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Research on the Failure Detection for DC/DC Converter Based on HMM |
Zhang Yixiang,Yang Tiebao |
Southwest Jiaotong University |
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Abstract Hidden Markov model (HMM), which is initially employed in the field of speech signal processing, is introduced into
DC/DC converter failure detection. HMM is depicted briefly, and a new method to detect convert failure based on HMM is presented.
First, this paper analyzes the failure mechanism of DC/DC convert, selects the output ripple voltage and inductor current and output
power as characteristic vectors. Then, it models for every state utilizing HMM. Extensive experiments have been conducted on a
typical boost circuit model. The calculation result shows that this method is able to detect failure correctly
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Published: 08 November 2017
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