Application of deep visualization in CNN-based tool condition monitoring for end milling
Sign Up to like & getrecommendations! Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2019.06.096
Abstract: Abstract Cutting tool is one of the major components to largely influence the overall machining process efficiency. There has been a significant amount of research conducted in developing tool condition monitoring systems with the application… read more here.
Keywords: end milling; monitoring end; condition; deep visualization ... See more keywords
On-line manipulator tool condition monitoring based on vibration analysis
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.08.002
Abstract: Abstract This article presents a method of processing and analyzing the measurement signals used in the problem of diagnosing the state of a manipulator's tool. The analysis of the signals was performed within the domain… read more here.
Keywords: analysis; tool; manipulator tool; tool condition ... See more keywords
Tool condition monitoring framework for predictive maintenance: a case study on milling process
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Production Research"
DOI: 10.1080/00207543.2020.1836419
Abstract: In metal cutting processes, tool condition monitoring has a great importance to prevent surface damage and maintaining the quality of surface finishing. With the development of digitalisation and c... read more here.
Keywords: monitoring framework; condition monitoring; framework predictive; tool condition ... See more keywords
Multiple Activation Functions and Data Augmentation-Based Lightweight Network for In Situ Tool Condition Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3139202
Abstract: Intelligent manufacturing raises higher requirements for tool condition monitoring (TCM) in terms of accuracy, robustness, and adaptability. At present, direct methods based on image processing and deep learning have made breakthroughs in TCM. However, some… read more here.
Keywords: condition monitoring; lightweight network; network; multiple activation ... See more keywords
Pyramid LSTM Network for Tool Condition Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3173278
Abstract: Tool condition monitoring is important to guarantee the product quality and improve the productivity in high-performance computer numerical control (CNC) machining. Due to the harsh working conditions and non-stationary milling process, it is difficult to… read more here.
Keywords: pyramid lstm; condition monitoring; tool condition; pyramid ... See more keywords
Artificial Neural Network on Tool Condition Monitoring in Hard Turning of AISI4140 Steel Using Carbide Tool
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Problems in Engineering"
DOI: 10.1155/2023/2139906
Abstract: Hard turning has replaced conventional grinding in production processes in recent years as an emerging technique. Nowadays, coated carbide tools are replacing expensive CBN inserts in turning. Wear is a significant concern when turning with… read more here.
Keywords: neural network; hard turning; tool; condition monitoring ... See more keywords
Markov Transition Field Enhanced Deep Domain Adaptation Network for Milling Tool Condition Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13060873
Abstract: Tool condition monitoring (TCM) is of great importance for improving the manufacturing efficiency and surface quality of workpieces. Data-driven machine learning methods are widely used in TCM and have achieved many good results. However, in… read more here.
Keywords: condition monitoring; tool condition; domain; deep domain ... See more keywords