Zhiwei Wang

TL;DR: The statistical analysis, stochastic analysis and frequency analysis are performed to make sense of the effect of the random track irregularities on the pantograph-catenary interaction, and the reliability of the pantographs shows a continuous decrease in the degradation of rail quality.

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: In this article, the influence of groove-textured surfaces on tribological behaviors and friction-induced vibration and noise properties was investigated using a ball-on-flat reciprocating sliding configuration, and it was shown that the squeal generated from the surface was more influenced by the dimensional proportion of groove width to pitch instead independently by groove width or pitch.

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.