Predictive maintenance and fault monitoring enabled by machine learning: experimental analysis of a TA-48 multistage centrifugal plant compressor

M Achouch, M Dimitrova, R Dhouib, H Ibrahim… - Applied Sciences, 2023 - mdpi.com
In an increasingly competitive industrial world, the need to adapt to any change at any time
has become a major necessity for every industry to remain competitive and survive in their …

New sensing technologies for monitoring machinery, structures, and manufacturing processes

Z Fan, RX Gao, Q He, Y Huang, T Jiang… - Journal of Dynamics …, 2023 - ojs.istp-press.com
Sensing is the fundamental technique for sensor data acquisition in monitoring the operation
condition of the machinery, structures and manufacturing processes. In this paper, we briefly …

Applications of IoT and Advanced Analytics for manufacturing operations: a systematic literature review

A Presciuttini, A Portioli-Staudacher - Procedia Computer Science, 2024 - Elsevier
IoT is driving the digital transformation of companies into smart factories: data collected
through IoT technologies can provide powerful support to manufacturing operations …

Deep-learning-driven proactive maintenance management of IoT-empowered smart toilet

EWK See-To, X Wang, KY Lee… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The recent proliferation of Internet of Things (IoT) sensors has driven a myriad of industrial
and urban applications. Through analyzing massive data collected by these sensors, the …

Enhancing SMEs Digital Transformation through Machine Learning: A Framework for Adaptive Quality Prediction

MC Chiu, YJ Huang, CJ Wei - Journal of Industrial Information Integration, 2024 - Elsevier
As smart manufacturing expands, businesses see the importance of digital transformation,
especially for small and medium-sized enterprises (SMEs). Unlike larger companies, SMEs …

Development of an Open-Source Injection Mold Monitoring System

TEP Gomes, MS Cadete, JAF Ferreira, R Febra, J Silva… - Sensors, 2023 - mdpi.com
In the highly competitive injection molding industry, the ability to effectively collect
information from various sensors installed in molds and machines is of the utmost relevance …

Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders

X Bampoula, N Nikolakis, K Alexopoulos - Sensors, 2024 - mdpi.com
The production of multivariate time-series data facilitates the continuous monitoring of
production assets. The modelling approach of multivariate time series can reveal the ways in …

Optimal robust tracking control of injection velocity in an injection molding machine

G Wu, Z Ren, J Li, Z Wu - Mathematics, 2023 - mdpi.com
Injection molding is a critical component of modern industrial operations, and achieving fast
and stable control of injection molding machines (IMMs) is essential for producing high …

Spatio-temporal information analytics based performance-driven industrial process monitoring framework with cloud–edge-device collaboration

C Zhang, J Dong, K Peng, H Zhang - Journal of Manufacturing Processes, 2024 - Elsevier
Smart manufacturing in the context of Industry 4.0 presents new characteristics, such as
large-scale, complex sub-processes cooperation, and integrated information management …

Evaluation of Processing Conditions in the Performance of Purging Compounds for Polypropylene Injection Molding

M Carrasco, J Guerrero, M Lazo, E Adrián… - … of Manufacturing and …, 2023 - mdpi.com
Purging is a fundamental process in the injection molding sector, aiding in color transition,
material shifts, and the removal of contaminants. The purging compounds can be classified …