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Detection and Diagnosis of Plant-wide Oscillations: An application study

This paper presents an overview of the emerging techniques for oscillation detection and diagnosis and investigate their efficiency through an industrial case study. The recently proposed autocorrelation function based method [15] is used for detection of multiple oscillations in process measurements and identifying signals having common oscillations. The signals having common oscillatory behavior are analyzed for the possible presence of valve stiction using the Higher Order Statistical method [1]. This method is helpful in identifying the key variables that are most likely to be the root cause of oscillations. We also present some issues pertinent to the diagnosis of oscillations, which are potential directions for future research.