,该算法利用谐和小波对轨道不平顺激励进行小波分解以有效地处理激励非平稳的特性,极大地降低未知向量的维数,提高识别结果精度和识别计算效率.最后通过一个实桥算例验证了该算法的效率和精度.

A new recognition algorithm combining wavelet decomposition and particle filter was proposed in this paper. The proposed algorithm used harmonic wavelet to decompose track irregularity excitation to effectively deal with the non-stationary characteristics of excitation and greatly reduce the dimension of unknown vector. The recognition accuracy and recognition calculation efficiency were improved. Finally, the efficiency and accuracy of the algorithm were verified by a real bridge example.