Bearing Parameter Identification of Rotor-Bearing System Using Clustering-Based Evolutionary Algorithm


Autoria(s): Kim, Yong-Han; Tan, Andy; Yang, Bo-Suk
Data(s)

2007

Identificador

http://eprints.qut.edu.au/23535/

Publicador

Springer Berlin

Relação

DOI:10.1007/s00158-006-0055-5

Kim, Yong-Han, Tan, Andy, & Yang, Bo-Suk (2007) Bearing Parameter Identification of Rotor-Bearing System Using Clustering-Based Evolutionary Algorithm. Structural and Multidisciplinary Optimization, 33(6), pp. 1-14.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #080199 Artificial Intelligence and Image Processing not elsewhere classified #091399 Mechanical Engineering not elsewhere classified #Clustering-Based Hybrid Evolutionary Algorithm, Identification, Rotor-Bearing System, Bearing Parameter
Tipo

Journal Article