The application of multi-sensors fusion in vehicle transmission system fault diagnosis

被引：0

作者：

Wu, Xiaobing ^{[1
]}

Liu, Shuangzhe ^{[2
]}

Sharma, Dharmendra ^{[2
]}

机构：

[1] Beijing Inst Technol, Beijing 100081, Peoples R China

[2] Univ Canberra, Canberra, ACT 2601, Australia

来源：

ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS | 2007年

关键词：

information fusion; artificial neural network; hybrid structure; fault diagnosis; vehicle transmission system;

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：

Multi-sensors fusion technology is adopted for fault diagnosis of vehicle transmission system. By using hybrid pattern fusion based on artificial neural networks (ANN), the robustness of the diagnosing system is improved greatly. This hybrid fusion pattern avoids working with a great deal of original data from sensors, while it has the advantage of less information lost. At the same time, the diagnosis effect is improved by using feature-level and decision-level vibration data and original-level lube data.

引用

页码：728 / +

页数：2