RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK

ZHAO LiJuan; ZHAO MingYang; LIU XuNan

doi:10.16579/j.issn.1001.9669.2017.06.021

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RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK

更新时间：2022-09-22

- RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK
- Journal of Mechanical Strength Vol. 39, Issue 6, Pages: 1379-1384(2017)
- 作者机构：
  
  1. 辽宁工程技术大学机械工程学院
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2017.06.021
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ZHAO LiJuan, ZHAO MingYang, LIU XuNan. RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK. [J]. 39(6):1379-1384(2017)
DOI：

ZHAO LiJuan, ZHAO MingYang, LIU XuNan. RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK. [J]. 39(6):1379-1384(2017) DOI： 10.16579/j.issn.1001.9669.2017.06.021.

摘要

为了提高采煤机的动态可靠性和工作效率,建立了SL1000型采煤机摇臂的刚柔耦合模型,通过动力学仿真得到了摇臂壳体应力、可靠性信息;基于BP神经网络,预测了其他工况下摇臂壳体的可靠度,分析了其与煤层坚固性系数、牵引速度及滚筒截深的关系,并优化了采煤机的牵引速度;将虚拟样机技术与BP神经网络相结合,为采煤机工作可靠性的预测提供了一种全新的理念和便捷的方法,具有重要的理论意义及较强的工程应用价值。

Abstract

In order to improve dynamic reliability and work efficiency of shearer,the rigid-flexible coupling model of SL1000 shearer was constructed,the stress and reliability information of rocker shell were obtained through dynamic simulation;Based on BP neural network,the rocker arm shell’reliability of other conditions were predicted,and the relationship between it and coal seams consistent coefficient、tract Dion speed、roller cutting depth were analyzed,and the traction speed of shearer was optimized. The combination of virtual prototyping technology and BP neural network provides a new concept and convenient method for the prediction of shearer’work reliability,and it has important theoretical significance and engineering application value.

关键词

采煤机摇臂壳体可靠性虚拟样机BP神经网络

Keywords

ShearerRocker arm shellReliabilityVirtual PrototypingBP neural network

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