Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …

Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …

In recent years, the industrial environment has been changing radically due to the
introduction of concepts and technologies based on the fourth industrial revolution (Sendler …

The fourth industrial revolution is transforming the industrial environment. This work focuses
on the application of 4.0 technologies to solve the problems that predictive maintenance …

The business world is continually changing. Dynamic environments, full of uncertainties,
complexities, and ambiguities, demand faster and more confident decisions. To compete in …

The purpose of this article is to study the issues of industrial maintenance, one of the critical
drivers of Industry 4.0 (I4. 0), which has contributed to the advent of new industrial …

Industry 4.0 is the latest technological age, in which recent technological developments are
being integrated within industrial systems. Consequently, maintenance management of …