Results

eNauka >  Results >  Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples
Title: Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples
Authors: Sun, Yawei; Tao, Hongfeng; Stojanović, Vladimir  
Issue Date: 2024
ISSN: 0952-1976 Engineering Applications of Artificial Intelligence Search Idenfier
Type: Article
Collation: vol. 138 str. 109402
DOI: 10.1016/j.engappai.2024.109402
WoS-ID: 001335300900001
Scopus-ID: 2-s2.0-85205937693
URI: https://scidar.kg.ac.rs/handle/123456789/21209
https://enauka.gov.rs/handle/123456789/941651
Project: 451-03-65/2024-03/200108
Availability note: Пуни текст није јавно доступан
M-category: 
21a+M21a+

102
SCOPUSTM
89
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.