Multivariant linear regression model based response prediction in situation of unknown uncorrelated multiple sources load

摘要：

　　In order to predict response in the situation of unknown uncorrelated multiple sources load, a new response prediction method in frequency domain is proposed.The algorithm needs no transfer function and straightforwardly looking for the inner link between the known responses and the unknown responses.In the multivariant linear regression model, the vibration data of known measuring points are used as input and the vibration data of the unknown measuring points are used as output.And the parameters of multivariant linear regression model are solved by historical training data and the least squares generalized inverse.Experiment verification results of acoustic and vibration sources on cylindrical shell showed that the proposed approach could predict vibration response effectively and satisfy industrial requirements.

关键词： response prediction in frequency domain unknown uncorrelated multiple sources multivariant linear regression model least squares generalized inverse

作者: Wei Zhan Cheng Wang

作者单位: College of Computer Science and Technology, HuaQiao University, Xiamen, China

会议类型: 国际会议

会议名称: The 28th International Conference on Vibroengineering (第28届国际振动工程会议)

会议地点: 北京

会议语种:英文

页码: 271-277

在线出版日期: 2017-10-19（万方平台首次上网日期，不代表论文的发表时间）