Y
Yao Cheng
Researcher at Southwest Jiaotong University
Publications - 36
Citations - 755
Yao Cheng is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Computer science & Deconvolution. The author has an hindex of 10, co-authored 23 publications receiving 324 citations.
Papers
More filters
Journal ArticleDOI
An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis.
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.
Journal ArticleDOI
Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis
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.
Journal ArticleDOI
Particle swarm optimization algorithm to solve the deconvolution problem for rolling element bearing fault diagnosis.
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.
Journal ArticleDOI
Effect of vehicle vibration environment of high-speed train on dynamic performance of axle box bearing
TL;DR: In this article, the authors developed a comprehensive three-dimensional vehicle-track coupled dynamics model considering the traction drive system and axle box bearing, and developed a model that considers the dynamic interactions between the two components.
Journal ArticleDOI
A novel blind deconvolution method and its application to fault identification
TL;DR: A new criterion called impulse-norm is proposed, a time-domain parameter defined as the ratio of the average amplitude of the first several maximum energy points to the energy of the entire signal, which can effectively identify the weak impulse fault feature of rolling element bearings.