Research on Fault Diagnosis of Forklift's Hydraulic System Based on Rough Set Theory

被引：1
|
作者：
Su Xin-ping [1 ]
Nie Guang-kun [2 ]
Fan Wei-xin [3 ]
机构：
[1] Tianjin Traff Inst, Dept Handling Facil, Tianjin 300161, Peoples R China
[2] Tianjin Traff Inst, Postgrad Training Brigade, Tianjin 300161, Peoples R China
[3] Tianjin Traff Inst, Dept Equipment Supports, Tianjin 300161, Peoples R China
来源：
NATURAL RESOURCES AND SUSTAINABLE DEVELOPMENT II, PTS 1-4 | 2012年 / 524-527卷
关键词：
rough set theory; forklift hydraulic system; fault diagnosis; attribute reduction;
D O I：
10.4028/www.scientific.net/AMR.524-527.819
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
An approach of forklift's fault diagnostic knowledge acquisition and discrete date based on rough set theory was put forward, according to the rough set theory in fault diagnosis of fault tolerance, the use of rough set theory in fault knowledge attribute reduction and value reduction, as in incomplete fault information of forklift hydraulic system fault diagnosis provides a train of thought. The inferential strategy and process of fault diagnosis of hydraulic system for forklift were described. Examples show that the proposed approach is very effective.
引用
收藏
页码：819 / +
页数：2
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