Four practical case examples of pattern recognition in Wedge
Wedge makes it possible to use advanced algorithms to recognize patterns in process and quality data. Below, we have introduced four practical applications of pattern recognition that help Wedge users…
Process knowledge and efficient data use are key to energy efficiency
Industry processes traditionally generate a lot of data, but from an energy-efficiency point of view, it may not be relevant data or the right kind of data. Energy use does…
The most common user scenarios for data analytics with Wedge
When we categorized the most common Wedge user scenarios, the following cases came up. Different user scenarios are usually linked together; for example, the situation awareness view also includes the…
Why process analytics with Wedge is so popular at mill sites
It is an outdated belief that data utilization is the job of only a group of dedicated people, like development engineers. With a well-designed diagnostics tool, process data analytics is…
Center Lining helps optimize plant operations and induces continuous improvement
Process stabilization is critical for all industrial processes to ensure uniform quality and low production costs. Center lining is a commonly used term for keeping key process variables at desired…
3 steps to efficient trial runs with external partners
During trial runs, it’s crucial to have clear roles and tools that support the work. Operators must be able to focus on the process and get clear instructions for the…
The 12 deadly sins in the utilization of process data!
We all want to make the most from our process data, but occasionally we fail to do so. Check out our list of the 12 deadly sins in the utilization of process data! Are…