Research of Shield Machine Fault Prediction System based on Improved Elman Network Algorithm

摘要：

　　As influenced by the geological complexity and many uncertain factors,tunnel construction using shield machine is still a complex and risky activity.When passing through the transition geological layer or occurring error operation of the machine,usually some construction failures may occur,such as caking,soil occlusion,water spewing and ground surface subsidence,etc.In order to effectively avoid the failure of construction,this paper proposes using the improved Elman Neural Network Algorithm and making on-line fault diagnosis prediction according to the state parameters of shield machine.Through an engineering instance data normalized simulation study,the feasibility of the system design is verified.

关键词： Shield Machine Fault Prediction Elman Network

作者: JIA Dong-qiu SHI Bu-hai

作者单位: Department of Computer Science and Engineering,Guangdong Peizheng College,Guangzhou 510830 School of Automation Science and Engineering South China University of Technology,Guangzhou 510640

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7660-7666

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）