The evolution of industrial maintenance increasingly depends on the ability to transform scattered information into actionable intelligence. In this context, data integration goes beyond being just a technical step and becomes a strategic pillar for predictive maintenance and asset management. In this manner, by consolidating information from IoT sensors, supervisory systems (SCADA), ERPs, CMMS, and… Continue reading Data Integration: Why it is essential for predictive maintenance
Tag: predictive maintenance
How to increase the reliability of industrial assets?
Increasing the reliability of industrial assets is one of the greatest challenges for maintenance engineers and managers. Reliability is directly linked to a piece of equipment’s ability to perform its intended function without failure during the planned operating period. When reliability is low, it compromises productivity, raises maintenance costs, and puts operational safety at risk.… Continue reading How to increase the reliability of industrial assets?
How to ensure reliable data from wireless vibration sensors
Find out in this article how to get reliable sensor data from Dynamox technology and wireless vibration sensors
How to detect equipment failures through spectral nalysis
Learn how to identify industrial asset failures using spectral analysis to identify vibration patterns in components.
How to calculate the ROI of equipment maintenance?
Learn how to calculate the ROI of equipment maintenance adjusted to your company’s reality and tips on how to reduce costs.
Industry 4.0 applied to predictive asset maintenance
Understand the impacts of betting on predictive maintenance solutions combined with Industry 4.0 concepts in your business.
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
Corrective Maintenance in Industry: Definition, Types, Risks, and How to Avoid It
In industrial operations, failures happen. Often, the way you respond to these failures determines the impact on plant performance. Corrective maintenance is the intervention that occurs after equipment breakdowns. It is commonly applied to low-criticality assets or in operations with limited technical maturity. Although sometimes unavoidable, corrective maintenance carries significant risks when used frequently. Unplanned… Continue reading Corrective Maintenance in Industry: Definition, Types, Risks, and How to Avoid It
Predictive maintenance: Definition and key industrial applications
Reduce maintenance costs, prevent unplanned downtime, and maximize asset availability with Dynamox’s predictive maintenance solutions.
Identification of fault in a Conveyor Belt Scraper
Conveyor Belt Scraper: See how the Vale team identified a fault using Dynamox technology On June 12, 2024, the maintenance team from Vale, in Brucutu, installed TcAs sensors on the primary and secondary scrapers of this conveyor belt. The mission was to verify the efficiency of the technology in identifying defects or potential faults in… Continue reading Identification of fault in a Conveyor Belt Scraper