Vibration analysis is a proven technology to predict machine failure and detect the root cause of the problem. Once a failure mode is detected it is important to understand and eliminate the source to maximize the life of the machine. A food processing facility was experiencing high vibration levels in
In all industries, it’s vital to stay ahead of machine breakdowns to minimize replacement costs so that you can stay on schedule. Never is this truer than in the U.S. military, where the cost of unplanned downtime isn’t just money – it’s lives. Read on to see why and how
June 25, 2019: VibePro is proud to announce our newest innovation in wireless route data collection. Bluetooth for VibePro now offers an affordable single channel data vibration analysis and route data collection. Our VibePro Bluetooth solution for route-based data collection and analysis combines the features of our award-winning VibePro8 software
For all manufacturers, preventing breakdowns is essential to minimize downtime and reduce expensive repair costs. In recent years, technologies like the Industrial Internet of Things (IIoT), big data analytics, and cloud storage have moved from the realm of science-fiction to near ubiquity on the production line. These technologies allow vehicles,
While manufacturing has experienced employment ups and downs over the past few decades, in recent years it’s become clear that there is a growing labor shortage that needs to be addressed. Even though manufacturing has some of the highest employee satisfaction numbers, there is still a critical gap between the
Supply chain logistics is defined as the design, planning, execution, control, and monitoring of supply chain activities to increase customer value and reduce costs. Building a competitive supply chain infrastructure is important for every industry and requires companies to make sure their supply matches the demand for their products and
Recent trends show that more and more manufacturers are looking to expand in the US or move capacity back from overseas. To do this, companies will have to look for new, smarter ways to improve performance, increase machine reliability, maximize workforce effectiveness, and increase uptime. Informed decisions must be made
At the core of any good predictive maintenance program there needs to be data. To determine when and how a machine fault may occur, it’s critical to examine what’s happened in the past. With the advent of IIoT and the massive surge in the predictive maintenance market, it’s undeniable that
As predictive maintenance solutions continue growing in popularity, more and more companies in a variety of industries are beginning to realize the value in harnessing machine analytics for condition monitoring. No longer susceptible to costly unplanned downtime and unnecessary repairs, major corporations can now utilize advanced predictive maintenance technologies to
With both predictive maintenance solutions and IIoT continuing to grow in popularity, it’s important to reflect on their utilization in 2018 to identify future trends and usage rates as we approach 2019. After reviewing industry survey results and analyzing the scale of IIoT development, it is clear that both manufacturing
“Launching a predictive maintenance program is not merely an operational upgrade; it’s a strategic investment. By anticipating failures before they occur, we not only save substantial costs but also significantly reduce downtime. This proactive approach transforms maintenance from a cost center into a value driver, ensuring our machinery’s longevity and our business’s uninterrupted success.”
