Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network

A rolling bearing early fault diagnosis method is proposed in this paper, which is derived from a refined composite multi-scale approximate entropy (RCMAE) and improved coyote optimization algorithm based probabilistic neural network (ICOA-PNN) algorithm. Rolling bearing early fault diagnosis is a t...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Jianpeng Ma, Zhenghui Li, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2021-02-01
סדרה:	Entropy
נושאים:	refined composite multi-scale approximate entropy coyote optimized algorithm probabilistic neural network rolling bearing fault diagnosis
גישה מקוונת:	https://www.mdpi.com/1099-4300/23/2/259
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!