Roller bearing failures classification with low computational cost embedded machine learning

M Bertocco, A Fort, E Landi, M Mugnaini… - … on Metrology for …, 2022 - ieeexplore.ieee.org
In this work, the authors present a Machine Learning (ML) algorithm which is able to detect
incipient failures of roller bearings starting from data provided by accelerometers. Three …

High Performance Analog MEMS for IoT Based Condition Monitoring, Characterization with a Bearing Failure Emulation Test Bench

E Landi, L Parri, R Moretti, A Fort… - … on Metrology for …, 2022 - ieeexplore.ieee.org
High performance vibration measurements are nowadays required to assess the operating
performance of modern electrical vehicles, where the increase of motor angular speed leads …

Assessment of LoRaWAN transmission systems under temperature and humidity, gas, and vibration aging effects within IIoT contexts

G Di Renzone, E Landi, M Mugnaini… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Within the big picture of the Internet of Things (IoT), a brand new paradigm has risen since
few years ago in the context of industrial scenarios: the industrial IoT (IIoT), whose aim is to …

A Characterization system for bearing condition monitoring sensors, a case study with a low power wireless Triaxial MEMS based sensor

T Addabbo, A Fort, E Landi, R Moretti… - … on Metrology for …, 2020 - ieeexplore.ieee.org
In this work the authors present an ad hoc characterization system able to emulate vibration
signatures related to various typical rotating machinery failures. In particular, the proposed …

Calibration of a multicomponent MEMS sensor for vibration monitoring of rolling bearings: Broad-band and amplitude traceability up to 20 kHz

A Schiavi, A Fort, E Landi, M Mugnaini… - … on Metrology for …, 2022 - ieeexplore.ieee.org
In the field of vibration monitoring and control, the use of low-cost multicomponent
accelerometer sensors is nowadays increasingly widespread. Low-cost multicomponent …

An Electromagnetic Gripper for Multiple Picking of Iron Laser-Cut Parts

A Fort, E Landi, M Barbieri, V Vignoli… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
This work presents a study for the multiple picking of metal parts eg obtained by laser beam
machining of iron or steel sheets. The objective is to optimize the automatic sorting of the …

An IoT sensor node for health monitoring of artwork and ancient wooden structures

E Landi, L Parri, R Moretti, A Fort… - … on Metrology for …, 2022 - ieeexplore.ieee.org
In this work the authors propose an environmental monitoring system for artworks and
wooden structures placed in museums and places of worship, based on smart BLE sensor …

Hand-arm vibration monitoring via embedded machine learning on low power wearable devices

A Fort, E Landi, R Moretti, L Parri… - … on Measurements & …, 2022 - ieeexplore.ieee.org
This paper presents a new approach for the measurement of the Hand-Arm Vibration (HAV)
exposure caused by the use of vibrating tools. In so doing, a wearable system can be …

A Low-Cost Edge Computing Device for Real-Time Detection of Motor Symptoms in Neurodegenerative Diseases Using Machine Learning

C Carissimo, G Cerro, K Komici, G Miele… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Diseases like Parkinson's affect a non-negligible percentage of elder people worldwide.
Affected people life quality strictly depends on the disease progression and counteractions …