Fault diagnosis of a class of AFC mining equipment

被引：0

作者：

Sun, XZ ^{[1
]}

Zhu, QM ^{[1
]}

Penny, JET ^{[1
]}

Garvey, SD ^{[1
]}

机构：

[1] Aston Univ, Sch Engn, Birmingham B4 7ET, W Midlands, England

来源：

DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES | 1999年 / 167-1卷

关键词：

fault diagnosis; Kalman filter;

D O I：

10.4028/www.scientific.net/KEM.167-168.291

中图分类号：

TQ174 [陶瓷工业]; TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

A procedure to diagnose the faults in mining equipment used in long wall coal mining is proposed. The procedure is based on creating a system model and comparing outputs from the system model with outputs from the operational system. A fault in the operational system is detected as a residual error between the operational system and the model, The comparisons are made using a suboptimal fading extended Kalman filter combined with a modified Bayes estimation algorithm. A simulated case study is used to demonstrate the efficiency of the procedure. The simulation comprises a dynamic model of a shunt DC motor driven system and the corresponding fault state observer is used to monitor the operating conditions on line.

引用

页码：291 / 300

页数：10

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