2011 IEEE AUTOTESTCON最新文献_第5页

Research on features for diagnostics of filtered analog circuits based on LS-SVM 基于LS-SVM的滤波模拟电路诊断特征研究

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058746

B. Long, Shulin Tian, Q. Miao, M. Pecht

{"title":"Research on features for diagnostics of filtered analog circuits based on LS-SVM","authors":"B. Long, Shulin Tian, Q. Miao, M. Pecht","doi":"10.1109/AUTEST.2011.6058746","DOIUrl":"https://doi.org/10.1109/AUTEST.2011.6058746","url":null,"abstract":"Feature selection techniques have become an apparent need for diagnostic methods such as a least squares support vector machine (LS-SVM). Most researchers use wavelet transform coefficients of the time-domain transient response data obtained from filtered analog circuits as features to train a LS-SVM classifier to diagnose faults. But wavelet coefficient features have certain disadvantages such as no physical meanings. Thus, in this paper, two new feature vectors with clearly defined meanings based on a time-domain response curve and a frequency response curve of a filter are proposed, respectively. In addition, a statistical property feature vector which represents global properties of the time-domain response curve or the frequency response curve is proposed. The results from the simulation data and real data for a biquad filter showed the following: (1) these proposed conventional time-domain and frequency features, which are already familiar to designers of filtered analog circuits, have good diagnostic accuracy—all above 91% for the example circuit; (2) the best accuracies using the proposed statistical property feature vector are 100% for time-domain simulation data, and for both real experiment data ; (3) the diagnostic accuracy using the proposed combined feature vector is more accurate than conventional feature vectors; (4) an LS-SVM can be used to diagnose faults in a real analog circuit that only has a few fault samples.","PeriodicalId":110721,"journal":{"name":"2011 IEEE AUTOTESTCON","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134076893","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: 35

Testable and diagnosable commercial off the shelf (COTS) electronics 可测试和诊断的商用现货(COTS)电子产品

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058731

L. Ungar

引用次数: 2

Integrated model-based and data-driven fault detection and diagnosis approach for an automotive electric power steering system 基于模型和数据驱动的汽车电动助力转向系统故障综合检测与诊断方法

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058760

Rajeev Ghimire, C. Sankavaram, A. Ghahari, K. Pattipati, Y. Ghoneim, Mark N Howell, M. Salman

引用次数: 21

A practical use for ATML Capabilities ATML功能的实际应用

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058789

C. Gorringe, T. Lopes, D. Pleasant

引用次数: 1

Automation Hooks Architecture for Flexible Test Orchestration - concept development and validation 用于灵活测试编排的自动化挂钩体系结构——概念开发和验证

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058728

C. Lansdowne, John R. Maclean, C. Winton, P. McCartney

引用次数: 0

Rapid development and porting of new waveforms for Synthetic Instrumentation 合成仪器新波形的快速开发和移植

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058764

C. Parkey

引用次数: 0

Diagnostic alarm sequence maturation in timed failure propagation graphs 定时故障传播图中的诊断报警序列成熟

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058741

S. Strasser, J. Sheppard

引用次数: 21

Achieving optimum test by applying standardization 通过标准化实现最佳试验

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058787

R. Shannon, M. Modi, J. Stanco

引用次数: 3

Broadband PXI local oscillator modules with low phase noise and fast switching speed 宽带PXI本振模块，相位噪声低，开关速度快

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058754

A. Chenakin, S. Ojha, Shyam Nediyanchath, V. Bykhovsky, Steven McClellan, Hue Ngo

引用次数: 0

On-line adaptive data-driven fault prognostics of complex systems 复杂系统在线自适应数据驱动故障预测

2011 IEEE AUTOTESTCON Pub Date : 2011-10-24 DOI: 10.1109/AUTEST.2011.6058755

Datong Liu, Shaojun Wang, Yu Peng, Xiyuan Peng

{"title":"On-line adaptive data-driven fault prognostics of complex systems","authors":"Datong Liu, Shaojun Wang, Yu Peng, Xiyuan Peng","doi":"10.1109/AUTEST.2011.6058755","DOIUrl":"https://doi.org/10.1109/AUTEST.2011.6058755","url":null,"abstract":"Data-driven prognostics based on sensor or historical test data have become appropriate prediction means in prognostics and health management (PHM) application. However, most traditional data-driven forecasting methods are off-line which would be seriously limited in many PHM systems that need on-line predicting and real-time processing. Furthermore, even in some on-line prediction methods such as Online SVR, there are conflicts and trade-offs between prognostics efficiency and accuracy. Therefore, in different PHM applications, prognostics algorithms should be on-line, flexible and adaptive to balance the prediction efficiency and accuracy. An on-line adaptive data-driven prognostics strategy is proposed with five different improved on-line prediction algorithms based on Online SVR. These five algorithms are improved with kernel combination and sample reduction to realize higher precision and efficiency. These algorithms can achieve more accurate results by data pre-processing, moreover, faster operation speed and different computational complexity can be achieved by improving training process with on-line data reduction. With these different improved Online SVR approaches, varies of demands with different precision and efficiency could be fulfilled by an adaptive prediction strategy. To evaluate the proposed prognostics strategy, we have executed simulation experiments with Tennessee Eastman (TE) process. In addition, the prediction strategies are also tested and evaluated by traffic mobile communication data from China Mobile Communications Corporation Heilongjiang Co., Ltd. Experiments and test results prove its effectiveness and confirm that the algorithms can be effectively applied to the on-line status prediction with excellent performance in both precision and efficiency.","PeriodicalId":110721,"journal":{"name":"2011 IEEE AUTOTESTCON","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125197398","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: 10