Induction drive speed monitoring by neural networks

被引：0
|
作者：
Raison, B [1 ]
François, F [1 ]
Rostaing, G [1 ]
Rognon, JP [1 ]
机构：
[1] ENSIEG, CNRS, UMR 5529, INPG,UJF,Lab Electrotech Grenoble, F-38402 St Martin Dheres, France
来源：
IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES | 2000年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a fault detection and isolation (fdi) scheme with neural networks dedicated to the faults in the mechanical part of the drive. This method is designed to be suitable for a variable speed drive fed by an electronic device. After a presentation of the models of the drive components, faults characterization is reminded and the fdi scheme is introduced, trained and tested for different speeds.
引用
收藏
页码：859 / 863
页数：5
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