Weak Defect Identification for Centrifugal Compressor Blade Crack Based on Pressure Sensors and Genetic Algorithm.

Li, Hongkun; He, Changbo; Malekian, Reza; Li, Zhixiong

Li, Hongkun; He, Changbo; Malekian, Reza; Li, Zhixiong.

Afiliação

Li H; School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China. lihk@dlut.edu.cn.
He C; School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China. strange@mail.dlut.edu.cn.
Malekian R; Laboratoire Vibrations Acoustique, University of Lyon, INSA-Lyon, LVA EA677, Villeurbanne F-69621, France. strange@mail.dlut.edu.cn.
Li Z; Department of Electrical, Electronic & Computer Engineering, University of Pretoria, Pretoria 0002, South Africa. reza.malekian@ieee.org.

Sensors (Basel) ; 18(4)2018 Apr 19.

Article em En | MEDLINE | ID: mdl-29671821

Assuntos

Algoritmos; Reprodutibilidade dos Testes; Processamento de Sinais Assistido por Computador; Instrumentos Cirúrgicos; Vibração

Palavras-chave

centrifugal compressor; continuous wavelet transform; defect identification; genetic algorithm; pressure sensor; stochastic resonance; woods-saxon and Gaussian

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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