[1] 张其敏,杨怡恒. 埋地管道腐蚀损伤评价[J].管道技术与设备, 2004(3):39-41. ZHANG Qimin,YANG Yiheng. Corrosion harm evaluation of underground pipelines[J].Pipeline Technique and Equipment,2004(3):39-41. [2] 王春雪,吕淑然. 城市燃气管道泄漏致灾混合概率风险评估研究[J].中国安全科学学报,2016,26(12):146-151. WANG Chunxue, LYU Shuran. Mixture probabilistic model based assessment of risk of disaster induced by urban gas pipelineleakage[J].China Safety Science Journal, 2016,26(12):146-151. [3] 龙学渊,袁宗明. 不等时距GM(1,1)模型在预测输气管道腐蚀中的应用[J].管道技术与设备,2006(1):35-37. LONG Xueyuan, YUAN Zongming. Application of an unequal interval gray forecast GM(1, 1)model for gas pipeline corrosion forecast[J]. Pipeline Technique and Equipment, 2006(1):35-37. [4] ALLAHKARAM S R,ISAKHANI-ZAKARIA M,DERAKHSHANI M,et al. Investigation on corrosion rate and novel corrosion criterion for gas pipelines affected by dynamic stray current[J]. Journal of Natural Gas Science and Engineering,2015,26:453-460. [5] 周慧,王晓光,张有君. 输气管道腐蚀速率的BP神经网络组合预测方法[J].腐蚀科学与防护技术,2010,22(3):162-165. ZHOU Hui, WANG Xiaoguang, ZHANG Youjun. BP neural networks combinatorial forecasting method for gas pipeline's corrosion rate[J]. Corrosion Science and Protection Technology, 2010,22(3):162-165. [6] 郑文茹,杜翠薇,刘智勇,等. 埋地燃气管道泄漏失效与数据库研究进展[J].腐蚀与防护,2013,34(8):723-726,738. ZHENG Wenru, DU Cuiwei, LIU Zhiyong, et al. Progress in research on leakage failure and database of buried gas pipelines[J]. Corrosion and Protection, 2013,34(8): 723-726,738. [7] 苗金明,王强. 城市燃气埋地钢管腐蚀失效风险评估方法研究[J].中国安全科学学报,2013,23(7):49-54. MIAO Jinming, WANG Qiang. Study on corrosion failure risk assessment method for urban buried gas steel pipeline[J]. China Safety Science Journal, 2013,23(7):49-54. [8] 赵冬. 长输管道土壤腐蚀特性分析[J]. 当代化工,2014,43(12):2 643-2 644. ZHAO Dong. Analysis of long-distance pipeline corrosion properties in soil[J]. Contemporary Chemical Industry,2014,43(12):2 643-2 644. [9] CAGNO E, CARON F, MANCINI M, et al. Using AHP in determining the prior distributions on gas pipeline failures in a robust Bayesian approach[J]. Reliability Engineering & System Safety, 2000, 67(3):275-284. [10] 黄小美,李百战,彭世尼,等. 燃气管道失效概率评估方法研究[J]. 石油学报,2010,31(4):664-667. HUANG Xiaomei, LI Baizhan, PENG Shini, et al. Study on probabilistic assessment methods of failure on gas pipelines[J]. Acta Petrolei Sinica, 2010,31(4):664-667. [11] 沙宝良. 埋地管道的防腐参数采集传输与防腐性能评价[D].哈尔滨:东北石油大学,2013. SHA Baoliang. Collection and transmission of corrosion prevention parameters of buried pipeline and performance assessment of corrosion prevention[D].Harbin: Northeast Petroleum University,2013. [12] 章博. 高含硫天然气集输管道腐蚀与泄漏定量风险研究[D].青岛:中国石油大学(华东),2010. ZHANG Bo. Analysis of risk due to corrosion and leakage of high sulfide natural gas gasthering pipeline[D].Qingdao: China University Petroleum(East China),2010. [13] 万正军,甘芳吉,罗航,等. 基于电位矩阵法的金属管道腐蚀剩余厚度监测研究[J].四川大学学报:工程科学版,2013,45(4):91-102. WAN Zhengjun, GAN Fangji, LUO Hang, et al. Research on monitoring the remaining thickness of the corrosion of metal pipe based on the field signature method[J]. Journal of Sichuan University:Engineering Science Edition,2013,45(4):91-102. [14] PAWLAK Z. Roset sets[J]. International Journal of Computer and Information Sciences, 1982, 11(5):341-356. [15] 周远,吴秀宇. 建筑施工企业安全投资决策的RS-SVM模型研究[J].中国安全科学学报,2015,25(5):98-102. ZHOU Yuan, WU Xiuyu. RS-SVM modeling research on safety investment-performance decision in construction enterprises[J]. China Safety Science Journal, 2015,25(5):98-102. [16] SUYKENS J A K,VANDEWALLE J. Least squares support vector machine classifiers [J]. Neural Network Letters, 1999,19(3):293-300. [17] ZHANG Xiaoyuan, ZHOU Jianzhong, GUO Jun. Vibrant fault diagnosis for hydroelectric generator units with a new comb-ination of rough sets and support vector machine [J]. Expert Systems with Applications,2012,39(3):5 822-5 829. [18] 胡清华,于达仁,谢宗霞,等. 基于邻域粒化和粗糙逼近的数值属性约简[J].软件学报,2008,19(3):640-649. HU Qinghua, YU Daren, XIE Zongxia, et al. Numerical attribute reduction based on neighborhood granulation and rough approximation[J]. Journal of Software, 2008,19(3):640-649. [19] 葛浩,李龙澍,徐怡,等. 水平划分决策表的属性约简算法[J].四川大学学报:工程科学版,2014,46(3):89-94. GE Hao, LI Shupeng, XU Yi, et al.An algorithm for attribute reduction based on horizontally partitioning decisiontable[J]. Journal of Sichuan University:Engineering Science Edition, 2014,46(3):89-94. [20] SY/T 6151—2009, 钢质管道管体腐蚀损伤评价方法[S]. SY/T 6151-2009, Corrosion damage assessment method of steel pipe[S]. [21] 辛宪会. 支持向量机理论、算法与实现[D].郑州:中国人民解放军信息工程大学,2005. XIN Xianhui. Support vector machines theory, algorithms and implementation[D].Zhengzhou: PLA Information Engineerig University,2005. |