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 …

In the field of vibration monitoring and control, the use of low-cost multicomponent MEMS-
based accelerometer sensors is nowadays increasingly widespread. Such sensors allow …

High performance vibration measurements are nowadays required to assess the operating
performance of modern electrical vehicles, where the increase of motor angular speed leads …

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 …

In this paper, an IoT sensor node, based on smart Bluetooth low energy (BLE), for the health
monitoring of artworks and large wooden structures is presented. The measurements from …

In the field of vibration monitoring and control, the use of low-cost multicomponent
accelerometer sensors is nowadays increasingly widespread. Low-cost multicomponent …

The high investment cost, which is in majority introduced by the sensor costs, is one of the
barriers for adopting Predictive Maintenance/Condition-Based Maintenance strategy in the …

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 …

IoT condition monitoring is becoming increasingly widespread. With the improvement of the
performance of embedded microcontrollers, there is the possibility to increase the quantity of …

Purpose In recent years, there has been a widespread use of micro-electromechanical
system (MEMS) technology by researchers in the field of condition monitoring. This research …