An Application of Artificial Neural Networks in Crane Operation Status Monitoring

摘要：

　　Crane as large mechanical equipment,plays an irreplaceable role in industrial production.Crane fault diagnosis technology,which improves safety and reliability of crane operation,becomes extremely important.The BP neural network has been utilized to study crane state monitoring and fault diagnosis.A BP neural network model was established to monitor tower crane running status online,and simulation experiments were made on the stability of the model.Results show that the BP neural network model can accurately monitor tower crane running status,give effectively fault prediction,and improve security and reliability of tower crane operation.

关键词： BP neural network Status monitoring Crane Fault diagnosis

作者: Jan-Li Yu Rui-Fang Zhou Man-Xiang Miao Hong-Qi Huang

作者单位: School of Management Science and Engineering Zhengzhou Institute of Aeronautical Industry Management School of Science,Zhongyuan University of Technology,Zhengzhou 450007,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 223-231

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）