Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions

S Sayyad, S Kumar, A Bongale, P Kamat, S Patil… - IEEE …, 2021 - ieeexplore.ieee.org
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …

Chatter detection in milling processes—a review on signal processing and condition classification

JH Navarro-Devia, Y Chen, DV Dao, H Li - The International Journal of …, 2023 - Springer
Among the diverse challenges in machining processes, chatter has a significant detrimental
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …

Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises

S Yan, H Shao, Y Xiao, B Liu, J Wan - Robotics and Computer-Integrated …, 2023 - Elsevier
Anomaly detection of machine tools plays a vital role in the machinery industry to sustain
efficient operation and avoid catastrophic failures. Compared to traditional machine learning …

Anomaly detection for predictive maintenance in industry 4.0-A survey

P Kamat, R Sugandhi - E3S web of conferences, 2020 - e3s-conferences.org
Maintenance and reliability professionals in the manufacturing industry have the primary
goal of improving asset availability. Poor and fewer maintenance strategies can result in …

Digital twins for high-tech machining applications—a model-based analytics-ready approach

A Hänel, A Seidel, U Frieß, U Teicher… - … of Manufacturing and …, 2021 - mdpi.com
This paper presents a brief introduction to competition-driven digital transformation in the
machining sector. On this basis, the creation of a digital twin for machining processes is …

UzADL: Anomaly detection and localization using graph Laplacian matrix-based unsupervised learning method

BA Ugli Olimov, KC Veluvolu, A Paul, J Kim - Computers & Industrial …, 2022 - Elsevier
Visual inspection is an essential quality control process in industrial businesses. It is usually
automated due to its tedious procedure. An automated visual inspection (AVI) attempts to …

Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey

MR Pervez, MH Ahamed, MA Ahmed, SM Takrim… - Journal of Manufacturing …, 2022 - Elsevier
Autonomous Grinding (AG) is a unique kind of manufacturing process which needs extra
operative care, for both robot and environment. Due to the rapid growth of research on AG, a …

[HTML][HTML] AI-based optimisation of total machining performance: A review

K Ullrich, M von Elling, K Gutzeit, M Dix… - CIRP Journal of …, 2024 - Elsevier
Advanced modelling and optimisation techniques have been widely used in recent years to
enable intelligent manufacturing and digitalisation of manufacturing processes. In this …

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models

S Sayyad, S Kumar, A Bongale, K Kotecha, A Abraham - Sensors, 2023 - mdpi.com
The milling machine serves an important role in manufacturing because of its versatility in
machining. The cutting tool is a critical component of machining because it is responsible for …

[HTML][HTML] Surface conditioning in cutting and abrasive processes

V Schulze, J Aurich, IS Jawahir, B Karpuschewski… - CIRP Annals, 2024 - Elsevier
Cutting and abrasive processes affect the surface layer state of the components treated. This
determines their performance in service. An adjustment of the surface layer properties would …