On-line fault diagnosis and prediction of hoist braking system

被引：0

作者：

Wang, ZY ^{[1
]}

Fang, Q ^{[1
]}

Sa, ZY ^{[1
]}

机构：

[1] Jiangxi Univ, Nanchang 330013, Peoples R China

来源：

ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 8 | 2005年

关键词：

hoist braking system; fault diagnosis; wavelet package; information fusion; fault prediction;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on the analysis of mechanism of hoist braking invalidation, an on-line fault and prediction approach of hoist braking system is presented. In this on-line system, information acquisition and output are illustrated. As to typical fault, blockage piston in vessel, an entire 3-step diagnosis procedure is addressed, which takes advantage of multiple evidences more effectively and then obtains more accurate diagnosis results. Finally, a proper fault prediction model is settled using wavelet neural network, and a corresponding prediction result is then provided.

引用

页码：210 / 215

页数：6

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