109 Estimation of Input Power to Structure in Machine Operation using Energy Analysis
Katsuhiko KURODA, Toru YAMAZAKI, Takashi Hashimoto
Abstract
Open-access reader
Katsuhiko KURODA, Toru YAMAZAKI, Takashi Hashimoto
Abstract
Open-access reader
This paper presents a method for identifying the input power to structure in machine operation using energy analysis model such as Statistical Energy Analysis (SEA) and Energy Distribution (ED). The basis of the method is that the vibrational energies of the respective subsystems during working can be measured using the velocimeter or accelerometer at the same measuring positions of constructing the SEA and ED model. In this paper, the method is applied to three series coupled plates. It is shown that the accuracy of the identified input power using SEA and ED model are compared by applying two approaches to FEM analysis and a experimental test. The estimated results show that the method has excellent performance to identify the input power during working.
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This paper presents a method for identifying the input power to structure in machine operation using energy analysis model such as Statistical Energy Analysis (SEA) and Energy Distribution (ED). The basis of the method is that the vibrational energies of the respective subsystems during working can be measured using the velocimeter or accelerometer at the same measuring positions of constructing the SEA and ED model. In this paper, the method is applied to three series coupled plates. It is shown that the accuracy of the identified input power using SEA and ED model are compared by applying two approaches to FEM analysis and a experimental test. The estimated results show that the method has excellent performance to identify the input power during working.
Key concepts: Statistical energy analysis, Energy (signal processing), Power (physics), Accelerometer, Basis (linear algebra), Computer science, Series (stratigraphy), Statistical analysis