Maintenance of mechanical elements is considered to be the most crucial task in industry
and a® ects the economics, predominantly. There are many techniques available for fault …

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 …

This work is focused on the realization of a low-complexity MobileNet neural network able to
classify different bearing failure vibration signals. The network was designed to be deployed …

In this work, we present a diagnosis system for rolling bearings that leverages simultaneous
measurements of vibrations and machine rotation speed. Our approach combines the …

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 …

In this article, we present a condition monitoring technique using temperature and vibration
sensors. The research was done with advanced sensor technology that helps us to …

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 …

In this work, an AI enabled fault classification system for roller bearings based on an
approach tailored for embedded implementation is presented. The fault classification system …

По мірі розвитку сучасних технологій з'єднання пристроїв, обробки великих даних,
інтелектуальної аналітики розвивається технологія Інтернет речей (ІоТ) все більше …

The object of the research is the data collection processes on road conditions in monitoring
and maintenance systems based on Internet of Things (IoT) technologies. A concept of data …