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Huiling Li

Work place: College of Electric Power Inner Mongolia University of Technology, Hohhot, China

E-mail: 499578001@qq.com

Website:

Research Interests: Computational Science and Engineering, Process Control System, Control Theory

Biography

Huiling Li is born in china in July 1985.She is studying in  Inner Mongolia University of Technology and her major is  control theory and control engineering. She graduated from  Xi'an Institute of Post and Telecommunications in 2004.  Representative papers are artificial neural network classifier  design using genetic algorithm and wavelet transform in fault  diagnosis, a fault diagnosis method basing on genetic algorithm  and neural network. 

Author Articles
Comparison of Two Methods Basing on Artificial Neural Network and SVM in Fault Diagnosis

By Chunming Li Huiling Li

DOI: https://doi.org/10.5815/ijieeb.2010.01.04, Pub. Date: 8 Nov. 2010

Two diagnosis methods based on a neural network classifier and SVM are proposed for a pulse width modulation voltage source inverter. They are used to detect and identify the transistor open-circuit fault. BP neural network (BPNN) is capable of recognition. However, it has shortcomings obviously. These are just advantages of SVM, which has ability of global search. As an alternative to ANN, SVM can offer higher detection efficiency and reliability.

[...] Read more.
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