ON DIAGNOSIS OF LONGWALL SYSTEMS

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 o 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