For all of the following formulas q is the sensor metric time series of interest, and t is time.
a. Machine learning
This method provides the most powerful and complex algorithm, allowing more flexibility in learning the intricate short—and long-term behaviours of your time series sensor data.
b. Linear
The linear option allows you to fit a linear curve over your sensor data with an upward or downward trend, following the general equation of:
The model fits the best values for the two parameters of the equation.
c. Exponential
The exponential option allows you to fit an exponential curve over your sensor data with an upward or downward trend, following the general equation of:
d. Harmonic
The harmonic option allows you to fit a harmonic curve over your sensor data with a downward trend only, following the general equation of:
e. Hyperbolic
The hyperbolic option allows you to fit a hyperbolic curve over your sensor data with a downward trend only, following the general equation of:
where 0 < b < 1 is the third parameter in this case.
Note that for these curve-fitting methods (b to e), the calculated parameters are available after the analysis is done in the pattern list view:
or on hover over the pattern in the graph.