Clonal selection programming for rotational machine fault classification and diagnosis

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Tang:2011:PHM,

• author = "Peng Tang and Zhaohui Gan and Tommy W. S. Chow",
• title = "Clonal selection programming for rotational machine fault classification and diagnosis",
• booktitle = "Prognostics and System Health Management Conference (PHM-Shenzhen), 2011",
• year = "2011",
• month = "24-25 " # may,
• address = "Shenzhen",
• size = "6 pages",
• abstract = "The automatic control of technical systems requires increasingly advanced fault diagnosis to improve system reliability and safety. In this paper, a clonal selection programming (CSP)-based fault detection method is introduced. The CSP is inspired by genetic programming (GP) and immune programming (IP). The proposed method has been verified with electrical faults and mechanical faults operating at different rotating speeds. Machine vibration signals are translated into four feature vectors and encoded according to the structure of antibody. Then the extracted features are processed of a CSP-based classifier. Clone classifier uses a powerful search strategy that can get a near-optimal solution in a large search space. The experimental result indicates that the CSP based method can improve the performance significantly and very robust, which indicates that the method is extremely useful for practical industrial applications.",
• keywords = "genetic algorithms, genetic programming, clonal selection programming, electrical faults, fault detection method, fault diagnosis, immune programming, machine vibration signals, mechanical faults, rotational machine fault classification, electrical faults, failure analysis, fault diagnosis, machine testing",
• DOI = "doi:10.1109/PHM.2011.5939551",
• notes = "Also known as \cite{5939551}",

}

Genetic Programming entries for Peng Tang Zhaohui Gan Tommy Wai-Shing Chow

Citations