Fault diagnosis in induction machines using the generalized structured singular value

被引：8

作者：

Henry, D ^{[1
]}

Zolghadri, A ^{[1
]}

Monsion, M ^{[1
]}

Cazaurang, F ^{[1
]}

机构：

[1] Univ Bordeaux 1, Lab Automat & Product, UMR 5131, CNRS, F-33405 Talence, France

来源：

CONTROL ENGINEERING PRACTICE | 2002年 / 10卷 / 06期

关键词：

induction motors; stator failures; broken rotor bars; subspace-based identification; generalized structured singular value;

D O I：

10.1016/S0967-0661(02)00015-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A model-based approach for off-line fault diagnosis in induction machines is presented. The class of faults to be diagnosed is restricted to broken rotor bars, asymmetry in the rotor cage and asymmetry in the stator, arising due to an inter-turn fault resulting in an opening or shorting of one or more circuits of stator phase windings. The method is based on model invalidation tools and H-infinity/mu-framework models. The experimental model consists of a nominal model estimated by means of a subspace identification algorithm, together with linear fractional norm-bounded perturbations and norm-bounded unknown inputs. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：587 / 598

页数：12

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