Downtime is expensive. Effective monitoring solutions for industrial maintenance can reduce downtime and give your company a competitive advantage in managing your assets over the long term. However, understanding what artificial intelligence (AI) and machine learning concepts mean to an organisation can be a challenge. Many opinions and expectations exist Read more…
Prioritize machinery that genuinely demands attention. As data sets grow, their complexity often leads to confusion and inefficiencies. Access topertinent, comprehensible, and actionable detail is a significant challenge. Enter Coe, thedigital co-engineer from Distence, the creators of condence.io, that’s here to revolutionizeprescriptive maintenance. By focusing on rotating machinery – a Read more…
In this case, the customers industrial gearboxes were manually monitored as part of their normal maintenance program. This process was, however, time-consuming, hard to scale, and costly. The customer was looking for a more efficient and effective solution. This example is built using data from a real gearbox case that Read more…
A manufacturing company had been experiencing issues with their production equipment, specifically with bearing failures in electric motors and fans. These had eventually resulted in costly repairs and downtime. The company had implemented a vibration-based condition monitoring program with traditional threshold monitoring to detect issues in their equipment. This example Read more…
We are proud to make something very complex into something understandable. Access to relevant, understandable, and actionable information is hard, and the more data there is, the harder it gets. To compound to this challenge, many of the traditional condition monitoring- based KPI’s like peak-to-peak and kurtosis are excellent metrics, Read more…