Improved Bayesian network-based for fault diagnosis of air conditioner system

نویسندگان

چکیده

To solve the problem of fault prediction and diagnosis household air conditioning, an improved Bayesian network (BN) model is proposed. Firstly, orthogonal defect classification (ODC) used to make statistics analysis conditioning data, structure BN built based on results. Then, genetic algorithm (GA) optimize conditional probability nodes determine parameters. Finally, cooling heating failure data were taken as example diagnose. Compared with traditional model, accuracy increases from 81.13% 92.83%, which verifies effectiveness model.

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ژورنال

عنوان ژورنال: International Journal of Metrology and Quality Engineering

سال: 2023

ISSN: ['2107-6839', '2107-6847']

DOI: https://doi.org/10.1051/ijmqe/2023009