Category: Predictive Maintenance

Predictive maintenance is a technique that aims to detect the need for industrial maintenance on machinery and equipment before they actually fail

Digital Twins in Industry: What they are and how they drive predictive maintenance 

Digital transformation in industry is advancing through technologies that bring the physical and virtual worlds closer together. In this context, digital twins have emerged as one of the most promising innovations, enabling industrial assets to be represented virtually in a dynamic and real-time manner.  More than just static simulations, digital twins use continuous operational data… Continue reading Digital Twins in Industry: What they are and how they drive predictive maintenance 

Predictive monitoring with AI anticipates critical failures in pump-motor assemblies

In industrial environments, asset reliability is a decisive factor for productivity. Motors, pumps, and hybrid systems like pump-motor assemblies operate continuously and are subject to natural wear, as well as mechanical and electrical failures. When maintenance teams fail to detect these issues in time, they can lead to unplanned downtime, high corrective maintenance costs, and… Continue reading Predictive monitoring with AI anticipates critical failures in pump-motor assemblies

Industrial Internet of Things: What is IIoT and how it transforms industry

The Industrial Internet of Things (IIoT) is gaining prominence in industrial digitalization strategies. More than just a technological concept, IIoT represents the integration of smart sensors, advanced connectivity, and continuous data analytics to optimize processes, reduce failures, and improve operational efficiency. In predictive maintenance, for example, this technology enables data collection directly from assets, transmission… Continue reading Industrial Internet of Things: What is IIoT and how it transforms industry

Temperature Monitoring: How to apply it in industrial maintenance 

Abnormal temperature rise is one of the earliest and most reliable signs of failure in industrial assets. For this reason, temperature monitoring has become an essential practice within predictive maintenance strategies, enabling the identification of overloads, friction issues, electrical faults, and component degradation before these events lead to unplanned downtime.  By continuously or periodically tracking… Continue reading Temperature Monitoring: How to apply it in industrial maintenance 

Predictive Maintenance: What it is, how it works, and industrial use cases

A skilled worker in safety gear interacts with advanced technology, showcasing the future of manufacturing and smart industry solutions

Modern industry, with its complexity and high production pace, relies heavily on the proper functioning of its equipment. Imagine a halted production line, critical machines out of service, or significant losses of raw materials. Unfortunately, these scenarios are a reality for many companies that overlook the importance of industrial maintenance. In fact, according to market… Continue reading Predictive Maintenance: What it is, how it works, and industrial use cases

Complete guide to Predictive Maintenance in Industry 4.0

Predictive maintenance, as defined by the Brazilian standard ABNT NBR 5462, refers to a strategy that enables asset monitoring through systematic application of analysis techniques. It aims to minimize preventive interventions and reduce corrective actions by using centralized supervision or sampling methods. In essence, predictive maintenance is a data-driven approach that focuses on anticipating failures… Continue reading Complete guide to Predictive Maintenance in Industry 4.0