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基于神经网络的综采工作面人-机-环境系统的可靠性研究

The study on reliability of man machine environmentsystem of fully mechanized face based on neural network

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【作者】 朱川曲

【Author】 ZHU Chuan qu(Institute of Mining and Safety,Xiangtan Polytechnic University,Xiangtan 411201,China)

【机构】 湘潭工学院采矿与安全工程研究所!湖南湘潭411201

【摘要】 在综采工作面系统结构分析的基础上 ,综合应用神经网络和系统可靠性理论 ,研究了综采工作面人 -机 -环境系统可靠性 ,着重探讨了人和环境系统可靠性分析及预测方法 .理论分析和实例计算结果表明 ,改善综采工作面系统的可靠性不仅在于提高综采设备的可靠性 ,而且更重要的是通过改善作业环境 ,提高人员素质和管理水平来提高人的作业可靠性

【Abstract】 On the basis of analysis of the structure of the fully mechanized face system, the reliability of the man machine environment system of the fully mechanized face with the application of neural network and systematic reliability theory is studied, and the analysis and prediction methods of the reliability of man environment system are put emphasis on. The theory analysis and calculating results of the example indicate that it is more important that the men reliability is increased with the improvement of the working environment, workers quality and their management level, not only in increasing the reliability of the fully mechanized equipments as the respect of the promotion of the reliability of the full mechanized face system.

  • 【文献出处】 煤炭学报 ,JOURNAL OF CHINA COAL SOCIETY , 编辑部邮箱 ,2000年03期
  • 【分类号】TD82
  • 【被引频次】33
  • 【下载频次】276
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