Industrial gearbox with potential gear issue – Detected by Condence Coe
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
Industrial fan with a bearing failure – Detected by Condence Coe
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
Coe – Co-engineer specialized in prescriptive maintenance
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,
Case study: Detecting Early-stage Bearing Failure with Lubrication Indicator
Introduction Customer with an industrial production plant working 24/7—critical process equipment in a critical part of the process. The device had four bearings in total in two bearing blocks. If any of these bearings have a failure, it will require a shutdown of the whole production line leading to significant
Case study: Increased Situational Awareness
Introduction This customer is a global forestry company operating in Finland. For them, sustainability is a key driver. That, together with work safety, made it important to introduce condition monitoring to this site. Prior to Condence, there was no online condition monitoring in place. The objective was to improve situational
