Scientific Publications

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Abstract

This paper presents a model for predicting the risk of failure of gas turbine control and
protection system. Using a traditional analysis method and an artificial intelligence method, we
combined Fault Tree Analysis (FTA) with a Bayesian Network (BN) to obtain accurate results for
system failures. While the Fault Tree Analysis allows us to know the causes that lead to the system
failure, by listing the information available in the fault tree in addition to the data previously stored by the experts, the Bayesian Network method allows us to quantify the impact of each cause on the gas turbine control and protection system, to take corrective actions to prevent them from happening in the future.


BibTex

@inproceedings{uniusa4057,
    title={Analysis and Diagnosis of Control and Protection System of Gas Turbine Using the Fault Tree and Bayesian Network},
    author={Toufik TOUIL and Abdelaziz LAKEHAL},
    year={2023},
    booktitle={Fourth International Conference on Technological Advances in Electrical Engineering (ICTAEE’23.)}
}