Heat pump fault diagnosis based on genetic BP neural network

Chunxiang Huang, Hao Zheng, Yingxing Wang, Lili Wang


The paper analyzes a method for fault diagnosis proposed for the heat pump DKFXRS-17II. In order to enhance the detection of heat pump’s soft faults and determine the location of the soft faults, and fix them without delay, it establishes the technique of fault diagnosis based on Genetic Algorithm and Back-Propagation neural network. The MATLAB simulation verifies the feasibility of the algorithm and can be applied to the monitoring system of heat pump.

Ключові слова

genetic algorithm; back-propagation network; fault diagnosis

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DOI: https://doi.org/10.15589/SMI20170209