A Qualitative Tool Condition Monitoring Framework Using Convolution Neural Network and Transfer Learning

Cutting performances of TiCN–HfC and TiCN–HfC–WC ceramic tools in dry turning hardened AISI H13

(2020) Song Jinpeng et al.   Advances in Applied Ceramics

Tribological behaviour of TiB2-HfC ceramic tool material under dry sliding condition

(2020) Song Jinpeng et al.   CERAMICS INTERNATIONAL

Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network

(2019) T. Y. Wu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Analytical modeling of tool health monitoring system using multiple sensor data fusion approach in hard machining

(2019) Amarjit P. Kene et al.   MEASUREMENT

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

(2019) Xuefeng Wu et al.   SENSORS

Semi-supervised roughness prediction with partly unlabeled vibration data streams

(2018) Maciej Grzenda et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool wear monitoring using an online, automatic and low cost system based on local texture

(2018) María Teresa García-Ordás et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Predicting tool life in turning operations using neural networks and image processing

(2018) T. Mikołajczyk et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep convolution neural network for image recognition

(2018) Boukaye Boubacar Traore et al.   Ecological Informatics

Using the Machine Vision Method to Develop an On-machine Insert Condition Monitoring System for Computer Numerical Control Turning Machine Tools

(2018) Wei-Heng Sun et al.   Materials

A novel integrated tool condition monitoring system

(2017) Amit Kumar Jain et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Metacognitive learning approach for online tool condition monitoring

(2017) Mahardhika Pratama et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Machine-vision-based identification of broken inserts in edge profile milling heads

(2017) Laura Fernández-Robles et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A knowledge-based intelligent decision system for production planning

(2016) Rafiq Ahmad et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A probabilistic neural network applied in monitoring tool wear in the end milling operation via acoustic emission and cutting power signals

(2016) Rodrigo Henriques Lopes da Silva et al.   MACHINING SCIENCE AND TECHNOLOGY

Investigation on the effect of cutting fluid pressure on surface quality measurement in high speed thread milling of brass alloy (C3600) and aluminium alloy (5083)

(2016) Amir Mahyar Khorasani et al.   MEASUREMENT

Development of a dynamic surface roughness monitoring system based on artificial neural networks (ANN) in milling operation

(2015) AmirMahyar Khorasani et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment

(2015) Rafiq Ahmad et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection

(2014) G.F. Wang et al.   SENSORS AND ACTUATORS A-PHYSICAL

New computer vision based Snakes and Ladders algorithm for the safe trajectory of two axis CNC machines

(2012) Rafiq Ahmad et al.   COMPUTER-AIDED DESIGN

A review of flank wear prediction methods for tool condition monitoring in a turning process

(2012) A. Siddhpura et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

3D safe and intelligent trajectory generation for multi-axis machine tools using machine vision

(2012) Rafiq Ahmad et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique

(2012) S. Dutta et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Monitoring online cutting tool wear using low-cost technique and user-friendly GUI

(2011) J.A. Ghani et al.   WEAR

Advanced monitoring of machining operations

(2010) R. Teti et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Tool wear monitoring by machine learning techniques and singular spectrum analysis

(2010) Bovic Kilundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING