Skip to Main Content
Equipment management is relatively studied late in China, but it influences on the development of all aspects of enterprises. Therefore, the equipment management has become a problem which should be worthy studying and paid attentions for each enterprise. There are common problems, such as the low efficiency of equipment work and the short life of equipment service in the management of mining equipment. The mining equipment management evaluation method based on Back Propagation (BP) neural network is put forward. The method is feasibility, effectiveness and accuracy through the simulation training of the Matlab software and application of a large coal mine in Shanxi province.
Date of Conference: 29-31 May 2012