Diagnosis and fault signature analysis of a wind turbine at a variable speed

被引：14

作者：

Bennouna, O. ^{[1
]}

Heraud, N.

Camblong, H. ^{[2
]}

Rodriguez, M. ^{[3
]}

Kahyeh, M. A.

机构：

[1] Univ Corse, CNRS, SPE, UMR 6134, F-20250 Corte, France

[2] LIPSI ESTIA, Bidart, France

[3] Mondragon Goi Eskola Politekn, Arrasate Mondragon, Spain

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY | 2009年 / 223卷 / O1期

关键词：

data validation; gross error detection; polynomial approximation; dynamic case; fault signature analysis; GROSS-ERROR-DETECTION; DATA RECONCILIATION;

D O I：

10.1243/1748006XJRR199

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The diagnosis of dynamic linear systems has been studied in a previous paper by using the polynomial representation of each variable. Data validation and gross error detection were investigated. This paper uses fault signature analysis to detect errors in the doubly fed induction generator (DFIG) of a wind turbine. The major contribution of this paper is that the wind turbine is operating at variable speed.

引用

页码：41 / 50

页数：10

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