TY - JOUR
T1 - COMPARATIVE STUDY OF CLASSICAL TECHNIQUES AND THE DYNAMIC DATA SYSTEM (DDS) APPROACH FOR MACHINE TOOL STRUCTURE IDENTIFICATION.
AU - Eman, K. F.
AU - Wu, S. M.
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 1980
Y1 - 1980
N2 - Stochastic autoregressive moving average (ARMA) models, representing a large class of dynamic systems, have been implemented to obtain a parametric representation of system behavior. A comparison has been made between results obtained by single harmonic excitation and random noise excitation. The concept of modal decomposition has been introduced. The DDS methodology is capable of accurately identifying the structural systems.
AB - Stochastic autoregressive moving average (ARMA) models, representing a large class of dynamic systems, have been implemented to obtain a parametric representation of system behavior. A comparison has been made between results obtained by single harmonic excitation and random noise excitation. The concept of modal decomposition has been introduced. The DDS methodology is capable of accurately identifying the structural systems.
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M3 - Conference article
AN - SCOPUS:0019227757
SN - 0363-700X
SP - 401
EP - 440
JO - Manufacturing Engineering Transactions
JF - Manufacturing Engineering Transactions
T2 - Manuf Eng Trans 1980, North Am Manuf Res Conf Proc, 8th
Y2 - 19 May 1980 through 21 May 1980
ER -