Clonal selection programming for rotational machine fault classification and diagnosis

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  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
  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
  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