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Gong-kuang zidonghua
Article . 2011
Data sources: DOAJ
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Design of Intelligent Monitoring Software for Mine Ventilator

Authors: LI Chun; ZHAI Nai-jiang; YU Zhi-chao;

Design of Intelligent Monitoring Software for Mine Ventilator

Abstract

A design scheme of intelligent monitoring software for mine ventilator was proposed, and the serial communication module, data management module and intelligent diagnosis module were introduced in details. The software realizes functions of monitoring of running status and fault diagnosing for ventilator by using MSComm control to achieve serial communication and BP neural network to establish an intelligent diagnosis model, and provides a practical method with high accuracy and fast diagnosis for operators to master ventilator running status.

Keywords

Mining engineering. Metallurgy, mine ventilator, intelligent monitoring, fault diagnosis, data management, back-propagation neural network, TN1-997

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold