Load Identification of Acoustic and Vibration Multi-source Following Linear Regression and Least-Squares of Generalized Matrix Inverse Method in Frequency Domain
نویسندگان
چکیده
Because frequency load identification method will confront with the ill-posed problem of finding the inverse of coefficient matrix and it can only identify one load source, a new uncorrelated multi-source load identification algorithm based on linear regression and least-squares of generalized matrix inverse is proposed. According to response signals of multi-spot, this new algorithm can identify uncorrelated multi-source loads in frequency domain at the same time. Based on the assumptions of linear stochastic system and uncorrelated loads, the new algorithm combines transfer function of liner system, least-squares of generalized matrix inverse and linear regression model. Multi-source load identification experiment results on vibration and acoustic multisource data set in cylindrical shell validate that this algorithm could basically meet the dynamic random load precision requirement of 3 db at last. Copyright © 2014 IFSA Publishing, S. L.
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