Title :
Studies on a hybrid experimental statistical energy analysis method
Author :
Wu, Xianjun ; Cao, Jianhua
Author_Institution :
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Hubei, China
Abstract :
Because there are so many subsystems in traditional experimental statistical energy analysis method, the workload of measuring the parameters is very big. This paper presents a hybrid experimental statistical energy analysis method, in which some of the parameters are determined by analytical method, thus it reduces the number of the unknown measured parameters. This article described the test steps of this method and also given numerical simulation examples. Results showed that the statistical energy equation established by this method can accurately forecast structural vibration of complex system. Finally, the method to choose positions of excitation points was also discussed.
Keywords :
Educational institutions; Energy measurement; Equations; Load forecasting; Mechanical variables measurement; Neural networks; Numerical simulation; Power engineering and energy; Testing; Vibrations; Experiment; Hybrid method; Statistical energy analysis;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5535265