- author = "Yongquan Zhou and Dongyong Chen",
- title = "Genetic Programming with 3sigma Rule for Fault Detection",
- booktitle = "Proceedings of the Third International Conference on Intelligent Computing, ICIC 2007",
- year = "2007",
- editor = "De-Shuang Huang and Laurent Heutte and Marco Loog",
- volume = "2",
- series = "Communications in Computer and Information Science",
- pages = "543--551",
- address = "Qingdao, China",
- month = aug # " 21-24",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, electro-mechanical device, fault detection",
- isbn13 = "978-3-540-74281-4",
-
DOI = "
doi:10.1007/978-3-540-74282-1_61",
- size = "9 pages",
- abstract = "In this paper a new method is presented to solve a series of fault detection problems using 3sigma rule in Genetic Programming (GP). Fault detection can be seen as a problem of multi-class classification. GP methods used to solve problems have a great advantage in their power to represent solutions to complex problems and this advantage remains true in the domain of fault detection. Moreover, diagnosis accuracy can be improved by using 3s rule. In the end of this paper, we use this method to solve the fault detection of electro-mechanical device. The results show that the method uses GP with three sigma rule to solve fault detection of electro-mechanical device outperforms the basic GP and ANN method.",
-
notes = "Advanced Intelligent Computing Theories and
Applications. With Aspects of Contemporary Intelligent
Computing Techniques.
2) College of Computer Science and Information Engineering, Guangxi University, Nanning 530004, Guangxi, China Acknowledgment. Thanks to Mengjie Zhang",
- bibdate = "2008-09-11",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icic/icic2007-3.html#ZhouC07",
