Weihua Zhang

TL;DR: The aims of the benchmark are to assess the dispersion of results on the same simulation study cases, to demonstrate the accuracy of numerical methodologies and simulation models and to identify the best suited modelling approaches to study pantograph–catenary interaction.

TL;DR: Comparisons illustrate the superiority of SP over kurtosis for selecting the sensitive mode from the resulted signal of CCEEMEDAN and over two other popular signal-processing methods, variational mode decomposition and fast kurtogram.

TL;DR: The proposed improved deconvolution method for the fault detection of rolling element bearings solves the filter coefficients by the standard particle swarm optimization algorithm, assisted by a generalized spherical coordinate transformation.

TL;DR: The study of experimental bearing fault signal shows that the PSO based deconvolution methods delivered better performance for rolling element bearing fault detection than the traditional deconVolution methods.

TL;DR: In this paper, the relationship between various coupled systems that can affect train operation, including interactions between track and train, the pantograph-catenary system, power supply system, and train airflow, with respect to the structure and characteristic of a high-speed railway is studied.