Online detection of time-variant oscillations based on improved ITD

被引：23

作者：

Guo, Zixu ^{[1
]}

Xie, Lei ^{[1
]}

Ye, Taihang ^{[1
]}

Horch, Alexander ^{[2
]}

机构：

[1] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China

[2] ABB Corp Res Ctr Germany, D-68526 Ladenburg, Germany

来源：

CONTROL ENGINEERING PRACTICE | 2014年 / 32卷

关键词：

Online oscillation detection; Intrinsic time-scale decomposition; Time-variant oscillation; Nonlinear oscillation; CONTROL LOOPS; DECOMPOSITION; DIAGNOSIS;

D O I：

10.1016/j.conengprac.2014.07.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An online detector for time-variant oscillations in univariate time-series is proposed. This paper is motivated by the fact that it is still an open problem to design a real-time oscillation detector which is applicable to non-linear, non-stationary and intermittent oscillations. The proposed procedure is based on intrinsic time-scale decomposition (ITD) and contains (i) an improved iteration termination condition for ITD with on-line back-redecomposition and (ii) a novel hypothesis test with a robust statistic of variation coefficient which enables online monitoring of time-variant oscillations. The proposed approach is computationally efficient, does not require a priori supervision window and is better applicable for online detection of time-variant oscillations. In addition, it preserves nonlinear features in process variables which facilitates subsequent oscillation diagnosis. Simulation examples and industrial applications are provided to demonstrate the effectiveness of the proposed online oscillation detector. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：64 / 72

页数：9

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