A review on vibration-based condition monitoring of rotating machinery

M Tiboni, C Remino, R Bussola, C Amici - Applied Sciences, 2022 - mdpi.com
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Sensors and actuation technologies in exoskeletons: A review

M Tiboni, A Borboni, F Vérité, C Bregoli, C Amici - Sensors, 2022 - mdpi.com
Exoskeletons are robots that closely interact with humans and that are increasingly used for
different purposes, such as rehabilitation, assistance in the activities of daily living (ADLs) …

Advances in Machine Learning for Sensing and Condition Monitoring

SI Ao, L Gelman, HR Karimi, M Tiboni - Applied Sciences, 2022 - mdpi.com
In order to overcome the complexities encountered in sensing devices with data collection,
transmission, storage and analysis toward condition monitoring, estimation and control …

Monolithic PneuNets soft actuators for robotic rehabilitation: methodologies for design, production and characterization

M Tiboni, D Loda - Actuators, 2023 - mdpi.com
Soft-robotics for biomedical applications, such as rehabilitation robots, is a field of intense
research activity. Different actuation solutions have been proposed in the last decades …

Test-bench for the characterization of flexion sensors used in biomechanics

M Tiboni, A Filippini, C Amici, D Vetturi - Electronics, 2021 - mdpi.com
The design, prototy** and validation of an innovative test bench for the characterization
and the hysteresis measurement of flexion sensors are presented in this paper. The device …

Comparison of signal processing techniques for condition monitoring based on artificial neural networks

M Tiboni, G Incerti, C Remino, M Lancini - Advances in Condition …, 2019 - Springer
The paper presents the results of a study aimed to compare different signal processing
techniques for the condition monitoring of a mechanical system for indexing motion. Artificial …

Condition Monitoring of Pneumatic Drive Systems Based on the AI Method Feed-Forward Backpropagation Neural Network

M Tiboni, C Remino - Sensors, 2024 - mdpi.com
Machine condition monitoring is used in a variety of industries as a very efficient strategy for
equipment maintenance. This paper presents a study on monitoring a pneumatic system …

[HTML][HTML] Theoretical and Experimental Study of Energy-Harvesting and Movement-Sensing Solutions in Pneumatic Systems

M Tiboni, F Scassola, A Zanacchi, M Ghidini - Sensors, 2024 - mdpi.com
This paper presents an experimentally based study aimed at assessing the viability of
employing a commercial energy harvester to develop a self-powered end-stroke and speed …

Experimental and model-based study of the vibrations in the load cell response of automatic weight fillers

M Tiboni, R Bussola, F Aggogeri, C Amici - Electronics, 2020 - mdpi.com
The paper presents a study of the vibrations in the load cell response of automatic weight
fillers for fluids, due to the dynamics of the system. The aim is to characterize vibratory …

Smart modular architecture for supervision and monitoring of a 4.0 production plant

M Tiboni, F Aggogeri, N Pellegrini… - International Journal of …, 2019 - jstage.jst.go.jp
The paper presents a smart modular architecture that allows for a traditional production plant
to be transformed into a supervised, fully integrated, and monitored system. The proposed …