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 …

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 …

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

S Yan, H Shao, Y **ao, 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 …

[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 …

[HTML][HTML] 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 …

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] A review on progress trends of machining of Carbon Fiber Reinforced Plastics

R Binali, LRR da Silva, DY Pimenov, M Kuntoğlu… - Journal of Materials …, 2024 - Elsevier
In contemporary manufacturing industries, composite materials such as carbon fiber
reinforced plastics (CFRPs) have become indispensable, finding extensive applications in …

Decision-making for the anomalies in IIoTs based on 1D convolutional neural networks and Dempster–Shafer theory (DS-1DCNN)

T Çavdar, N Ebrahimpour, MT Kakız… - The Journal of …, 2023 - Springer
The main motivation of the Internet of Things (IoT) is to enable everyday physical objects to
sense and process data and communicate with other objects. Its applications in industry are …