Fault Diagnosis of Hydraulic System Based on Improved BP Neural Network Technology

被引：0

作者：

Zhang Yinshuo ^{[1
]}

Xia Jun ^{[2
]}

Li Lei ^{[2
]}

机构：

[1] Nanjing Artillery Acad, Langfang 065000, Peoples R China

[2] Nanjing Artillery Acad, Teaching & Sci Res Off, Langfang 065000, Peoples R China

来源：

PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年

关键词：

BP algorithm; neural network; hydraulic system; fault diagnosis;

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：

A fault diagnosis model with BP network for a certain hydraulic system were described. The realization process of the fault diagnosis based on the improved BP algorithm was discussed. According to the experiment, the improved BP network has better learning ability, higher convergence rate ability and higher stability of learning and memory. The diagnosis results indicate that the presented diagnosis method has higher reliability and can attain the expected results, which can be applied to fault diagnosis of hydraulic system.

引用

页码：137 / 140

页数：4

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