Cargando…

Automatic Identification of Tool Wear Based on Convolutional Neural Network in Face Milling Process

Monitoring of tool wear in machining process has found its importance to predict tool life, reduce equipment downtime, and tool costs. Traditional visual methods require expert experience and human resources to obtain accurate tool wear information. With the development of charge-coupled device (CCD...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Xuefeng, Liu, Yahui, Zhou, Xianliang, Mou, Aolei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767294/ https://www.ncbi.nlm.nih.gov/pubmed/31487810 http://dx.doi.org/10.3390/s19183817

Ejemplares similares

Automatic Identification of Tool Wear Based on Thermography and a Convolutional Neural Network during the Turning Process
por: Brili, Nika, et al.
Publicado: (2021)

Convolutional Neural Networks for the Automatic Identification of Plant Diseases
por: Boulent, Justine, et al.
Publicado: (2019)

Tool Wear Prediction Based on Artificial Neural Network during Aluminum Matrix Composite Milling (†)
por: Wiciak-Pikuła, Martyna, et al.
Publicado: (2020)

Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data
por: Afifi, Ahmed, et al.
Publicado: (2020)

Multivariate time series data of milling processes with varying tool wear and machine tools
por: Denkena, Berend, et al.
Publicado: (2023)

Modeling naturalistic face processing in humans with deep convolutional neural networks
por: Jiahui, Guo, et al.
Publicado: (2023)

Automatic Identification of Depression Using Facial Images with Deep Convolutional Neural Network
por: Kong, Xinru, et al.
Publicado: (2022)

Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces
por: Song, Yiying, et al.
Publicado: (2021)

Automatic Identification of Down Syndrome Using Facial Images with Deep Convolutional Neural Network
por: Qin, Bosheng, et al.
Publicado: (2020)

The Face Inversion Effect in Deep Convolutional Neural Networks
por: Tian, Fang, et al.
Publicado: (2022)

Automatic detection of contouring errors using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2019)

Optimization of the Convolutional Neural Networks for Automatic Detection of Skin Cancer
por: Zhang, Long, et al.
Publicado: (2020)

Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020)

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear
por: Suh, Sungho, et al.
Publicado: (2020)

Incorrect Facemask-Wearing Detection Using Convolutional Neural Networks with Transfer Learning
por: Tomás, Jesús, et al.
Publicado: (2021)

Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network
por: Liu, Yemei, et al.
Publicado: (2021)

Automatic identification of intestinal parasites in reptiles using microscopic stool images and convolutional neural networks
por: Parra, Carla, et al.
Publicado: (2022)

AIM-CICs: an automatic identification method for cell-in-cell structures based on convolutional neural network
por: Tang, Meng, et al.
Publicado: (2022)

Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared
por: Müller, David, et al.
Publicado: (2021)

Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks
por: Vázquez-Romero, Adrián, et al.
Publicado: (2020)

Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes
por: Motta, Daniel, et al.
Publicado: (2020)

Automatic contouring system for cervical cancer using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2020)

A Convolutional Neural Network for Automatic Tooth Numbering in Panoramic Images
por: Prados-Privado, María, et al.
Publicado: (2021)

Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks
por: Li, Jiawei, et al.
Publicado: (2022)

Convolutional neural network for automatic detection and characterization of abdominal aortic aneurysm
por: Lareyre, Fabien, et al.
Publicado: (2023)

Convolutional neural network models for automatic diagnosis and graduation in skin frostbite
por: Sun, Jiachen, et al.
Publicado: (2022)

Automatic bolus tracking in abdominal CT scans with convolutional neural networks
por: Li, Angela T., et al.
Publicado: (2023)

Effect of Machining Parameters and Tool Wear on Surface Uniformity in Micro-Milling
por: Sun, Zhanwen, et al.
Publicado: (2018)

The Effects of Lubricooling Ecosustainable Techniques on Tool Wear in Carbon Steel Milling
por: Villarrazo, Nagore, et al.
Publicado: (2023)

Prognosis of Bearing and Gear Wears Using Convolutional Neural Network with Hybrid Loss Function
por: Lo, Chang-Cheng, et al.
Publicado: (2020)

Automatic identification of triple negative breast cancer in ultrasonography using a deep convolutional neural network
por: Ye, Heng, et al.
Publicado: (2021)

An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network
por: Qiu, Rong-Zhou, et al.
Publicado: (2022)

Automatic identification of pavement cracks in public roads using an optimized deep convolutional neural network model
por: Lv, Zhihan, et al.
Publicado: (2023)

A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network
por: Yang, Xu, et al.
Publicado: (2022)

Hybrid ABC Optimized MARS-Based Modeling of the Milling Tool Wear from Milling Run Experimental Data
por: García Nieto, Paulino José, et al.
Publicado: (2016)

Tree-based convolutional neural networks: principles and applications
por: Mou, Lili, et al.
Publicado: (2018)

Wear Mechanism of Multilayer Coated Carbide Cutting Tool in the Milling Process of AISI 4340 under Cryogenic Environment
por: Muhamad, Shalina Sheik, et al.
Publicado: (2022)

Automatic identification of species with neural networks
por: Hernández-Serna, Andrés, et al.
Publicado: (2014)

Automatic Cephalometric Landmark Identification System Based on the Multi-Stage Convolutional Neural Networks with CBCT Combination Images
por: Kim, Min-Jung, et al.
Publicado: (2021)

Automatic identification of benign pigmented skin lesions from clinical images using deep convolutional neural network
por: Ding, Hui, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_4g0bnc07f425kquavcrrqqutf4