Data Mining in Structural Dynamic Analysis A Signal Processing Perspective /

This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precis...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Zhou, Yun Lai (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wahab, Magd Abdel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Maia, Nuno M. M. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Linya (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Figueiredo, Elói (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.
Φυσική περιγραφή:X, 169 p. 91 illus., 73 illus. in color. online resource.
ISBN:9789811505010
DOI:10.1007/978-981-15-0501-0