About this video
In today’s demonstration, we’ll explore how TrendMiner can help identify the underlying reasons behind a temperature spike in a reactor, impacting product quality. Let’s walk through a step-by-step analysis, starting with the search for similar temperature spikes, followed by overlaying the identified events on a focus chart. Next, we’ll delve into the cross-correlation tool to uncover correlations between various process tags and the temperature spike. By leveraging this tool, we’ll pinpoint the influential tags, emphasizing the correlation between the cooling water temperature and the reactor temperature.
Through this demonstration, we’ll witness the efficient utilization of TrendMiner to identify the likely root cause of the temperature issue, offering invaluable insights for process optimization and improvement.