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1. 題目：Generalization of Label Propagation Algorithm in Complex Networks 作者：Ai ping Zhang, Guang Ren, Hui Cao, Bao zhu Jia，Shu bin Zhang 論文集：2013 25th Chinese Control and Decision Conference (CCDC) 頁(yè)碼：1306-1309 2.題目： Fault Diagnosis for Marine Diesel Engine Based on Class Label Probability and Random Walk 作者：Aiping Zhang, Guang Ren , Baozhu Jia , Yejin Lin , Jundong Zhang 論文集卷期：Applied Mechanics and Materials Vols. 333-335 (2013) 頁(yè)碼：1777-1781 多謝！ |
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Accession number: 20133516681205 Title: Fault diagnosis for marine diesel engine based on class label probability and random walk Authors: Zhang, Aiping1 ; Ren, Guang1 ; Jia, Baozhu1 ; Lin, Yejin1 ; Zhang, Jundong1 Author affiliation: 1 College of Marine Engineering, Dalian Maritime University, Dalian, China Source title: Applied Mechanics and Materials Abbreviated source title: Appl. Mech. Mater. Volume: 333-335 Monograph title: Measurement Technology and Engineering Researches in Industry Issue date: 2013 Publication year: 2013 Pages: 1777-1781 Language: English ISSN: 16609336 E-ISSN: 16627482 ISBN-13: 9783037857502 Document type: Conference article (CA) Conference name: 2013 2nd International Conference on Measurement, Instrumentation and Automation, ICMIA 2013 Conference date: April 23, 2013 - April 24, 2013 Conference location: Guilin, China Conference code: 99005 Sponsor: Korea Maritime University; Hong Kong Industrial Technology Research Centre; Inha University Publisher: Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland Abstract: Cluster methods can be used for fault diagnosis of marine diesel engine. We propose a cluster method by assigning a class label to each sample and updating it according to the class label probability. Due to the random walk process in cluster process, multiple results are obtained, and some classes can be found more easily. Fault diagnosis simulation experiment is executed on a self-manufactured marine engine room simulator to verify the method performance, and we obtain the correct graphical and number results. Both fault patterns in fault history and new fault pattern can be recognized. © (2013) Trans Tech Publications, Switzerland. Number of references: 7 Main heading: Random processes Controlled terms: Failure analysis - Marine engines Uncontrolled terms: Class labels - Cluster method - Cluster process - Fault patterns - Marine Diesel Engines - Marine engine room simulators - Random Walk - Random walk process Classification code: 421 Strength of Building Materials; Mechanical Properties - 612 Engines - 921 Mathematics - 922.1 Probability Theory DOI: 10.4028/www.scientific.net/AMM.333-335.1777 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
3樓2013-09-13 15:47:40
【答案】應(yīng)助回帖
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微型控制器(杈杈代發(fā)): 金幣+10, 謝謝，很有幫助！ 2013-09-13 19:53:48
微型控制器(杈杈代發(fā)): 金幣+10, 謝謝，很有幫助！ 2013-09-13 19:53:48
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Accession number: 20133516668203 Title: Generalization of label propagation algorithm in complex networks Authors: Ping Zhang, Ai1 ; Ren, Guang1; Cao, Hui1; Zhu Jia, Bao1; Bin Zhang, Shu2 Author affiliation: 1 College of Marine Engineering, Dalian Maritime University, Dalian, China 2 Department of Architectural Engineering, Jilin Province Economic Management, Cadre College, Changchun, China Source title: 2013 25th Chinese Control and Decision Conference, CCDC 2013 Abbreviated source title: Chin. Control Decis. Conf., CCDC Monograph title: 2013 25th Chinese Control and Decision Conference, CCDC 2013 Issue date: 2013 Publication year: 2013 Pages: 1306-1309 Article number: 6561127 Language: English ISBN-13: 9781467355322 Document type: Conference article (CA) Conference name: 2013 25th Chinese Control and Decision Conference, CCDC 2013 Conference date: May 25, 2013 - May 27, 2013 Conference location: Guiyang, China Conference code: 98686 Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States Abstract: We generalize the label propagation algorithm in complex networks to weighted networks by weighting the label propagation rule and the termination condition of label propagation algorithm. Experiments on computer-generated networks and real-world networks are carried out to compare the generalized algorithm with original algorithm. The results show the generalized algorithm is accurate, and the number of iteration is less. The weighed label propagation algorithm is applied to fault classification, and the good classification results are obtained. © 2013 IEEE. Number of references: 10 Main heading: Iterative methods Controlled terms: Algorithms - Complex networks Uncontrolled terms: Classification results - Fault classification - Generalized algorithms - Label propagation - Number of iterations - Original algorithms - Real-world networks - Termination condition Classification code: 722 Computer Systems and Equipment - 723 Computer Software, Data Handling and Applications - 921 Mathematics - 921.6 Numerical Methods DOI: 10.1109/CCDC.2013.6561127 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
2樓2013-09-13 15:46:54
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