Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review

DY Pimenov, A Bustillo, S Wojciechowski… - Journal of Intelligent …, 2023 - Springer
The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review

Y Liu, L Guo, H Gao, Z You, Y Ye, B Zhang - Mechanical Systems and …, 2022 - Elsevier
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Recent advances in reliability analysis of aeroengine rotor system: a review

XQ Li, LK Song, GC Bai - International Journal of Structural Integrity, 2022 - emerald.com
Purpose To provide valuable information for scholars to grasp the current situations,
hotspots and future development trends of reliability analysis area. Design/methodology …

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review

J Zhang, J Wu, Y Qiu, A Song, W Li, X Li… - Computers in Biology and …, 2023 - Elsevier
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

A critical review on applications of artificial intelligence in manufacturing

O Mypati, A Mukherjee, D Mishra, SK Pal… - Artificial Intelligence …, 2023 - Springer
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …

A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering

Y Dun, L Zhu, B Yan, S Wang - Mechanical Systems and Signal Processing, 2021 - Elsevier
Chatter is a typical fault in milling, which is a self-excited vibration. Chatter can be diagnosed
by using several methods, such as Delay Differential Equation (DDE) modelling methods …

Bipolar fuzzy based least squares twin bounded support vector machine

U Gupta, D Gupta - Fuzzy Sets and Systems, 2022 - Elsevier
Data classification is a key domain of research in real-world applications. One of the big
challenges of real-world data classification is to tackle the presence of noise and outliers. In …

Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics

Y Liu, T Wang, F Chu - Expert Systems with Applications, 2024 - Elsevier
For condition monitoring and predictive maintenance of high-end manufacturing equipment,
surface roughness is a critical metric to evaluate machining quality. Designing a method that …

A novel vibro-acoustic fault diagnosis method of rolling bearings via entropy-weighted nuisance attribute projection and orthogonal locality preserving projections …

D Yang, Y Lv, R Yuan, K Yang, H Zhong - Applied Acoustics, 2022 - Elsevier
Accurate fault pattern recognition under various operating conditions is a huge challenge for
vibro-acoustic fault diagnosis of rolling bearings. Traditional feature fusion methods are …

Noise and vibrations in machine tools

K Wegener, F Bleicher, U Heisel, HW Hoffmeister… - CIRP Annals, 2021 - Elsevier
Mechanical manufacturing processes and their production machinery are noisy. The noise
always stems from transient forces that excite the structure to vibrations, emitting sound …