Research on Continuous Pipeline Life Prediction Method Based on Fully Connected Neural Network
DOI:
https://doi.org/10.54097/fcqfsz74Keywords:
Continuous oil pipeline; Life prediction; Fully connected neural network; Gated cyclic unit.Abstract
Aiming at the low accuracy of traditional empirical formulas in predicting the fatigue life of continuous oil pipelines, a fully connected neural network is utilized to predict the low-week fatigue life of continuous oil pipelines. Considering the influence of internal pressure on the fatigue life of continuous oil pipeline during operation, a prediction method combining the fully connected neural network and gated recirculation unit is proposed, and the experiment proves that the FCNN-GRU neural network performs better in terms of prediction accuracy and stability compared with the BP neural network.
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