Extracting and Optimizing Sound Features in Mechanical Fault Diagnosis Using Genetic Programming

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@Article{FengWang:2002:ZRB,
  author =       "Feng Wang and Liangsheng Qu",
  title =        "Extracting and Optimizing Sound Features in Mechanical
                 Fault Diagnosis Using Genetic Programming",
  journal =      "Journal of Xi'an Jiaotong University",
  year =         "2002",
  volume =       "36",
  number =       "12",
  pages =        "1307--1310",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, fault
                 diagnosis, information fusion, pattern recognition",
  broken =       "http://direct.bl.uk/bld/PlaceOrder.do?UIN=123943703&ETOC=RN",
  broken =       "http://www.wanfangdata.com.cn/qikan/periodical.Articles/xajtdxxb/xajt2002/0212pdf/021224.pdf?login
                 needed?",
  broken =       "http://unit.xjtu.edu.cn/unit/xb/zrb/02/0212/xbe21224.html",
  URL =          "http://en.cnki.com.cn/Article_en/CJFDTotal-XAJT200212024.htm",
  abstract =     "A fault detection method is introduced, which uses
                 compound features optimised by genetic programming
                 based on single features. Some single features can be
                 combined to form a compound feature. A compound feature
                 obtained from sound signals is used to diagnose faults
                 of rolling bearings, and its effectiveness is verified
                 in practice. Based on the method, a new method is
                 presented, which is improved by the information fusion
                 technique. The features from sound signals and
                 vibration signals are combined, and a new compound
                 feature can be obtained by genetic programming. This
                 feature can be used to detect faults of rolling
                 bearings with higher efficiency and reliability.",
  notes =        "Broken Dec 2012
                 http://unit.xjtu.edu.cn/unit/xb/zrb/

                 School of Mechanical Engineering,Xi'an Jiaotong
                 University,Xi'an 710049,China",
}

Genetic Programming entries for Feng Wang Liangsheng Qu

Citations