| In recent years,the coupling problem found from large scale machinery has attracted increasing attention,and the research about the coupling vibration of large machinery has become more deeply and extensive.At present,most of the researches on this kind of coupled vibration problems proceeded in focusing on the system’s internal structure to explore.Through solving the vibration differential equation concealing in the structure to characterize the coupling.For the study of the coupling characteristics of large mechanical vibration.It is indispensable to make the components of the excitation force and the orientation of the coupling vibration clear.Therefore the location of the excitation source root in the coupled vibration is able to be identified.Hence it is fully important to dedicate in the coupled vibration of large mechanical systems.In this paper,the background of the load identification including the magnitude and direction of the load and the research progress in recent years are briefly introduced.The load identification method under frequency domain and the method of minimum discrimination coefficient in location identification is discussed in detail The accuracy and feasibility of the method are verified by simulation and experiment.In order to solve the problem that the complex structure can not be characterized by analytic method,the software LMS Virtual.Lab is proposed.Based on the minimum discriminant coefficient method and the LMS Virtual.Lab to locate the external loads of complex structures.At the same time,simple beam and elastic plate are studied,and the coupling relationship between different directions of load and response is verified from the theoretical derivation.The method to identify the certain direction load by the vibration response of different directions is proposed.And it is verified by the experiment.Finally,two under the theories above,a method is summarized and concluded to identify the location of a load using the three-direction response of a single point.And the effectiveness of the identification method is verified by simulation and experiment. |