An In-Depth Study of Vibration Sensors for Condition Monitoring
Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …
[HTML][HTML] A feedforward deep neural network for predicting the state-of-charge of lithium-ion battery in electric vehicles
BP Adedeji, G Kabir - Decision Analytics Journal, 2023 - Elsevier
This study proposes a feedforward deep neural network to predict the parameters of the
lithium-ion battery in electric vehicles. Correlation analysis is used to select the candidate …
lithium-ion battery in electric vehicles. Correlation analysis is used to select the candidate …
[HTML][HTML] An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion
Abstract Industry 4.0 denotes smart manufacturing, where rotating machines predominantly
serve as the fundamental components in production sectors. The primary duty of …
serve as the fundamental components in production sectors. The primary duty of …
Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Vibration-based condition monitoring plays an important role in maintaining reliable and
effective heavy machinery in various sectors. Heavy machinery involves major investments …
effective heavy machinery in various sectors. Heavy machinery involves major investments …
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE
Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …
Geometric design and performance analysis of a foldcore sandwich acoustic metastructure for tunable low-frequency sound absorption
Acoustic metamaterial structures have received extensive attention for sound and vibration
engineering applications from the scientific community in recent years. However, the real-life …
engineering applications from the scientific community in recent years. However, the real-life …
Interfering sensed input classification model using assimilated whale optimization and deep Q-learning for remote patient monitoring
S Johar, GR Manjula - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT)-based Remote Patient Monitoring (RPM)
systems provide real-time data and insights about patients' conditions without the need for …
systems provide real-time data and insights about patients' conditions without the need for …
[HTML][HTML] Vibration-based SHM of railway steel arch bridge with orbit-shaped image and wavelet-integrated CNN classification
The study presents the data-driven applications of continuous wavelet transforms (CWT),
orbit-shaped analysis and convolutional neural networks (CNN) using GoogLeNet for …
orbit-shaped analysis and convolutional neural networks (CNN) using GoogLeNet for …
[HTML][HTML] A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Gearbox failures can lead to substantial damage, significant financial losses due to
maintenance downtimes, and, in some instances, fatalities. This study introduces an …
maintenance downtimes, and, in some instances, fatalities. This study introduces an …
B-Spline Artificial Neural Networks in Robust Induction Motor Control
F Beltran-Carbajal, H Yañez-Badillo… - IEEE …, 2024 - ieeexplore.ieee.org
Artificial intelligence stands for an excellent alternative to be considered in development of
new adaptive high-efficiency control design methodologies for uncertain modern complex …
new adaptive high-efficiency control design methodologies for uncertain modern complex …