Trouble shooting (Int)
Find linear correlations in TrendHub
Here you will learn how to employ process knowledge of variables that are known to affect temperature change. Then identify which of the variables is more influential to the temperature.
If you wish to do the exercise, please add the following tags and configure the corresponding time periods.
Tags: TM-TSP-TI22114 // TM-TSP-TI121518 // TM-TSP-FI056
Focus chart: May 1st 2019 09:20:00AM to May 1st 2019 10:20:00AM // 1h
Context Chart: January 1st 2019 12:00:00AM to May 5th 2019 12:00:00AM // 4 Months 4 daysRecording
Build a model that can predict the temperature as a function of the two variables, using the new prediction tag,
Identifying historic anomalies to understand the cause of temperature changes in your process.
Here you will learn how to use TrendHub to analyze your historic data to identify similar patterns of behavior and relate them to underlying causes that results with the temperature spike.
If you wish to do the exercise, please add the following tags and configure the corresponding time periods.
Tags: TM-TSP-TI22114 // TM-TSP-TI121518 // TM-TSP-FI056
Focus chart: May 1st 2019 09:20:00AM to May 1st 2019 10:20:00AM // 1h
Context Chart: January 1st 2019 12:00:00AM to May 5th 2019 12:00:00AM // 4 Months 4 daysRecording
Use the similarity search to identify the number of times a temperature spike occurs in your process, then use cross correlations to identify root cause of the temperature spikes.