CISUC

Support Vector Machines for Quality Monitoring in a Plastic Injection Molding Machine

Authors



Keywords

SVM, RBF, NNs

Journal

IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, Vol. 35, #3, pp. 401-410, IEEE, August 2005

Cited by

Year 2011 : 7 citations

 JIAN, Ling; GAO, Chuanhou,
Construction of Multiple Kernels Learning Framework with Applicatiion to a Blast Furnace System
Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews, pp. , 2011

 Elattar, E. E.; Goulermas, J. Y.; Wu, Q. H.;"Generalized Locally Weighted GMDH for Short Term Load Forecasting"
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews. Volume: PP Issue:99
On page(s): 1 - 12 ISSN: 1094-6977

 Gruber, D.P.a , Berger, G.b , Pacher, G.a , Friesenbichler, W.b
Novel approach to the measurement of the visual perceptibility of sink marks on injection molding parts
(2011) Polymer Testing, 30 (6), pp. 651-656.

 Correa-Tapasco, E., Perez-Londoño, S., Mora-Florez, J.
Setting strategy of a SVM regressor for locating single phase faults in power distribution systems
(2011) 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, art. no. 5762976, pp. 798-802.

 Gani, W., Taleb, H., Limam, M.
An assessment of the kernel-distance-based multivariate control chart through an industrial application
(2011) Quality and Reliability Engineering International, 27 (4), pp. 391-401.

 Correa-Tapasco, Mora-Florez, J., E., Perez-Londoño, S., “Hybrid Approach for an Optimal Adjustment of a Knowledge based Regression Technique for Locating Faults in Power Distribution Systems”, Dyna, 78, Nro. 170, pp. 31-41. Medellin, December, 2011. ISSN 0012-7353

 RJ Liao, HB Zheng, S Grzybowski, L. Yang, “A multiclass SVM-based classifier for transformer fault diagnosis using a particle swarm optimizer with time-varying acceleration coefficients”, European Transactions 1on Electrical Power, 2011 – John Wiley & Sons, Ltd., NOV 2011, DOI: 10.1002/etep.651

Year 2010 : 11 citations

 Mariette Awad, Y Motai , and H Yoshida , ``A Clinical Decision Support Framework for Incremental Polyps Classification in Virtual Colonoscopy', Algorithms, 3(1), 1-20; 2010 doi:10.3390/a3010001

 Meng, X., Xie, Y., Dai, X.,Jixie Gongcheng Xuebao , Methodology of designing for time-varying performance of complex products, Journal of Mechanical Engineering 46 (1), pp. 128-133, 2010

 Gani, W., Taleb, H., Limam, M, Support vector regression based residual control charts, Journal of Applied Statistics 37 (2), pp. 309-324, 2010

 Huang, Ching Neng, "Optimal manufacturing parameter", Trans Control, 2010

 G Xian , "Mechanical failure classification for spherical roller bearing of hydraulic injection", Expert Systems with Applications, 2010

  Elattar, E.E., Goulermas, J., Wu, Q.H., Electric load forecasting based on locally weighted support vector regression, IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 40 (4), art. no. 5406166, pp. 438-447, 2010

 Patel, P.B., Marwala, T.,Caller behaviour classification using computational intelligence methods, International Journal of Neural Systems, Volume 20, Issue 1, February 2010, Pages 87-93 , 2010

  Meng, X., Xie, Y., Dai, X. , Methodology of designing for time-varying performance of complex products , Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 46 (1), pp. 128-133, 2010

 Setting strategy of a SVM regressor for locating single phase faults in power distribution systems, E Correa-Tapasco, S Perez-London, t-dlamerica, 2010

 "Applications of Cascade Correlation Neural Networks for Manufacturing Process Monitoring", Zhao Yongman
He Zhen, 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, China
November 26-November 28, 2010
ISBN: 978-0-7695-4279-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIII.2010.176

 Determination of Optimal Manufacturing Parameters for Injection Mold by Inverse Model Basing on MANFIS , Chung-Neng Huang, Chong-Ching Chang, PP.28-35, Journal of Intelligent Learning Systems and Applications, JILSA, Vol.2 No.1, February 2010, DOI: 10.4236/jilsa.2010.21004

Year 2009 : 8 citations

 Rotating machinery fault diagnosis based on fuzzy proximal support vector machine optimized by particle swarm optimization, Yu, X.-T., Lu, W.-X., Chu, F.-L, Zhendong yu Chongji/Journal of Vibration and Shock, Volume 28, Issue 11, November 2009, Pages 183-186 198

 Strategies for Voltage Sag Source Relative Location in Power Distribution Networks,
Vi­ctor Augusto Barrera, Xavier Berjaga Moliner1, Gabriel Plata, Joaquim M Frigola, Rev.fac.ing.univ. Antioquia no.50 Medell Oct./Dec. 2009

 Fault diagnosis approach for rolling bearing based on support vector machine and soft morphological filters , Guo, L., Chen, J., Li, X., JVC/Journal of Vibration and Control 15 (9), pp. 1349-1363, 2009

 Dual features functional support vector machines for fault detection of rechargeable batteries
Park, J.I., Baek, S.H., Jeong, M.K., Bae, S.J. 2009 IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 39 (4), pp. 480-485

 Rolling Bearing Fault Classification Based on Envelope Spectrum and Support Vector, L Guo, J Chen, X Li - Journal of Vibration and Control, 2009 - jvc.sagepub.com

 Statistical Process Control using Support Vector Machines: A Case Study, W Gani, HTM Limam - bsieducation.org, 2009

 "Case-Based Diagnosis in the principal component space. Application to injection moulds" T-America, X Berjaga, A Pallar, J Me‚Andez, FI Gamero, 2010

 Soft morphological filter based on support vector machine and rolling bearing fault diagnosis method
Xiang-Tao Journal of Mechanical Engineering, 2009
System parameters identifying and performance predicting of ICEs combining multidisciplinary model with system responding data , Meng, X., Xie, Y.Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis 2, pp. 729-734, 2009

Year 2008 : 5 citations

 Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA, Yu, J., Xi, L., Zhou, X. 2008 Computers in Industry 59 (5), pp. 489-501

 Model selection approaches for non-linear system identification: A review, Hong, X., Mitchell, R.J., Chen, S., Harris, C.J., Li, K., Irwin, G.W. 2008 International Journal of Systems Science 39 (10), pp. 925-946

 LSSVM Based Fault Diagnosis for Satellite Attitude Control Systems, Control Engineering of China, 3, 2008

 Predicting the parts weight in plastic injection molding using least squares support vector regression
Show Abstract Li, X., Hu, B., Du, R. 2008 IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 38 (6), pp. 827-833

 Application of SVM based geometric distance method in equipment performance degradation assessment , Guo, L., Chen, J., Zhao, F.-G., Dong, G.-M., Wang, G.-W. 2008 Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 42 (7), pp. 1077-1080

Year 2007 : 2 citations

 WANG Ding-cheng,JIANG Bin,"Review of SVM-based Control and Online Training Algorithms", JOURNAL OF SYSTEM SIMULATION, Vol.19 No.6 P.1177-1181, 2007

 Support Vector Machines and Its Applications in Machine Fault Diagnosis,Application of support vector machine in machinery fault diagnosis, Journal of Industrial Science & Technology], 11, 2007