COMPARATIVE STUDY OF CLASSICAL TECHNIQUES AND THE DYNAMIC DATA SYSTEM (DDS) APPROACH FOR MACHINE TOOL STRUCTURE IDENTIFICATION.

K. F. Eman*, S. M. Wu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)401-440
Number of pages40
JournalManufacturing Engineering Transactions
StatePublished - 1980
EventManuf Eng Trans 1980, North Am Manuf Res Conf Proc, 8th - Rolla, MO, USA
Duration: May 19 1980May 21 1980

ASJC Scopus subject areas

  • Engineering(all)

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