Assessment and prediction of leakage degree of expansion joints in underground network heating pipe network based on LS-SVM and ARIMA model

Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

Volumn , Issue , 2018, Pages 1697-1702

  Shang Bin, Jiao ^a   Le, Fan ^a   Peng Yue, Wu ^b   Lei, Qiao ^b   Yong Ze, Jin ^a   Qian Kun, Shen ^b  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b XI AN THERMAL POWER RESEARCH INSTITUTE CO   (China)

Author keywords

ARIMA; expansion joints; LS SVM; PSO algorithm

Indexed keywords

EXPANSION; FORECASTING; INDUSTRIAL ELECTRONICS; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS;

ARIMA; HEATING PIPE NETWORKS; KERNEL FUNCTION PARAMETERS; LS-SVM; PSO ALGORITHMS; RADIAL BASIS FUNCTIONS; UNDERGROUND HEATING; UNDERGROUND NETWORKS;

EXPANSION JOINTS;

EID: 85050101488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2018.8397983     Document Type: Conference Paper

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