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Detection of Distributed Oscillations and Root Cause Diagnosis

This article addresses the detection and diagnosis of oscillations in process measurements. Principal components analysis (PCA) can be applied to the power spectra for detection of groups of oscillatory process measurements. In cases where a well defined periodic oscillation is detected then diagnosis of the root cause is possible using a signature that grows stronger closer to the source. Two candidates for the signature are the distortion factor and a non-linearity statistic based on surrogate data. Their performance is compared using experimental data and an industrial data set.

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Details:
Technical Paper (127 KB , PDF)
Author: N.F. Thornhill, S.L. Shah, B. Huang

Description:
Matrikon™ Control Performance Monitor Technical Paper.