A Delay Vector Variance based Approach for Detecting and Isolating the Non-linearity Induced Oscillations in Control Loops

被引：2

作者：

Aftab, Muhammad Faisal ^{[1
]}

Hovd, Morten ^{[1
]}

Sivalingam, Selvanathan ^{[2
]}

机构：

[1] NTNU, Dept Engn Cybernet, Trondheim, Norway

[2] Seimens AG, Trondheim, Norway

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Delay vectors; embedding dimensions; rank statistics; target variance; scatter plot; TIME-SERIES; DIAGNOSIS; STICTION;

D O I：

10.1016/j.ifacol.2017.08.992

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Non-linear time series analysis based methods are a popular choice for industrial control loop data analysis. In this paper a delay vector variance (DVV) based approach is presented to analyze the source of oscillations in an industrial control loop. The method is capable of differentiating between the linear and non-linear causes of oscillations and can also help in isolating the source of non-linearity. The automatic determination of embedding dimensions is augmented with the DVV analysis to make it more robust and reliable. The efficacy of the proposed method is established using simulation as well as industrial case studies. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：7975 / 7980

页数：6

共 19 条

[1] An Adaptive Non-Linearity Detection Algorithm for Process Control Loops [J].