计算机技术与发展2024，Vol.34Issue(5)：80-86,7.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0044
基于集成算法的腐蚀管道失效压力预测研究
Research on Failure Pressure Prediction of Corroded Pipeline Based on Integrated Algorithm
摘要
Abstract
To improve the prediction accuracy of the residual strength of corroded pipelines and solve the problem that the relevant single prediction model is susceptible to the quality of training data and its operation and prediction output are unstable,two integrated model methods are introduced.Firstly,for the serial structure integration method,the AdaBoost-IChOA-SVR model is established based on the support vector regression(SVR)and sine cosine strategy improved chimpanzee optimization algorithm(IChOA).Secondly,for the two-layer parallel structure method,the prediction algorithm with low correlation and good learning effect is selected as the first layer base predictor according to the prediction problem,and the new data set formation method and related parameter settings are adjusted to establish the Stacking stacked ensemble model.Taking the failure pressure blasting data of corrosion defect pipeline as an example,the simulation is carried out by MATLAB,and the prediction results and evaluation indexes of the basic SVR and PSO-ELM models are compared and analyzed.The results show that the integrated prediction model has better prediction output performance,and the AdaBoost integrated learning model with serial structure has simpler construction process,higher running speed and accuracy.The model has a fitting degree of 0.996 and a mean relative error of 3.69%for the failure pressure prediction of corroded pipeline,which can provide ref-erence for the subsequent establishment of related prediction models and protection and maintenance strategies for corroded pipelines.关键词
安全工程科学技术/集成模型/腐蚀管道失效压力/AdaBoost集成学习/Stacking/黑猩猩优化算法Key words
safety engineering science and technology/integrated model/corrosion pipeline failure pressure/AdaBoost ensemble learning/Stacking/chimpanzee optimization algorithm分类
信息技术与安全科学引用本文复制引用
骆正山,张佳琦,骆济豪..基于集成算法的腐蚀管道失效压力预测研究[J].计算机技术与发展,2024,34(5):80-86,7.基金项目
国家自然科学基金项目(41877527) （41877527）
