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Laboratory-Scale Identification of Corrosion Mechanisms by a Pattern Recognition System Based on Electrochemical Noise Measurements
Zhang, Zhen1,2; Wu, Xinqiang1; Tan, Jibo1
Corresponding AuthorWu, Xinqiang(xqwu@imr.ac.cn)
2019-07-17
Source PublicationJOURNAL OF THE ELECTROCHEMICAL SOCIETY
ISSN0013-4651
Volume166Issue:12Pages:C284-C295
AbstractUniform corrosion, pitting corrosion and passivation of 304 stainless steel were promoted and pattern recognition system (PRS) based on electrochemical noise (EN) measurements was employed to classify these corrosion mechanisms in laboratory-scale. The EN signals were analyzed using statistical, shot noise, wavelet and recurrence quantification analysis. It was found that the PRS designed by combining these EN parameters has a discriminant accuracy of 99.7%, which is superior to those designed by solely statistical parameters (92.4%), and the parameters selected by principle component analysis (97.8%). The application of the PRS above is evaluated by considering environmental factors and material types. (C) 2019 The Electrochemical Society.
Funding OrganizationNational Natural Science Foundation of China ; National Science and Technology Major Project ; Chinese Academy of Sciences ; Innovation Fund of Institute of Metal Research, Chinese Academy of Sciences
DOI10.1149/2.0761912jes
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51671201] ; National Natural Science Foundation of China[51371174] ; National Science and Technology Major Project[2017ZX06002003-004-002] ; Chinese Academy of Sciences[ZDRW-CN-2017-1] ; Innovation Fund of Institute of Metal Research, Chinese Academy of Sciences[SCJJ-2013-ZD-02]
WOS Research AreaElectrochemistry ; Materials Science
WOS SubjectElectrochemistry ; Materials Science, Coatings & Films
WOS IDWOS:000475956700001
PublisherELECTROCHEMICAL SOC INC
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/134616
Collection中国科学院金属研究所
Corresponding AuthorWu, Xinqiang
Affiliation1.Chinese Acad Sci, Inst Met Res, CAS Key Lab Nucl Mat & Safety Assessment, Liaoning Key Lab Safety & Assessment Tech Nucl Ma, Shenyang 110016, Liaoning, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, Hefei 230026, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Zhen,Wu, Xinqiang,Tan, Jibo. Laboratory-Scale Identification of Corrosion Mechanisms by a Pattern Recognition System Based on Electrochemical Noise Measurements[J]. JOURNAL OF THE ELECTROCHEMICAL SOCIETY,2019,166(12):C284-C295.
APA Zhang, Zhen,Wu, Xinqiang,&Tan, Jibo.(2019).Laboratory-Scale Identification of Corrosion Mechanisms by a Pattern Recognition System Based on Electrochemical Noise Measurements.JOURNAL OF THE ELECTROCHEMICAL SOCIETY,166(12),C284-C295.
MLA Zhang, Zhen,et al."Laboratory-Scale Identification of Corrosion Mechanisms by a Pattern Recognition System Based on Electrochemical Noise Measurements".JOURNAL OF THE ELECTROCHEMICAL SOCIETY 166.12(2019):C284-C295.
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