Automatic Microprocessor-Based Performance Diagnosis of Capsule Charging/Discharging Stations of the Pneumatic Transportation System

被引：0
|
作者：
Khmara, V. V. [1 ]
Kabyshev, A. M. [1 ]
Lobotskiy, Yu. G. [1 ]
机构：
[1] Northern Caucasus Min & Met Inst, Ind Elect Dept, Vladikavkaz, Russia
来源：
2017 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM) | 2017年
关键词：
analytical control; technology testing; representative single test sample; microprocessor-based diagnosis; control system; technical diagnosis algorithm; computer-aided modelling;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
It is well known that automatic control of any process implies continuous or periodic monitoring of the process parameters. In ore dressing mills and metallurgical plants such parameters may include composition of the feedstock, fluxes, reagents, intermediate products, finished products, final tailings, and waste water. Usually this information is obtained from the automated analytical monitoring system (AAMS) in which the main component is the pneumo-transportation system of the automatic representative test sample delivery for an assay. The automatic capsule charging/discharging stations are the primary components of this system and define its general performance. The article dwells upon the up-to-date issues of the automatic microprocessor-based diagnosis of the robotic mechanisms and devices which are a part of the pneumatic sample capsule transportation for an assay with the maximum use of automatic control devices.
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页数：5
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