[1] |
HASAN S, SWEET L, HULTS J, et al. Corrosion risk-based subsea pipeline design[J]. The International Journal of Pressure Vessels and Piping, 2018, 159:1-14.
doi: 10.1016/j.ijpvp.2017.10.003
|
[2] |
王如君, 王天瑜. 灰色-马尔科夫链模型在埋地油气管道腐蚀预测中的应用[J]. 中国安全生产科学技术, 2015, 11(4):102-106.
|
|
WANG Rujun, WANG Tianyu. Application of grey Markov chain model in corrosion forecast of buried oil and gas pipelines[J]. Journal of Safety Science and Technology, 2015, 11(4):102-106.
|
[3] |
张新生, 叶晓艳. 不同初始条件的UGM(1,1)管道腐蚀预测建模研究[J]. 中国安全科学学报, 2019, 29(3):63-69.
doi: 10.16265/j.cnki.issn1003-3033.2019.03.011
|
|
ZHANG Xinsheng, YE Xiaoyan. Study on UGM(1,1) modeling for prediction of pipes corrosion under different initial conditions[J]. China Safety Science Journal, 2019, 29(3):63-69.
doi: 10.16265/j.cnki.issn1003-3033.2019.03.011
|
[4] |
骆正山, 陈晨, 王哲. 优化的Gray Markov模型在埋地管道腐蚀速率预测中的应用[J]. 腐蚀与防护, 2019, 40(5):313-317.
|
|
LUO Zhengshan, CHEN Chen, WANG Zhe. Application of improved Gray Markov dynamic model in predicting corrosion rates of oil and gas pipeline[J]. Corrosion & Protection, 2019, 40(5):313-317.
|
[5] |
经建芳, 李康春, 邓富康, 等. 油气管道腐蚀的灰色线性回归组合预测模型[J]. 油气储运, 2015, 34(12):1300-1304.
|
|
JING Jianfang, LI Kangchun, DENG Fukang, et al. Prediction model of oil and gas pipeline corrosion based on grey-linear regression combination[J]. Oil & Gas Storage and Transportation, 2015, 34(12):1300-1304.
|
[6] |
任南南, 商永滨, 陈军斌, 等. 灰色模型在采油井管材腐蚀速率预测中的应用[J]. 热加工工艺, 2020, 49(4):34-37.
|
|
REN Nannan, SHANG Yongbin, CHEN Junbin, et al. Application of grey model in predicting corrosion rate of oil well pipe[J]. Hot Working Technology, 2020, 49(4):34-37.
|
[7] |
许宏良, 殷苏民. 基于改进BP神经网络优化的管道腐蚀速率预测模型研究[J]. 表面技术, 2018, 47(2):177-181.
|
|
XU Hongliang, YIN Sumin. Prediction model of pipeline corrosion rate based on improved BP neural network[J]. Surface Technology, 2018, 47(2):177-181.
|
[8] |
JIMÉNEZ-COME M J, MARTIN De La Luzm, MATRES V. A support vector machine-based ensemble algorithm for pitting corrosion modeling of EN 1.4404 stainless steel in sodium chloride solutions[J]. Materials and Corrosion, 2019, 70(1):19-27.
|
[9] |
王盼锋, 王寿喜, 马钢, 等. 基于PCA-PSO-SVM模型的海底多相流管道内腐蚀速率预测[J]. 安全与环境工程, 2020, 27(2):183-189.
|
|
WANG Panfeng, WANG Shouxi, MA Gang, et al. Prediction of internal corrosion rate of submarine multiphase flow pipelines based on PCA-PSO-SVM[J]. Safety and Environmental Engineering, 2020, 27(2):183-189.
|
[10] |
WANG Chen, MA Gang, LI Junfei, et al. Prediction of corrosion rate of submarine oil and gas pipelines based on IA-SVM model[J]. IOP Conference Series: Earth and Environmental Science, 2019, 242(2):DOI: 10.1088/1755-1315/242/2/022023.
doi: 10.1088/1755-1315/242/2/022023
|
[11] |
OH D, RACE J, OTERKUS S, et al. Burst pressure prediction of API 5L X-Grade dented pipelines using deep neural network[J]. Journal of Marine Science and Engineering, 2020, 8(10):DOI: 10.3390/jmse8100766.
doi: 10.3390/jmse8100766
|
[12] |
周德慧. 物流上市公司融资结构影响因素实证研究[J]. 商业经济研究, 2020(22):176-178.
|
|
ZHOU Dehui. An empirical study on the influencing factors of financing structure of listed logistics companies[J]. Journal of Commercial Economics, 2020(22):176-178.
|
[13] |
张长鲁. 基于因子分析的煤质指标降维及其可视化应用[J]. 煤炭技术, 2017, 36(1):310-313.
|
|
ZHANG Changlu. Dimension reduction for coal quality index and its visual application based on factor analysis[J]. Coal Technology, 2017, 36(1):310-313.
|
[14] |
高放, 包燕平, 王敏, 等. 基于FA-ELM的转炉终点磷含量预测模型[J]. 钢铁, 2020, 55(12):24-30.
|
|
GAO Fang, BAO Yanping, WANG Min, et al. Prediction model of end-point phosphorus content of converter based on FA-ELM[J]. Iron and Steel, 2020, 55(12):24-30.
|
[15] |
王甜甜, 刘强. 基于BAS-BP模型的风暴潮灾害损失预测[J]. 海洋环境科学, 2018, 37(3):457-463.
|
|
WANG Tiantian, LIU Qiang. The assessment of storm surge disaster loss based on BAS-BP model[J]. Marine Environmental Science, 2018, 37(3):457-463.
|
[16] |
CHEN Cai, QIAN Qian, FU Yunfa. Application of BAS-Elman neural network in prediction of blasting vibration velocity[J]. Procedia Computer Science, 2020, 166:491-495.
doi: 10.1016/j.procs.2020.02.059
|
[17] |
李易安, 骆正山. 基于KPCA-ICS-ELM算法的埋地管线土壤腐蚀深度预测[J]. 中国安全科学学报, 2020, 30(12):100-105.
doi: 10.16265/j.cnki.issn 1003-3033.2020.12.014
|
|
LI Yian, LUO Zhengshan. Soil corrosion depth prediction of buried pipelines based on KPCA-ICS-ELM algorithm[J]. China Safety Science Journal, 2020, 30(12):100-105.
doi: 10.16265/j.cnki.issn 1003-3033.2020.12.014
|
[18] |
温廷新, 靳露露. 基于预处理的IFOA-ELM煤与瓦斯突出预测模型[J]. 中国安全科学学报, 2020, 30(1):35-41.
doi: 10.16265/j.cnki.issn1003-3033.2020.01.006
|
|
WEN Tingxin, JIN Lulu. IFOA-ELM prediction model of coal and gas outburst based on preprocessing[J]. China Safety Science Journal, 2020, 30(1):35-41.
doi: 10.16265/j.cnki.issn1003-3033.2020.01.006
|
[19] |
骆正山, 田珮琦. RS-PSO-ELM下腐蚀管道失效压力预测[J]. 中国安全科学学报, 2021, 31(3):28-34.
doi: 10.16265/j.cnki.issn1003-3033.2021.03.004
|
|
LUO Zhengshan, TIAN Peiqi. Prediction of failure pressure of corrosion pipelines based on RS-PSO-ELM[J]. China Safety Science Journal, 2021, 31(3):28-34.
doi: 10.16265/j.cnki.issn1003-3033.2021.03.004
|
[20] |
邓志安, 李姝仪, 李晓坤, 等. 基于模糊神经网络的海洋管线腐蚀速率预测新方法[J]. 中国腐蚀与防护学报, 2015, 35(6):571-576.
|
|
DENG Zhi'an, LI Shuyi, LI Xiaokun, et al. A prediction method based on fuzzy neural network for corrosion rate of marine pipelines[J]. Journal of Chinese Society for Corrosion and Protection, 2015, 35(6):571-576.
|