Learn how to build an industrial lubrication plan in 8 steps, covering routes, frequency, quantity and execution control
Tag: predictive maintenance
Matrix GUT in maintenance: How to prioritize critical assets with more precision
Understand how Matrix GUT in maintenance helps prioritize critical assets based on Gravity, Urgency and Tendency
Electrical Signature Analysis: what it is and how it works in predictive maintenance
Understand what electrical signature analysis is, how it works in practice, which faults it can help identify and how it can be applied
Lubrication and Predictive Maintenance: How to integrate them in practice
Understand how lubrication and predictive maintenance integrate with sensors, oil analysis and condition data.
Vibration Analysis in equipment: from fundamentals to practice
Equipment vibration analysis is one of the most established and effective techniques in industrial predictive maintenance. Here’s how it works.
Types of industrial lubricants: How to choose the right one
Understand the types of industrial lubricants, their application methods, and how they connect to predictive maintenance.
How Predictive Maintenance Reduces the Risk of Industrial Accidents
Learn how predictive maintenance reduces the risk of industrial accidents by anticipating failures and improving safety across operations.
Predictive Maintenance in Locomotives: Technologies for Monitoring Railway Fleet Condition
Rail transport plays a strategic role in Brazilian logistics, especially in the transportation of commodities such as ore, grains, and fuels. In this type of operation, locomotive availability is a critical factor to ensure the continuity of railway flows. When an unexpected failure occurs, the impacts can be significant: traffic delays, operational rescheduling, and increased… Continue reading Predictive Maintenance in Locomotives: Technologies for Monitoring Railway Fleet Condition
Failure diagnosis in assets: Steps, tools, and best practices
Failure diagnosis in assets is an essential process to increase reliability and operational safety in industrial environments. When performed superficially or only as a corrective measure, the risk is addressing symptoms without tackling the root cause — leading to recurring failures, higher costs, and reduced productivity. Just like in medicine — where a fever can… Continue reading Failure diagnosis in assets: Steps, tools, and best practices
Data Integration: Why it is essential for predictive maintenance
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