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.

Afiliación

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 en En | MEDLINE | ID: mdl-29671821

Asunto(s)

Algoritmos; Reproducibilidad de los Resultados; Procesamiento de Señales Asistido por Computador; Instrumentos Quirúrgicos; Vibración

Palabras clave

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

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google