Studies in Applied Electromagnetics and Mechanics最新文献_第2页

Impact Damages Detection on CFRP Using Eddy Current Pulsed Thermography 利用涡流脉冲热成像技术检测CFRP的冲击损伤

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200025

A. Ba, Q. Yi, Junzhen Zhu, H. Bui, G. Tian, G. Berthiau, G. Wasselynck

引用次数: 0

Corrosion Evaluation Using Clustering Method Based on Eddy Current Pulsed Thermography 基于涡流脉冲热成像的聚类腐蚀评价方法

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200041

Peizhen Shi, S. Ding, Yuming Chen, Yiqing Wang, G. Tian, F. Zhu

引用次数: 0

Developments in GPR Based NDT for Ballastless Track of High-Speed Railways 基于探地雷达的高速铁路无砟轨道无损检测技术进展

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200045

Xiaoting Xiao, Guiyun Tian, Dong Liu, Mark Robinson, A. Gallagher

引用次数: 1

Numerical Simulation on Stress Measurement with Eddy Current Thermography 涡流热像仪应力测量的数值模拟

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200018

Shuwen Deng, Suixian Yang, Yong Yao

引用次数: 0

An Investigation of Corrosion Progression Using Laser Profilometry 用激光轮廓术研究腐蚀过程

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200028

Hong Zhang, R. Wu

引用次数: 0

Prediction of the Hardness of X12m Using Barkhausen Noise and Chebyshev Polynomials Regression Methods Barkhausen噪声与Chebyshev多项式回归预测X12m硬度

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200030

Zibo Li, Shicheng Li, Donghao Wang, Guangmin Sun, C. He, Yu Li, Xiucheng Liu, Yanchao Cai, Chu Wang

{"title":"Prediction of the Hardness of X12m Using Barkhausen Noise and Chebyshev Polynomials Regression Methods","authors":"Zibo Li, Shicheng Li, Donghao Wang, Guangmin Sun, C. He, Yu Li, Xiucheng Liu, Yanchao Cai, Chu Wang","doi":"10.3233/saem200030","DOIUrl":"https://doi.org/10.3233/saem200030","url":null,"abstract":"Barkhausen noise (BN) is electromagnetic pulse sequence that could be used to nondestructively predict the properties of materials such as hardness, residual stress and carbon content. Current BN signal analysis methods fail to describe the highly variated BN signal and achieve high regression accuracy due to the low interpretability of neural network and limited capacity of mathematical regression tools. In this paper, two multi-variable regression tools, named partial Chebyshev polynomial regression (PCPR) and Mutual Information-based Feature Selection with Class-dependent Redundancy and multi-variable Chebyshev polynomials regression (MIFS-CR+MCPR), are employed for the first time to predict the hardness of Cr12MoV steel (i.e. X12m). Combined with Chebyshev polynomials, our regression tools are designed on the basis of cascaded regression and mutual-information-based feature selection. As represented by the experimental results for predicting the hardness of X12m, the proposed method outperforms other comparative methods including neural network and partial linear square regression method.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130522364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Validation of the Reduced Vector Potential Formulation with the DtN Boundary Condition 基于DtN边界条件的简化向量势公式的验证

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200020

A. Efremov, L. Udpa, A. Tamburrino

引用次数: 0

Study on Effect of Electromagnetic Characteristics of Deformed 304 Stainless Steel on Eddy Current Testing 变形304不锈钢电磁特性对涡流检测影响的研究

Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200003

Benli Wan, B. Hu, Li Yuntao, Yuhong Zhu

{"title":"Study on Effect of Electromagnetic Characteristics of Deformed 304 Stainless Steel on Eddy Current Testing","authors":"Benli Wan, B. Hu, Li Yuntao, Yuhong Zhu","doi":"10.3233/saem200003","DOIUrl":"https://doi.org/10.3233/saem200003","url":null,"abstract":"The induced ferrite and other high magnetic microstructures content changes are studied when 304 austenitic stainless steel stripe specimens are tested under different uniaxial tension deformation, namely its deformation less than 50%. Furtherly, the correlation is plotted between the resulting magnetic permeability or coercivity caused by these microstructures and deformation. Meanwhile, the optimal eddy current excitation frequency under different deformation was obtained, which was consistent with 3-D finite element analysis (FEA). Besides, other various factors affecting the quality of eddy current testing (ECT), such as temperature and conductivity, are also considered comprehensively during the tensile test. The results of the experiment and simulation calculation show that when the deformation is within 50% that necking deformation has occurred, the magnetic permeability of specimens increases with deformation, and gradually begin to have the magnetic properties of weak ferromagnetic materials, which also changes the optimal excitation frequency, which varies from 60 kHz to 110 kHz. Because of the electromagnetic response noise increase, the impedance plane diagrams of defects distort simultaneously, which leads to the quantitative evaluation error of defects.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Eddy Current Testing of the Lightning Strike Protection Layer in Aerospace Composite Structures 航空复合材料结构雷击保护层的涡流试验

Studies in Applied Electromagnetics and Mechanics Pub Date : 1900-01-01 DOI: 10.3233/saem200004

Bo Feng, D. Pasadas, A. Ribeiro, H. Ramos

引用次数: 1

Multi-Channel IoT-Based Ensemble-Features Fault Diagnosis for Machine Condition Monitoring 基于多通道物联网集成特征的机器状态监测故障诊断

Studies in Applied Electromagnetics and Mechanics Pub Date : 1900-01-01 DOI: 10.3233/saem200037

Shang Gao, Cuicui Du

{"title":"Multi-Channel IoT-Based Ensemble-Features Fault Diagnosis for Machine Condition Monitoring","authors":"Shang Gao, Cuicui Du","doi":"10.3233/saem200037","DOIUrl":"https://doi.org/10.3233/saem200037","url":null,"abstract":"This paper proposes a multi-channel internet of things (IoT)-based industrial wireless sensor network (IWSN) with ensemble-features fault diagnosis for machine condition monitoring and fault diagnosis. In this paper, the rolling bearing is taken as an example of monitored industrial equipment due to its wide use in industrial processes. The rolling bearing vibration signals are measured for further processing and analysis. On-sensor node ensemble feature extraction and fault diagnosis using Back Propagation network are then investigated to address the tension between the higher system requirements of IWSNs and the resource-constrained characteristics of sensor nodes. A two-step classifier fusion approach using Dempster-Shafer theory is also explored to increase diagnosis result quality. Four rolling bearing operating in cage fracture, rolling ball spalling, inner ring spalling and outer ring spalling are monitored to evaluate the proposed system. The final fault diagnosis results using the proposed classifier fusion approach give a result certainty of at least 94.21%, proving the feasibility of the proposed method to identify the bearing-fault patterns. This paper is conducted to provide new insights into how a high-accuracy IoT-based ensemble-features fault diagnosis algorithm is designed and further giving advisable reference to more IWSNs scenarios.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132298437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0