I am trying to understand predictive monitoring concepts in TrendMiner using a cooking process as an example.
Suppose historical data shows that longer cooking cycles are often preceded by slower temperature rise rates, lower steam pressure, or abnormal valve behavior.
What TrendMiner features would you recommend for detecting these conditions early and warning operators before the cooking cycle exceeds its normal duration?
I am particularly interested in understanding the progression from trend analysis and Value Based Search toward predictive monitoring and would appreciate examples of how others have implemented this in process manufacturing.