Simple and Easy Steps for Implementing Predictive Maintenance in Machinery using High Frequency Vibration Data and Edge AI
Currently, the most commonly used standard for maintenance processes is Time-based Maintenance (TBM) that involves inspection, repair, and part replacement at regular intervals. In general, TBM is not optimal and cost effective. On the other hand, Condition-based Maintenance (CBM) involves the utilization of various types of sensor data collected from machines to perform repairs or other countermeasures before malfunctions or anomalies occur, hence reducing the unnecessary cost of maintenance.
- Vikas Kumar Singh
Accurate placement and precise shaft alignment of machinery components is key for optimal and efficient operation. Although none of the traditional methods are bad or inadequate if carried out correctly, they can be complex and time consuming the least..
- Geert van Rijswick
- van Geffen AMS BV
This webinar covers how condition-based maintenance fits into Industry 4.0 and examples of what a KPI toolbox can include. Hedlund provides models, such as the DuPont model, that show how we can use CBM to influence the ROI of a company. At the end, he illustrates his point with a case study from a paper mill.
- Håkan Hedlund
- SPM Instrument AB