As long as you don't set a fixed time frame for the observation/analysis, everything will be just a more or less useful heuristic.

Anyhow, I think you want to fit a trend line through the entire data1, and if it isn't flat, you likely have a leak.  This assumes the evaluation interval is (considerably) longer than the period of any cyclic behavior you might observe.

___

1 if you're worried about outliers, you might want to look for a statistics package that can compute the fit based on minimizing linear deviations, instead of squared deviations, as done in a standard "least squares" fit (see also LAD).


In reply to Re^5: leak detection in other (non-perl) processes by Eliya
in thread leak detection in other (non-perl) processes by apprentice

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