Analysis of IoT security challenges and its solutions using artificial intelligence
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
Estimation of lithium-ion battery discharge capacity by integrating optimized explainable-AI and stacked LSTM model
Accurate lithium-ion battery state of health evaluation is crucial for correctly operating and
managing battery-based energy storage systems. Experimental determination is problematic …
managing battery-based energy storage systems. Experimental determination is problematic …
Tool condition monitoring methods applicable in the metalworking process
This article reviews and analyzes the approaches utilized for monitoring cutting tool
conditions. The Research focuses on publications from 2012 to 2022 (10 years), in which …
conditions. The Research focuses on publications from 2012 to 2022 (10 years), in which …
Detection of compound faults in ball bearings using multiscale-SinGAN, heat transfer search optimization, and extreme learning machine
Intelligent fault diagnosis gives timely information about the condition of mechanical
components. Since rolling element bearings are often used as rotating equipment parts, it is …
components. Since rolling element bearings are often used as rotating equipment parts, it is …
Machine learning in manufacturing towards industry 4.0: From 'for now'to 'four-know'
T Chen, V Sampath, MC May, S Shan, OJ Jorg… - Applied Sciences, 2023 - mdpi.com
While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …
(ML) is playing a critical role in the digitalization of manufacturing operations towards …
Artificial intelligence-based data-driven prognostics in industry: A survey
MA El-Brawany, DA Ibrahim, HK Elminir… - Computers & Industrial …, 2023 - Elsevier
In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
Enhancing tool wear prediction accuracy using Walsh–Hadamard transform, DCGAN and dragonfly algorithm-based feature selection
Tool wear is an important concern in the manufacturing sector that leads to quality loss,
lower productivity, and increased downtime. In recent years, there has been a rise in the …
lower productivity, and increased downtime. In recent years, there has been a rise in the …
[HTML][HTML] Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy
Tool wear negatively affects machined surfaces and causes surface cracking, therefore
increasing manufacturing costs and degrading product quality. Titanium alloys, which are …
increasing manufacturing costs and degrading product quality. Titanium alloys, which are …
AI‐Driven Digital Twin Model for Reliable Lithium‐Ion Battery Discharge Capacity Predictions
The present study proposes a novel method for predicting the discharge capabilities of
lithium‐ion (Li‐ion) batteries using a digital twin model in practice. By combining cutting …
lithium‐ion (Li‐ion) batteries using a digital twin model in practice. By combining cutting …
Integrating physics-informed recurrent Gaussian process regression into instance transfer for predicting tool wear in milling process
B Qiang, K Shi, N Liu, J Ren, Y Shi - Journal of Manufacturing Systems, 2023 - Elsevier
Effective management of tool condition is of key importance to produce precision parts with
desirable structural shape and excellent surface integrity. Due to the variable cutting …
desirable structural shape and excellent surface integrity. Due to the variable cutting …