Study of Corrosion Behavior of Grey Coatings Performances Based on Fuzzy C-means Clustering

被引：0
|
作者：
Xu, Antao [1 ]
Li, Xidong [2 ]
Zhou, Hui [2 ]
Sun, Bo [3 ]
机构：
[1] Army Mil Transportat Univ, Delivery Equipment Support Dept, Tianjin 300161, Peoples R China
[2] Army Mil Transportat Univ, Co 5, Postgrad Training Brigade, Tianjin 300161, Peoples R China
[3] 96864 Unit PLA, Luoyang 471003, Peoples R China
来源：
MATERIALS SCIENCE, ENERGY TECHNOLOGY AND POWER ENGINEERING II (MEP2018) | 2018年 / 1971卷
关键词：
Organic coating; Immersion state; Electrochemical Impedance Spectroscopy; Fuzzy C-means Clustering; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY;
D O I：
10.1063/1.5041209
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Under immersion state, the corrosion behavior of grey organic coating has been studied by using electrochemical impedance spectroscopy (EIS). This paper has selected the three characteristic parameters (the low frequency impedance, high frequency phase Angle, relative dielectric constant) from the EIS plot as the evaluation index to evaluate roughly the protective performance of the coating. Assisted by fuzzy C-means clustering method, the classification of the whole process of coating failure can be achieved. The result of the study demonstrated that it was useful to evaluate the coating performance state fast.
引用
收藏
页数：8
相关论文
共 50 条
  • [31] Indoor Fingerprint Localization Based on Fuzzy C-means Clustering
    Zhou, Hao
    Nguyen Ngoc Van
    2014 SIXTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2014, : 337 - 340
  • [32] A COMPARATIVE STUDY OF FUZZY C-MEANS ALGORITHM AND ENTROPY-BASED FUZZY CLUSTERING ALGORITHMS
    Chattopadhyay, Subhagata
    Pratihar, Dilip Kumar
    De Sarkar, Sanjib Chandra
    COMPUTING AND INFORMATICS, 2011, 30 (04) : 701 - 720
  • [33] An Image Segmentation Algorithm Based on Fuzzy C-Means Clustering
    Zhang, Xin-bo
    Jiang, Li
    ICDIP 2009: INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING, PROCEEDINGS, 2009, : 22 - 26
  • [34] Track mining based on density clustering and fuzzy C-means
    Jin, Dailiang
    Zhao, Xu
    Pang, Long
    IEEE 20TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS / IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITY / IEEE 4TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 2018, : 1429 - 1434
  • [35] Clonal Selection based Fuzzy C-Means Algorithm for Clustering
    Ludwig, Simone A.
    GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2014, : 105 - 112
  • [36] Fuzzy c-means clustering and Internet portals:: A case study
    Ozer, M
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 164 (03) : 696 - 714
  • [37] An ordered clustering algorithm based on fuzzy c-means and PROMETHEE
    Bai, Chengzu
    Zhang, Ren
    Qian, Longxia
    Liu, Lijun
    Wu, Yaning
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (06) : 1423 - 1436
  • [38] An ordered clustering algorithm based on fuzzy c-means and PROMETHEE
    Chengzu Bai
    Ren Zhang
    Longxia Qian
    Lijun Liu
    Yaning Wu
    International Journal of Machine Learning and Cybernetics, 2019, 10 : 1423 - 1436
  • [39] A Fuzzy C-Means Clustering Algorithm Based on Reachable Distance
    Cui, Junchao
    Zhang, Qiongbing
    Li, Xiaolong
    Journal of Geo-Information Science, 2024, 26 (09) : 2038 - 2051
  • [40] An improved fuzzy C-means clustering algorithm based on PSO
    Niu Q.
    Huang X.
    Journal of Software, 2011, 6 (05) : 873 - 879
12345