Complex Fault Diagnosis Based on Immune Principle

Jian Cen; Xu Hong Zhang; Dan Xiang; Xu Lu

doi:10.4028/www.scientific.net/AMM.433-435.744

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Complex Fault Diagnosis Based on Immune Principle

Complex Fault Diagnosis Based on Immune Principle

Abstract:

To improve the accuracy of fault diagnosis, this paper reply to biological immune theory, candidate detectors have been created in non-self-space, according to biological mutation mechanism and the clone selection theory, to mature candidate detector and to reduce training time. Fault samples have classified in non-self-space, in order to reduce unclear boundaries of fault samples. The use of adaptive threshold are adapted to in the diagnosis process, to reduce the diagnosis of black holes arising, the error rate and missed rate reduce, therefore the accuracy of fault diagnosis improve. Fault test and simulation results show that the effectiveness of the method.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

744-749

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.744

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Online since:

October 2013

Authors:

Jian Cen*, Xu Hong Zhang, Dan Xiang, Xu Lu

Keywords:

Fault Diagnosis, Immune Detector, Immune Principle, Matching Rule

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* - Corresponding Author

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