Abstract
In this paper a new method is presented to solve a series of fault detection problems using 3σ 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 3σ 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 3σ rule to solve fault detection of electro-mechanical device outperforms the basic GP and ANN method.
This work was supported by Grants 60461001 from NSF of China and the Project Supported by Grants 0542048 from Guangxi Science Foundation.
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Zhou, Y., Chen, D. (2007). Genetic Programming with 3σ Rule for Fault Detection. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_61
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DOI: https://doi.org/10.1007/978-3-540-74282-1_61
Publisher Name: Springer, Berlin, Heidelberg
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