NEURAL-NETWORK-BASED FAULT-DIAGNOSIS OF HYDRAULIC FORGING PRESSES IN CHINA

被引：9

作者：

LIN, H ^{[1
]}

YIH, Y ^{[1
]}

SALVENDY, G ^{[1
]}

机构：

[1] TSING HUA UNIV,DEPT MECH ENGN,BEIJING 100084,PEOPLES R CHINA

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1995年 / 33卷 / 07期

关键词：

D O I：

10.1080/00207549508904791

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper describes the utilization of neural networks for fault diagnosis of hydraulic forging presses which may have an impact on the effective utilization of the over 2000 presses in use in China. The technical descriptions of the presses and the 47 major possible faults are presented. For diagnosing these faults the neural network with 30 000 iteration training was utilized and it provided a 99% accuracy in identifying causes of the failures of hydraulic forging presses.

引用

页码：1939 / 1951

页数：13

共 4 条

[1]

Vlnkatasubramanian V., Chan K., A neural network methodology for process faulty diagnosis, American Institute of Chemical Engineers Journal, 35, 12, pp. 1993-2002, (1989)

[2]

Knapp G.M., Wang H., Machine faulty classification: A neural network approach, International Journal of Production Research, 30, 4, pp. 811-823, (1992)

[3]

Watanabe K., Matsuura I., Abe M., Kubota M., Himmtlblau D.M., Incipient fault diagnosis of chemical process via artificial neural networks, American Institute of Chemical Engineer Journal, 35, 11, pp. 1803-1812, (1989)

[4]

Ye N., Ziiao B., Salvendy G., Neural-nclworks-aided fault diagnosis in supervisory control of advanced manufacturing systems, International Journal of Advanced Manufacturing and Technologies, 8, pp. 200-209, (1993)

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