Feature generation in fault diagnosis based on immune programming

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

  author =       "Maolin Li and Lin Liang and Sunan Wang and Xiaohu Li",
  title =        "Feature generation in fault diagnosis based on immune
  booktitle =    "2009 IEEE International Symposium on Computational
                 Intelligence in Robotics and Automation (CIRA)",
  year =         "2009",
  month =        "15-18 " # dec,
  pages =        "183--187",
  abstract =     "In the symptom feature discovery, genetic programming
                 has the shortage of premature convergence. So a new
                 feature generation method based on immune programming
                 is put forward. The new features are constructed by
                 polynomial expressions of the original features. And
                 then, with the immune operators such as antibody
                 representation and mutation of tree-like structure,
                 affinity function defined by classification performance
                 of every individual, the clonal selection optimal
                 algorithm is adopted to search the best feature that
                 has excellent classification performance. The
                 experiments of sound signal for gasoline engine show
                 that, due to the diversity of antibodies is maintained
                 by clonal selection principle, the best compound
                 feature founded by immune programming has better
                 classification ability than feature optimism by genetic
  keywords =     "genetic algorithms, genetic programming, affinity
                 function, antibody representation, clonal selection
                 optimal algorithm, fault diagnosis, feature generation,
                 immune programming, polynomial expressions, premature
                 convergence, symptom feature discovery, tree-like
                 structure, fault diagnosis, pattern recognition,
  DOI =          "doi:10.1109/CIRA.2009.5423210",
  notes =        "Sch. of Mech. Eng. & the Eng. Workshop, Xi'an Jiaotong
                 Univ., Xi'an, China. Also known as \cite{5423210}",

Genetic Programming entries for Maolin Li Lin Liang Sunan Wang Xiaohu Li