Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …

The objective of this paper is to present a comprehensive review of the contemporary
techniques for fault detection, diagnosis, and prognosis of rolling element bearings (REBs) …

Featured Application The proposed technique can be applied in different industrial
applications and it is expected to be applied to the End-of-Line (EoL) quality control of …

The conventional methods for vibration fault detection and diagnosis relies on feature
extraction from the waveforms of the vibration signals. This article exploits the scope of …

Monitoring and diagnosis of rotating machines has become an effective and indispensable
tool for the efficient and timely detection of defects, avoiding then incidents that can have …

El principal objetivo de esta investigación es desarrollar un aplicativo móvil que permita
medir la humedad en granos de café por medio del procesamiento de imágenes, de …

Digitalization of hydropower plants gives rise to the implementation of new technologies,
such as Artificial Intelligence, Smart Energy Systems, Smart Grid, Digital Twins, Industrial …

In BLDC motor applications, stator failure is a common occurrence. Therefore, this study
presents a method to diagnose stator failure in BLDC motor when it is operated at a different …

A BLDC motor is commonly used as the driver of an electric vehicle. So that this part
becomes a critical component in the electric vehicle system. Any faults in the motor can …

In this article, we discuss the use of artificial neural networks for monitoring and diagnosis to
be used in the context of real-time predictive maintenance. There are two use cases …