Paper Title:
The Safety Monitoring of Colliery Equipments Based on Data Mining Technology
  Abstract

Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data. The reliability of colliery equipments takes an essential role in the safety of production. Not only since their continuance of operation, had the accumulation of historical error data of colliery equipments resulted in a mass of surplus data, but also because their lacks of helpful information, which as a result makes colliery managers as well as equipment operators hard to make decisions. Seeing that, we introduced ways here that makes use of data mining technology by processing and analyzing historical monitoring data, recognizing and extracting meaningful patterns so as to provide scientific information for decision-making on the safety of colliery operations, which would help for the forecasting of potential threatens of colliery equipments’ operation, thus, make great contributions to prevent disasters from happening.

  Info
Periodical
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
731-734
DOI
10.4028/www.scientific.net/AMM.128-129.731
Citation
S. F. Zhao, L. C. Chen, "The Safety Monitoring of Colliery Equipments Based on Data Mining Technology", Applied Mechanics and Materials, Vols. 128-129, pp. 731-734, 2012
Online since
October 2011
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Price
$32.00
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