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Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process
Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process
Systems and methods are provided for detecting abnormal conditions and preventing abnormal situations from occurring in controlled processes. Statistical signatures of a monitored variable are modeled as a function of the statistical signatures of a load variable. The statistical signatures of the monitored variable may be modeled according to an extensible regression model or a simplified load following algorithm. The systems and methods may be advantageously applied to detect plugged impulse lines in a differential pressure flow measuring device.
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