Artificial neural networks for real-time fault diagnostics in asynchronous electric drives

被引：0
|
作者：
Chetat, B. [1 ]
Hoja, J. [2 ]
机构：
[1] Boumerdes University, Algeria
[2] Msila University, Algeria
来源：
Russian Electrical Engineering | 2003年 / 74卷 / 12期
关键词：
Diagnostic algorithms - Power circuits - Real-time fault diagnostics - Stator-winding phases;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The possibility of developing diagnostic systems for controllable asynchronous electric drives on the basis of neural networks combined in a decision-making system for the identification of various defects and determination of a rational diagnostic sequence is considered. The number of determinable diagnostic variables of the object permitting relatively reliable defect detection under external perturbations is optimized.
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页码：21 / 26
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