The concept and progress of intelligent spindles: a review

H Cao, X Zhang, X Chen - International Journal of Machine Tools and …, 2017 - Elsevier
Intelligent spindles are core components of the next-generation of intelligent/smart machine
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …

A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective

A Ladj, Z Wang, O Meski, F Belkadi, M Ritou… - Journal of Manufacturing …, 2021 - Elsevier
This paper addresses the problems of data management and analytics for decision-aid by
proposing a new vision of Digital Shadow (DS) which would be considered as the core …

Mechanical interfaces in machine tools

E Budak, A Matsubara, A Donmez, J Munoa - CIRP Annals, 2022 - Elsevier
Abstract Machine tools involve various mechanical interfaces in different forms and styles,
which affect performance significantly in terms of rigidity, thermal stability, precision, and …

Distributed bearing fault diagnosis based on vibration analysis

B Dolenc, P Boškoski, Đ Juričić - Mechanical Systems and Signal …, 2016 - Elsevier
Distributed bearing faults appear under various circumstances, for example due to
electroerosion or the progression of localized faults. Bearings with distributed faults tend to …

[HTML][HTML] Application of the vibro-acoustic signal to evaluate wear in the spindle bearings of machining centres. In-service diagnostics in the automotive industry

W Nawrocki, R Stryjski, M Kostrzewski… - Journal of Manufacturing …, 2023 - Elsevier
The correct, undisturbed operation of machines and their components is one of the essential
manifestations of an efficient production process. Continuous observation of a machine …

Distributed fault diagnosis of rotor-bearing system using dimensional analysis and experimental methods

PM Jadhav, SG Kumbhar, RG Desavale, SB Patil - Measurement, 2020 - Elsevier
Distributed defects in rolling element bearing arise due to the progression of small localized
pits. If not monitored on time, this leads to premature or may turn into catastrophic failure of a …

[PDF][PDF] 智能主轴状态监测诊断与振动控制研究进展

陈雪峰, 张兴武, 曹宏瑞 - 机械工程学报, 2018 - qikan.cmes.org
智能主轴兼具加工状态感知, 决策与执行三大特征, 可实现加工状态的自反馈与自控制,
是智能制造的核心部件, 是工业4.0 和中国制造2025 的基础支撑技术, 是下一代主轴的技术发展 …

Comparison of K-means and GMM methods for contextual clustering in HSM

Z Wang, C Da Cunha, M Ritou, B Furet - Procedia Manufacturing, 2019 - Elsevier
High speed machining (HSM) is widely used for the manufacturing of aircraft structures,
turbine blades, etc. It greatly increases the efficiency and automation for the machining …

Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model

Z Wang, M Ritou, C Da Cunha… - International Journal of …, 2020 - Taylor & Francis
Intelligent machine-tools generate a large amount of digital data. Data mining can support
decision-making for operational management. The first step in a data mining approach is the …

Knowledge-based multi-level aggregation for decision aid in the machining industry

M Ritou, F Belkadi, Z Yahouni, C Da Cunha, F Laroche… - CIRP Annals, 2019 - Elsevier
In the context of Industry 4.0, data management is a key point for decision aid approaches.
Large amounts of manufacturing digital data are collected on the shop floor. Their analysis …