The Short-term Life Prediction Model of Gearbox based on Chaotic Neural Network

摘要：

Since faults of gearbox occurred randomly during the normal status, chaos theory was chosen to analyze the nonlinear characteristics of vibration acceleration signals for gearbox. The short-term prediction model of chaotic neural network for gearbox life was proposed based on chaotic time series. In the model, the chaotic time series phase space was reconstructed as the input vectors of neural network, and the predictable step of gearbox was set as the output vectors of neural network, then the short-term life of gearbox was obtained. The results of the simulation on the vibration acceleration signals of the test-gearbox showed that the model is more effective and accurate compared with the traditional neural network prediction methods.

作者: Xiao-hui CHEN Li-ming CUI Jun-xing LI

作者单位: The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 1181-1184

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）