Cause and effect analysis of a chemical process analysis of a plant-wide disturbance

Conference Paper · July 2005with7 Reads
DOI: 10.1049/ic:20050171 · Source: IEEE Xplore
Conference: Control Loop Assessment and Diagnosis, 2005. The IEE Seminar on (Ref. No. 2005/11008)
In continuous chemical processes, disturbances in the process conditions can propagate widely and cause secondary upsets in remote locations. The aim of this paper is to apply some recent data-driven methods for detection and diagnosis of process disturbances using historical process data that have been proving successful in a range of applications. An industrial case study is presented in which a plant-wide control system disturbance caused by the presence of a recycle was successfully located and then verified by further plant testing.
    • "This operation can reduce the dimensionality of the analysis, improve the results and facilitate their interpretation (Yuan & Qin, 2013). Commonly used methods for this purpose are different clustering algorithms, spectral and oscillation analysis or principal component analysis (PCA) (Bauer et al., 2005; Yuan & Qin, 2013). In this study, the power spectra of the time series were examined in order to detect measurements with similar dynamic behavior. "
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