Add to ORKGAbstract: 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 vib...
Inverse source identification based on acoustic measurements is essential for the investigation and ...
A time-domain based method for distributed dynamic load identification is proposed in this study con...
A new method for reducing ill-conditioning in a class of identification problems is proposed. The ke...
Because frequency load identification method will confront with the ill-posed problem of finding the...
In the research of dynamic load identification, the method of obtaining kernel function matrix is us...
Most of random dynamic loading identification research studies are about the original inverse pseudo...
In order to solve the problems of large number of conditions at inherent frequencies and low predict...
By aiming at the common distributed random dynamic loads in engineering practice, an equivalent iden...
According to the regularization method in the inverse problem of load identification, a new method f...
Load identification is a very important and challenging indirect load measurement method because loa...
An improved load identification technology of a beam based on different regularization methods and m...
A new generalized Multiple-Input/Multiple-Output (MIMO) modeling procedure is developed for applicat...
Structural system identification is the process of deducing the properties of a structural system fr...
In the last years, acoustic source identification has gained special attention, mainly due to new en...
A new formulation of transfer function matrix identification in frequency domain is introduced. It r...
Inverse source identification based on acoustic measurements is essential for the investigation and ...
A time-domain based method for distributed dynamic load identification is proposed in this study con...
A new method for reducing ill-conditioning in a class of identification problems is proposed. The ke...
Because frequency load identification method will confront with the ill-posed problem of finding the...
In the research of dynamic load identification, the method of obtaining kernel function matrix is us...
Most of random dynamic loading identification research studies are about the original inverse pseudo...
In order to solve the problems of large number of conditions at inherent frequencies and low predict...
By aiming at the common distributed random dynamic loads in engineering practice, an equivalent iden...
According to the regularization method in the inverse problem of load identification, a new method f...
Load identification is a very important and challenging indirect load measurement method because loa...
An improved load identification technology of a beam based on different regularization methods and m...
A new generalized Multiple-Input/Multiple-Output (MIMO) modeling procedure is developed for applicat...
Structural system identification is the process of deducing the properties of a structural system fr...
In the last years, acoustic source identification has gained special attention, mainly due to new en...
A new formulation of transfer function matrix identification in frequency domain is introduced. It r...
Inverse source identification based on acoustic measurements is essential for the investigation and ...
A time-domain based method for distributed dynamic load identification is proposed in this study con...
A new method for reducing ill-conditioning in a class of identification problems is proposed. The ke...