Fault Diagnosis for Gas Turbine Blade Based on ABC- RVM algorithm

被引：0

作者：

Chen Li-wei ^{[1
]}

Pu Ying-dong ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Peoples R China

来源：

2014 FOURTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2014年

关键词：

temperature signal; fault diagnosis; ABC-; RVM;

D O I：

10.1109/IMCCC.2014.27

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a fault diagnosis scheme for gas turbine blade is developed. The proposed system is based on the artificial bee colony algorithm optimize relevance vector machine (ABC-RVM) to accomplish this goal. First the characteristics extraction was researched, then Then ABC-RVM is used for the intelligent fault diagnosis and health warning provides scientific theory and effective method for the fault diagnosis.

引用

页码：93 / 97

页数：5

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