Novel synthetic index-based adaptive stochastic resonance method and its application in bearing fault diagnosis

By Peng Zhou, Siliang Lu, Fang Liu, Yongbin Liu, Guihua Li, Jiwen Zhao. 2017

64 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b4a1a622eba16886e4d6792a984e8ad2dfe7ca9d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Xiang Li
2. Qian Ding
3. Jianqiao Sun
4. Jing Lin
5. Kaixuan Liang
6. Jinyang Jiao
7. Ming Zhao
8. Dhiraj Neupane

Citations in the corpus

• Multi-Layer domain adaptation method for rolling bearing fault diagnosis (2019, methodology): “Traditionally, many signal processing methods have been applied to machinery fault signal analysis, including wavelet analysis [2, 3], stochastic resonance techniques [4, 16, 17] and so forth [5–8].”