基于自适应仿射传播的储罐罐底声发射腐蚀检测
Corrosion Inspection Evaluation on Tank Bottom Based on Adaptive Affinity Propagation Algorithm
摘 要
针对储罐罐底在线声发射腐蚀检测评价过程中事件数集中区域难以确定的问题,提出一种基于自适应仿射传播的罐底声发射腐蚀评价方法.该方法采用自适应扫描偏向参数空间与调整阻尼因子获得最优聚类数目,确定声发射事件数集中区域,并按相关检测标准对罐底的腐蚀状态级别进行评价.数据分析结果表明:该方法克服了传统K均值算法无法准确获知聚类数目的缺点,精确地确定了罐底事件数集中区域,有效提高了罐底腐蚀评价的准确率.
声发射检测
自适应仿射传播
腐蚀检测评价
Storage tank
Acoustic emission inspection
Adaptive affinity propagation
Corrosion detection and evaluation
Abstract
A method of corrosion evaluation on tank bottom based on adaptive affinity propagation (adAP) algorithm is proposed for finding acoustic emission (AE) events clustering regions.The number of clusters is searched for finding the optional clustering solution by adaptive scanning of parameters space and adaptively adjusting damping factors.In addition,the AE events focusing areas are determined by the clustering results and the level of tank bottom's corrosion state is evaluated according to the acoustic emission testing standards.The test results of storage tanks show that the limitation of the traditional K-means algorithm which does not know the clusters number is overcome by the method and the clustering regions of AE events are accurately found.Thus the accuracy of corrosion evaluation on storage tank bottom is improved.
中图分类号 TG115.28
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(51175079);江苏省质量技术监督局资助项目(KJ(Y)2012014)
收稿日期 2014/8/19
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备注朱峰(1989-),男,硕士研究生,主要从事设备监控与智能故障诊断方面的研究工作.
引用该论文: ZHU Feng,HU Jian-zhong,ZHANG Yan-bing. Corrosion Inspection Evaluation on Tank Bottom Based on Adaptive Affinity Propagation Algorithm[J]. Nondestructive Testing, 2015, 37(3): 22～27
朱峰,胡建中,张延兵. 基于自适应仿射传播的储罐罐底声发射腐蚀检测[J]. 无损检测, 2015, 37(3): 22～27
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【3】RIAHI M,SHAMEKH H,KHOSROWZADEH B.Differentiation of leakage and corrosion signals in acoustic emission testing of aboveground storage tank floorswith artificial neural net works [J].Russian Journal of Nondestructive Testing,2008,44(6):436-441.
【4】王伟魁,曾周末,李一博,等.基于小波聚类的罐底声发射源聚集区域自动识别[J].纳米技术与精密工程,2012,10(6):531-536.
【5】FREY B J,DUECK D.Clustering by Passing Messages Between Data Points[J].Science,2007,315:972-976.
【6】王羡慧,陈俊英,覃征,等.基于动态阻尼因子的动态阻尼仿射传播聚类[J].华中科技大学学报:自然科学版,2012,40(2):116-122.
【7】TANG D M,ZHU Q X,YANG F.A Poisson-based adaptive affinity propagation clustering for SAGE data[J].Computational Biology and Chemistry,2010,34(1):63-70.
【8】赵健,唐洁,谢瑜.仿射传播算法在图像聚类应用中的实现与分析[J].计算机应用研究,2012,29(10):3980-3982.
【9】ZHANG X L,FURTLEHNER C,SEBAG M.Data streaming with affinity propagation[J].Machine Learning and Knowledge Discovery in Databases,Lecture Notes in Computer Science,2008,5212:628-643.
【10】郑文栋,王辉,钱勇,等.基于自适应仿射传播聚类的GIS局放缺陷分类研究[J].高压电器,2013,49(8):50-55.
【11】王开军,张军英,李丹,等.自适应仿射传播聚类[J].自动化学报,2007,33(12):1242-1246.
【12】JB/T 10764—2007,常压金属储罐声发射检测及评价方法[S].
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