Abstract
A new method of incipient fault diagnosis for analog circuits based on MHMM-SVM was presented. The model of MHMM has the ability of dealing with continuous dynamic signals and is suitable to depict for the samples that are in the same kinds, the model of SVM is based on Structural Risk Minimization and is adapt in classifying the different kinds. The two models are complementary for each other, and the method made them fused. At first, the dimensions of the experimental samples were decreased and divorced easily with the LDA technology, and secondly, the MHMM-SVM model was built using the samples. Finally, from experimental results that are compared with MHMM-based and SVM-based diagnostician methods, the conclusion can be drawn that the method has certain advantages for the incipient fault diagnosis.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhu, F., Wu, W., Zhu, S., Liu, R. (2011). The Fault Diagnostic Model Based on MHMM-SVM and Its Application. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23321-0_98
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DOI: https://doi.org/10.1007/978-3-642-23321-0_98
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23320-3
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