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Showing results for tags 'regression'.
Scenario: I have created a regression or prediction model for my process but i want to apply that same regression model to another set of signals or a different period of time. This could be helpful for comparing how one piece of equipment is operating when compared against a regression built for another system. It could be used to predict how a system will behave based on how some other similar system behaved. It could be used predict how a system will behave before you have enough information to build that system or run its own model, or any number of applications where we might want to
The following steps will create a prediction model for every capsule in a condition. Step 1. pick a condition with capsules that isolate the desired area of regression. Any condition with non-overlapping capsules will work as long as there are enough sample points within its duration. For this example, an increasing temperature condition will be used. However, periodic conditions and value search conditions will work as well. Step 2. Create a time counter for each capsule in the condition. This can be done with the new timesince() function in the formula tool. The timesince() fun
Hi! I have two sets of data in Seeq, namely the flow through an unit with several pieces of equipment and the total pressure drop. The trend is clear visible in a X-Y scatter plot (although a certain dispersion is present) and now I would like to make a regression (2nd order polynomial) and get the equation coefficients (y=a+b*X+c*X^2). I used to the same with the trendline function of Excel. I tried to use the Prediction tool, but the coefficients returned by Seeq seem not to fit the data. Moreover, i don't see the regressed function plotted on the X-Y scatter plot. Anyone can tell
Hi Everyone, I have a case scenario where we would like to predict the number of days before a parameter reaches a set limit. For example, I wanted to see in my trend a dash line where my Tank Level would reach 80%. Correct me if I am wrong but the Predictive Tool for Seeq uses co-variance signals to generate a forecasted signal. What I wanted to achieve is to forecast the predictive value of a signal in the next succeeding days or hours. Am I able to do so in SEEQ? Regards, Ricky