Código QR (código de barras bidimensional)

Intelligent Tool Wear Prediction Using CNN-BiLSTM-AM Based on Chaotic Particle Swarm Optimization (CPSO) Hyperparameter Optimization

Against the backdrop of the rapid development of the manufacturing industry, online monitoring of tool wear status is of great significance for enhancing the reliability and intelligence of CNC machine tools. This paper presents an intelligent tool wear condition monitoring model (CPSO-CNN-BiLSTM-AM...

ver descrição completa

Na minha lista:
Principais autores: Fei Ma, Zhengze Yang, Hepeng Zhang, Weiwei Sun
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-11-01
coleção:Lubricants
Assuntos:
tool wear detection
deep learning
chaotic particle swarm optimization
CNN-BiLSTM
self-attention mechanism
Acesso em linha:https://www.mdpi.com/2075-4442/13/11/500
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados