MovingOutlier

Performs moving band outlier calculation.

The function computes a band in a time window, based on the percentiles within this time window and if a certain point is beyond this band (including a user defined tolerance) the value is identified as an outlier. The function returns 1 if outlier is detected

Syntax

MovingOutlier(expression, # of data points before, # of data points after, low percentile value,high percentile value, tolerance value)

• expression: signal expression
• # of data points before - integer number of points in the signal expression before the current date in the aggregation range
• # of data points after - integer number of points in the signal expression after the current date in the aggregation range
• low percentile value
• high percentile value
• tolerance value

Example

 MovingOutlier("produced oil per time increment" in "STB", 3, 3, 20, 80, 1)

As you see in the following table the MovingBandOutlier with 3 data points back and 3 data points forward in time produces following output based on the 'original signal' as input: