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Open-circuit fault detection for three-phase inverter based on backpropagation neural network

  • S.I. : Emergence in Human-like Intelligence towards Cyber-Physical Systems
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Abstract

To realize real-time fault detection in power devices and enhance reliability of inverter circuits, this paper proposes a detection method based on Park’s transform algorithm and neural network. Park’s transform is applied to obtain the three-phase current base wave amplitude as the characteristic variable for fault detection. Faulty switch devices can be located using a backpropagation neural network in combination with simple logic analyses. The simulation results verify the effectiveness and the feasibility of the proposed method.

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Acknowledgements

The work is supported by Natural Science Foundation of Jiangsu Province (No. BK20170841).

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Authors and Affiliations

  1. School of Automation, Nanjing University of Science and Technology, Nanjing, China

    Zhendong Ji

  2. State Grid Jiangsu Economic Research Institute, Nanjing, China

    Wei Liu

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  1. Zhendong Ji
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  2. Wei Liu
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Correspondence to Zhendong Ji.

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Ji, Z., Liu, W. Open-circuit fault detection for three-phase inverter based on backpropagation neural network. Neural Comput & Applic 31, 4665–4674 (2019). https://doi.org/10.1007/s00521-018-3663-2

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  • DOI: https://doi.org/10.1007/s00521-018-3663-2

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