FALCON allows making immediate use of the benefits of condition based maintenance: the Accurex™ automatic diagnostic works instantly based on the first measurement. Faults detected are available right in front of the machine such enabling interaction with the user (bearing lubrication, temperature control…) and optimization of the maintenance process. Based on the ISO 10816 standard and on ONEPROD 30+ years of experience, FALCON’s built-in automatic diagnostic module provides unbeatably relevant and reliable results.

Discover the hidden costs of machine misalignment and the importance of predictive maintenance. Learn how to calculate and mitigate these expenses, considering supply chain factors. Dive into our blog for insights on minimizing misalignment costs through proactive strategies.

Root Cause Failure Analysis (RCFA) is a crucial tool for dissecting failures, going beyond symptoms to identify underlying issues. This exploration outlines the key steps of RCFA, emphasizing its significance. Illustrated through the Deepwater Horizon oil spill, RCFA proves transformative, revealing contributing factors and root causes. The case underscores the power of RCFA in prompting corrective actions and fostering a culture of improvement. As organizations embrace RCFA, they fortify against future challenges, ensuring resilience and continuous enhancement.

Eager to dive deeper into the world of structural materials? Discover the untold stories of resilience, the science behind lasting structures, and the strategies to conquer fatigue and durability challenges. Our comprehensive article is your gateway to a world where knowledge is the key to engineering success. Read on to uncover the secrets that shape our modern infrastructure.

Electric motors are the workhorses of modern industry. Two primary types, DC and AC motors, play crucial roles, with squirrel cage rotor induction motors being the workhorse of choice for their simplicity and reliability. Understanding their components and detecting common failures through vibration analysis is vital for their longevity. The motor's identification plate holds key information. In an automated world, these skills keep industries running smoothly, powered by these silent technological champions.

This article has explored why vibration analysis training is essential. It prevents equipment failures, enhances operational safety, and extends the lifespan of machinery. Various industries, including manufacturing, energy, aerospace, and transportation, benefit significantly from this training. To get started, one should find a reputable training provider, choose the right course, engage in hands-on practice, and consider obtaining certification. By investing in vibration analysis training, professionals not only save costs but also contribute to the efficiency and sustainability of their organizations.

In the realm of vibration analysis, the crucial distinction between reliable and misleading data holds paramount importance. Delving into the causes and manifestations of erroneous data, alongside strategies for elevating data integrity, is pivotal for future improvements in data quality.

Rolling element bearings play a vital role in machinery, but non-synchronous defect frequencies can pose challenges. Manufacturing imperfections, misalignment, and operating conditions contribute to these irregular vibrations. To mitigate risks, precision manufacturing, accurate alignment, and condition monitoring are crucial. Understanding and addressing non-synchronous defect frequencies ensure optimal performance and reliability of bearings.

The severity of the drop testing can be affected by a variety of factors, including the height of the fall, the surface on which the object lands, and the shape and composition of the object.

Shape and composition are two additional factors that affect severity. Objects with sharp edges or points are more likely to suffer damage than those that are smooth and round. Additionally, objects made of sturdy materials are less likely to break than those made of weaker materials.