Classification of diagnostic indexes for field oriented induction motor drives

被引：0

作者：

Bellini, A ^{[1
]}

Filippetti, F ^{[1
]}

Franceschini, G ^{[1
]}

Tassoni, C ^{[1
]}

机构：

[1] Univ Parma, I-43100 Parma, Italy

来源：

IEEE INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Non-invasive diagnosis of incipient faults of mains supplied electric machine is a wide spread technology, that allows cost-savings. Recently inverter-fed machines are becoming commonly available, thanks to technology advances. The traditional MCSA fails for closed loop machines, because of regulators impact on electrical quantities. The paper includes a study on the stator faults impact on controlled variables and machine input variables in function of drive operating frequency. This study is aimed at the development of new diagnostics indexes fitted to closed loop machines faults.

引用

页码：217 / 222

页数：6

共 10 条

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Bellini, A ;

Filippetti, F ;

Franceschini, G ;

Tassoni, C .

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