Abstract
This paper introduces the application of Relevance Vector Machine (RVM) in fault diagnosis. First, the theoretical contents of RVM including the algorithm characteristics, the derivation of mathematical models, the characteristics of kernel functions and multimode classification are introduced. Then, the multi-classification fault diagnosis model of building electrical system is established by using RVM. Finally, the experimental results show that the RVM model has good classification effect on small sample data.
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Acknowledgements
The project was partially supported by “The Fundamental Research Funds for Beijing University of Civil Engineering and Architecture”, Beijing, China with the grant No. X18191.
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Wang, Y., Yun, A., Ye, Q., Zhao, Y. (2019). The Fault Diagnosis Model Established Based on RVM. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_43
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DOI: https://doi.org/10.1007/978-981-13-6733-5_43
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