Author : Marcin Michalak
Affiliation : Silesian University of Technology
Country :
Poland
Category : Computer Science & Information Technology
Volume, Issue,
Month, Year
: 6, 1, November, 2016
ABSTRACT
Nowadays
we can observe the change of the structure of energy resources, which leads to
the increasing fraction of a renewable energy sources. Traditional underground
coal mining loses its significance in a total but there are countries,
including Poland, which economy is still coal based. A decreasing coal
resources imply an exploitation a becoming harder accessible coal beds what is
connected with the increase of the safety of the operation. One of the most
important technical factor of the safety of underground coal mining is the
diagnostic state of a longwall powered roof support. It consists of dozen (or
hundreds) of units working in a row. The diagnostic state of a powered roof
supports depends on the diagnostic state of all units. This paper describes the
possibility of unit diagnostic state analysis based on the biclustering
methods.
Keyword : Biclustering, Machine Monitoring, Machine
Diagnosis
For More Details : https://airccj.org/CSCP/vol6/csit64822.pdf
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