Acoustic vibration characteristics for combined diagnosis of rail corrugation: An application of MCiSSA and permutation heterogeneous recurrence plot

In this paper, we utilize acoustic vibration characteristics for the combined diagnosis of rail corrugation. The two-dimensional signal is first decomposed into several modes by Multivariate circulant singular spectrum analysis (MCiSSA) and the corrugation component is then extracted accurately by the domain frequency distributions. MCiSSA stands out for its ability to decompose low-frequency dominated acoustic signals without mode mixing and contaminated components. Then permutation heterogeneous recurrence plot is employed to discern significant features from both normal and corrugated rail signals. The corresponding quantification measures reveal the fractal differences within normal and corrugation signals particularly when focusing on the purified corrugation components. In addition, This technique demonstrates its capability to differentiate signals with varying domain frequencies, thereby enhancing the comprehensive diagnosis for rail corrugation.