© 2016 Elsevier Ltd. All rights reserved.Transient disturbances in process measurements compromise the accuracy of some methods for plant-wide oscillation analysis. This paper presents a method to remove such transients while maintaining the dynamic features of the original measurement. The method is based on a nearest neighbors imputation technique. It replaces the removed transient with an estimate which is based on the time series of the whole measurement. The method is demonstrated on experimental and industrial case studies. The results demonstrate the efficacy of the method and recommended parameters. Furthermore, inconsistency indices are proposed which facilitate the automation of the method
ABSTRACT: Detection of oscillation is a necessary step for determining valve stiction, which is a co...
Industrial systems often encounter abnormal conditions due to various faults or external disturbance...
Plant-wide oscillation detection is an important task in the maintenance of large-scale industrial c...
Transient disturbances are increasingly relevant in process industries which rely on electromechanic...
This paper proposes a method for detecting oscillations in non-stationary time series based on the s...
Oscillations occurring in industrial process plants often reflect the presence of severe disturbance...
This paper compares a selection of methods for detecting oscillations in control loops. The methods ...
Abstract—A plant-wide oscillation in a chemical process often has an impact on product quality and r...
This study aims to develop and test a new accelerated method for analyzing low-frequency oscillation...
The profitability of any industrial process is closely related to its ability to maintain near optim...
This thesis is concerned with extending process monitoring and diagnosis to electrical and mechanica...
This paper reviews existing data-driven methods according to three criteria: the properties of the m...
This dissertation presents an Oscillation Monitoring System (OMS) based on real-time wide-area measu...
Plant-wide oscillations are common in many industrial processes. During the past few years, various ...
Automatic oscillation detection for univariate time series is the very first step in detection and c...
ABSTRACT: Detection of oscillation is a necessary step for determining valve stiction, which is a co...
Industrial systems often encounter abnormal conditions due to various faults or external disturbance...
Plant-wide oscillation detection is an important task in the maintenance of large-scale industrial c...
Transient disturbances are increasingly relevant in process industries which rely on electromechanic...
This paper proposes a method for detecting oscillations in non-stationary time series based on the s...
Oscillations occurring in industrial process plants often reflect the presence of severe disturbance...
This paper compares a selection of methods for detecting oscillations in control loops. The methods ...
Abstract—A plant-wide oscillation in a chemical process often has an impact on product quality and r...
This study aims to develop and test a new accelerated method for analyzing low-frequency oscillation...
The profitability of any industrial process is closely related to its ability to maintain near optim...
This thesis is concerned with extending process monitoring and diagnosis to electrical and mechanica...
This paper reviews existing data-driven methods according to three criteria: the properties of the m...
This dissertation presents an Oscillation Monitoring System (OMS) based on real-time wide-area measu...
Plant-wide oscillations are common in many industrial processes. During the past few years, various ...
Automatic oscillation detection for univariate time series is the very first step in detection and c...
ABSTRACT: Detection of oscillation is a necessary step for determining valve stiction, which is a co...
Industrial systems often encounter abnormal conditions due to various faults or external disturbance...
Plant-wide oscillation detection is an important task in the maintenance of large-scale industrial c...