Model-Based State Estimation for the Diagnosis of Multiple Faults in Non-linear Electro-Mechanical Systems

被引：0

作者：

Gonzalez, Mikel ^{[1
,2
]}

Salgado, Oscar ^{[1
]}

Croes, Jan ^{[2
,3
]}

Pluymers, Bert ^{[2
,3
]}

Desmet, Wim ^{[2
,3
]}

机构：

[1] IK4 Ikerlan Technol Res Ctr, Control & Monitoring Area, JM Arizmendiarrieta 2, Arrasate Mondragon 20500, Spain

[2] Katholieke Univ Leuven, Dept Mech Engn, Celestijnenlaan 300 B, B-3001 Heverlee, Belgium

[3] Flanders Make, DMMS Lab, Lommel, Belgium

来源：

ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS (CMMNO 2018) | 2019年 / 15卷

关键词：

State estimation; Modeling; Virtual sensing; Digital Twin; DESIGN;

D O I：

10.1007/978-3-030-11220-2_9

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a framework for the condition monitoring of large non-linear electro-mechanical systems. Faults are assessed in different subsystems by means of joint state-parameter estimations. The different estimations are interconnected by a Digital Twin of the system, which provides background information for the physics neglected in the estimation models. In addition, the Digital Twin provides a benchmark for the estimations, which allows identifying the location and extend of faults. As application case, the condition of the guiding system and the electric machine of a vertical transportation system are evaluated. For this purpose, a scaled test bench of the vertical transportation system is used, showing the potential of this approach in the condition monitoring of complex industrial systems.

引用

页码：77 / 89

页数：13

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