Prediction of Muffler Flow Regeneration Noise with Neural Network

摘要：

Flow regeneration noise is a main reason effect on attenuation performance of mufflers, at present no sophisticated software or tool is found to predict effectively flow regeneration noises from mufflers. Prediction of flow regeneration noise from a muffler element of simple expansion chamber is realized using Bp neural network, and comparison of prediction with experiment is carried out. Results show that they agree well, forecasting precision is high, and that fuzzy normal establishment program work is avoided. Significant foundation is provided for researching on production mechanism of flow regeneration noise from mufflers and improving attenuation performance.

关键词： prediction flow regeneration noise muffler neural network

作者: Haijun Zhao Zhaoxiang Deng Shiju Zhao Jie Yang

作者单位: State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2168-2171

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）