Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings

Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings

As a nonlinear dynamic method for complexity measurement of time series, multiscale entropy (MSE) has been successfully applied to fault diagnosis of rolling bearings. However, the MSE algorithm is sensitive to the predetermined parameters and depends heavily on the length of the time series and MSE...

Full description

Bibliographic Details
Main Authors: Deyu Tu, Jinde Zheng, Zhanwei Jiang, Haiyang Pan
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Entropy
Subjects:
multiscale distribution entropy
t-distributed stochastic neighbor embedding
Kriging-variable predictive models
rolling bearing
fault diagnosis
Online Access:http://www.mdpi.com/1099-4300/20/5/360

Similar Items

Similar Items