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Hoisting Equipment of Coal Mine Condition Monitoring and Early Warning Based on BP Neural Network

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Hoisting Equipment is one of the most important coal production equipments, which use Statistical Methods to implement the traditional coal mine equipment safety mnitoring. In allusion to this way's limitation in practical apllication, based on the nonlinear relationship among the hoisting equipment's arguments, this text adopt the BP neural network model to make safety monitoring on the hoisting equipment, and get simulation results through MATLAB. The simulation results turned out that, the algorithm convergence has fast speed and get the test results quickly and correctly, which bring about the value of the hoisting system dangerlevel, as well as have certain instructive significant about improving the coal mine hoisting system's safety.
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Document Type: Research Article

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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