Self-Organizing Map-Based Fault Dictionary Application Research on Rolling Bearing Faults

被引：0

作者：

Pi, Jun ^{[1
]}

Lin, Jiaquan ^{[1
]}

Li, Xiangjiang ^{[2
]}

机构：

[1] Civil Aviat Univ China, Aeronaut Mech Coll, Tianjin 300300, Peoples R China

[2] Changsha Sci & Technol Univ, Sch Comp & Commun Engn, Changsha 410076, Hunan, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.107

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Vibration signal resulting from rolling bearing defects presents a rich content of physical information the appropriate analysis methods of which can lead to the clear identification of the nature of the fault. A novel procedure is presented for construction offault diagnosis dictionary through Self-organization Map(SOM). The experiments show that the bearing faults diagnosis dictionary could be effectively applied in the vibration pattern recognition for a roller bearing system.

引用

页码：311 / +

页数：3

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