Outlier judgement and deterioration prediction of rotating equipment based on vibration measurement

被引：0

作者：

Goto, Satoru ^{[1
]}

Koga, Koichi ^{[1
]}

Nakamura, Masatoshi ^{[1
]}

Furue, Toshihiko ^{[2
]}

Matsuo, Chosaku ^{[2
]}

Sueyoshi, Mitsuhiro ^{[2
]}

Imaizumi, Yukio ^{[2
]}

Hatazaki, Hironori ^{[2
]}

机构：

[1] Saga Univ, Dept Adv Syst Control Engn, Saga 8408502, Japan

[2] Kyushu Elect Power Co Inc, Res Lab, Fukuoka 8158520, Japan

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2008年 / 4卷 / 01期

关键词：

rotating equipment; maintenance; deterioration prediction; outlier;

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：

In this paper, a deterioration prediction method is proposed for maintenance of rotating equipment. Status of the rotating equipment is inspected by vibration measurement. A mathematical model for the deterioration of the equipment is derived in order to predict future condition of the rotating equipment. Potential defects of the rotating equipment can also be predicted by using this method. For the construction of the mathematical model, outliers such as measurement errors are eliminated in order to improve the accuracy of the model. The effectiveness of the proposed deterioration prediction method is assured by actual data of rotating equipment in thermal power plants.

引用

页码：199 / 210

页数：12

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