文章基本信息

标题：On Diagnosis of Longwall Systems
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作者：Marcin Michalak ; Magdalena Lachor
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2015
卷号：5
期号：1
页码：63-70
DOI：10.5121/csit.2015.50107
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Nowadays we can observe the change of the structure of energy resources, which leads to theincreasing fraction of a renewable energy sources. Traditional underground coal mining losesits significance in a total but there are countries, including Poland, which economy is still coalbased. A decreasing coal resources imply an exploitation a becoming harder accessible coalbeds what is connected with the increase of the safety of the operation. One of the mostimportant technical factor of the safety of underground coal mining is the diagnostic state o alongwall powered roof support. It consists of dozen (or hundreds) of units working in a row. Thediagnostic state of a powered roof supports depends on the diagnostic state of all units. Thispaper describes the possibility of unit diagnostic state analysis based on the biclusteringmethods.
关键词：Biclustering; Longwall Systems; Machine Diagnosis.