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The Intelligent Analysis Method of Mine Equipment Lubrication and Wear Condition
Abstract:
Aimed at the actuality of the Mine-Concentrator, Dexing Copper-mine, the paper comprehensively apply such technology as the statistics analysis, the forecasting theory, the pattern recognition, the neutral networks and the expert system etc, to study the intelligent method of wear condition and lubrication condition. An improved BP algorithm was presented, based on this an automate wear condition recognition model and its system was designed. The example shows that this system can promote the accuracy of wear condition recognition and improve the generalization capability. After all the problems were solved properly, wear and lubrication condition of the equipment were guaranteed as well. Therefore, the monitored equipment was running very well that year.
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553-556
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Online since:
June 2012
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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