A Data-Driven Approach for Fault Diagnosis in Gearbox of Wind Energy Conversion System

被引：0

作者：

Krueger, Minjia ^{[1
]}

Ding, Steven X. ^{[1
]}

Haghani, Adel ^{[1
]}

Engel, Peter ^{[2
]}

Jeinsch, Torsten ^{[3
]}

机构：

[1] Univ Duisburg Essen, Inst Automat Control & Complex Syst, Fac Engn, BB, Bismarckstr 81, D-47057 Duisburg, Germany

[2] PC Soft GmbH, D-01968 Senftenberg, Germany

[3] Univ Rostock, Inst Automat, D-18119 Rostock, Germany

来源：

2013 2ND INTERNATIONAL CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL) | 2013年

关键词：

Wind energy conversion system; Fault diagnosis; Data-driven;

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：

With a fast growing of wind power installed capacity, an efficient monitoring system for wind energy conversion system (WEC) is required to ensure operational reliability, high availability of energy production and at the same time reduce operating and maintenance costs. In this paper, an efficient, scaleable data-driven on-line WEC monitoring method is introduced, which consists of three parts: 1) off-line training process 2) on-line monitoring phase 3) on-line diagnosis phase. The performance and effectiveness of this method for the detection of process abnormalities are demonstrated using the data obtained from different wind turbines in a wind farm.

引用

页码：359 / 364

页数：6

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