Artificial Intelligence Enabling Denoising in Passive Electronic Filtering Circuits for Industry 5.0 Machines DOI Creative Commons
Alessandro Massaro

Machines, Journal Year: 2024, Volume and Issue: 12(8), P. 551 - 551

Published: Aug. 13, 2024

The paper proposes an innovative model able to predict the output signals of resistance and capacitance (RC) low-pass filters for machine-controlled systems. Specifically, work is focused on analysis parametric responses in time- frequency-domain filter signals, by considering a white generic noise superimposed onto input sinusoidal signal. goal using black-box support denoising process means double-stage RC filter. Artificial neural networks (ANNs) random forest (RF) algorithms are compared noisy signals. concluded defining guidelines correct voltage knowing predictions adding further elements correcting distorted suitable implementation Industry 5.0 Digital Twin (DT) applied manufacturing processes.

Language: Английский

Physics-informed Koopman model predictive control of open canal systems DOI
Ningjun Zeng, Lihui Cen,

Wentao Hou

et al.

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100845 - 100845

Published: April 1, 2025

Language: Английский

Citations

0

Artificial Intelligence Enabling Denoising in Passive Electronic Filtering Circuits for Industry 5.0 Machines DOI Creative Commons
Alessandro Massaro

Machines, Journal Year: 2024, Volume and Issue: 12(8), P. 551 - 551

Published: Aug. 13, 2024

The paper proposes an innovative model able to predict the output signals of resistance and capacitance (RC) low-pass filters for machine-controlled systems. Specifically, work is focused on analysis parametric responses in time- frequency-domain filter signals, by considering a white generic noise superimposed onto input sinusoidal signal. goal using black-box support denoising process means double-stage RC filter. Artificial neural networks (ANNs) random forest (RF) algorithms are compared noisy signals. concluded defining guidelines correct voltage knowing predictions adding further elements correcting distorted suitable implementation Industry 5.0 Digital Twin (DT) applied manufacturing processes.

Language: Английский

Citations

1