Fault detection using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Liang Zhang and Lindsay B. Jack and Asoke K. Nandi",
  title =        "Fault detection using genetic programming",
  journal =      "Mechanical Systems and Signal Processing",
  year =         "2005",
  volume =       "19",
  pages =        "271--289",
  number =       "2",
  abstract =     "Genetic programming (GP) is a stochastic process for
                 automatically generating computer programs. GP has been
                 applied to a variety of problems which are too wide to
                 reasonably enumerate. As far as the authors are aware,
                 it has rarely been used in condition monitoring (CM).
                 GP is used to detect faults in rotating machinery.
                 Featuresets from two different machines are used to
                 examine the performance of two-class normal/fault
                 recognition. The results are compared with a few other
                 methods for fault detection: Artificial neural networks
                 (ANNs) have been used in this field for many years,
                 while support vector machines (SVMs) also offer
                 successful solutions. For ANNs and SVMs, genetic
                 algorithms have been used to do feature selection,
                 which is an inherent function of GP. In all cases, the
                 GP demonstrates performance which equals or betters
                 that of the previous best performing approaches on
                 these data sets. The training times are also found to
                 be considerably shorter than the other approaches,
                 whilst the generated classification rules are easy to
                 understand and independently validate.",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6WN1-4CJVC9S-1/2/16e55d1f86d4a8227c9e01e7b37e449d",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, Feature
                 selection, Condition monitoring, Fault detection,
                 Roller bearing",
  DOI =          "doi:10.1016/j.ymssp.2004.03.002",

Genetic Programming entries for Liang Zhang Lindsay B Jack Asoke K Nandi