Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Chen:2005:MSSP,
  author =       "Peng Chen and Masatoshi Taniguchi and 
                 Toshio Toyota and Zhengja He",
  title =        "Fault diagnosis method for machinery in unsteady
                 operating condition by instantaneous power spectrum and
                 genetic programming",
  journal =      "Mechanical Systems and Signal Processing",
  year =         "2005",
  volume =       "19",
  pages =        "175--194",
  number =       "1",
  abstract =     "This paper proposes a fault diagnosis method for plant
                 machinery in an unsteady operating condition using
                 instantaneous power spectrum (IPS) and genetic
                 programming (GP). IPS is used to extract feature
                 frequencies of each machine state from measured
                 vibration signals for distinguishing faults by relative
                 crossing information. Excellent symptom parameters for
                 detecting faults are automatically generated by the GP.
                 The excellent symptom parameters generated by GP can
                 sensitively reflect the characteristics of signals for
                 precise diagnosis. The method proposed is verified by
                 applying it to the fault diagnosis of a rolling
                 bearing.",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6WN1-4BKPSGD-2/2/6c68916b11c23706a7fee9f780c0e637",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1016/j.ymssp.2003.11.004",
}

Genetic Programming entries for Peng Chen Masatoshi Taniguchi Toshio Toyota Zhengja He

Citations