{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:56:43Z","timestamp":1777571803942,"version":"3.51.4"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2014,2,25]],"date-time":"2014-02-25T00:00:00Z","timestamp":1393286400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1007\/s10845-014-0885-8","type":"journal-article","created":{"date-parts":[[2014,2,24]],"date-time":"2014-02-24T10:58:09Z","timestamp":1393239489000},"page":"525-533","source":"Crossref","is-referenced-by-count":42,"title":["A quantitative estimation technique for welding quality using local mean decomposition and support vector machine"],"prefix":"10.1007","volume":"27","author":[{"given":"Kuanfang","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuejun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,2,25]]},"reference":[{"issue":"2006","key":"885_CR1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.jmatprotec.2005.04.049","volume":"175","author":"SC Absi Alfaro","year":"2006","unstructured":"Absi Alfaro, S. C., Carvalho, G. C., & da Cunhab, F. R. (2006). A statistical approach for monitoring stochastic welding processes. Journal of Materials Processing Technology, 175(2006), 4\u201314.","journal-title":"Journal of Materials Processing Technology"},{"issue":"2012","key":"885_CR2","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1007\/s10845-010-0436-x","volume":"23","author":"D Brezak","year":"2012","unstructured":"Brezak, D., Majetic, D., Udiljak, T., & Kasac, J. (2012). Tool wear estimation using an analytic fuzzy classifier and support vector machines. Journal of Intelligent Manufacturing, 23(2012), 797\u2013809.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"885_CR3","doi-asserted-by":"crossref","unstructured":"\u00c7ayda\u015f, U., & Ekici, S. (2012). Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel. Journal of Intelligent Manufacturing, 23(2012), 639\u2013650.","DOI":"10.1007\/s10845-010-0415-2"},{"issue":"2002","key":"885_CR4","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1012450327387","volume":"46","author":"O Chapelle","year":"2002","unstructured":"Chapelle, O., & Vapnik, V. (2002). Choosing multiple parameters for support vector machines. Machine Learning, 46(2002), 131\u2013159.","journal-title":"Machine Learning"},{"issue":"2012","key":"885_CR5","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s00170-011-3597-7","volume":"60","author":"S Chatterjee","year":"2012","unstructured":"Chatterjee, S., Chatterjee, R., Pal, S., Pal, K., & Pal, S. K. (2012). Adaptive chirplet transform for sensitive and accurate monitoring of pulsed gas metal arc welding process. The International Journal of Advanced Manufacturing Technology, 60(2012), 111\u2013125.","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"2000","key":"885_CR6","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1088\/0957-0233\/11\/8\/311","volume":"11","author":"Y Cho","year":"2000","unstructured":"Cho, Y., & Rhee, S. (2000). New technology for measuring dynamic resistance and estimating strength in resistance spot welding. Measurement Science and Technology, 11(2000), 1173\u20131178.","journal-title":"Measurement Science and Technology"},{"issue":"2012","key":"885_CR7","doi-asserted-by":"crossref","first-page":"1995","DOI":"10.1007\/s10845-011-0526-4","volume":"23","author":"S Chokkalingham","year":"2012","unstructured":"Chokkalingham, S., Chandrasekhar, N., & Vasudevan, M. (2012). Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling. Journal of Intelligent Manufacturing, 23(2012), 1995\u20132001.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2008","key":"885_CR8","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.measurement.2007.01.006","volume":"41","author":"JD Cullen","year":"2008","unstructured":"Cullen, J. D., Athi, N., Al-Jader, M., Johnson, P., Al-Shamma\u2019a, A. I., & Shaw, A. (2008). Multisensor fusion for on line monitoring of the quality of spot welding in automotive industry. Measurement, 41(2008), 412\u2013423.","journal-title":"Measurement"},{"issue":"1980","key":"885_CR9","first-page":"170s","volume":"59","author":"DW Dickinson","year":"1980","unstructured":"Dickinson, D. W., Franklin, J. E., & Stanya, A. (1980). Characterization of spot welding behavior by dynamic electrical parameter monitoring. Welding Journal, 59(1980), 170s\u2013176s.","journal-title":"Welding Journal"},{"issue":"2012","key":"885_CR10","doi-asserted-by":"crossref","first-page":"1650","DOI":"10.1016\/j.asoc.2012.02.011","volume":"12","author":"S Ekici","year":"2012","unstructured":"Ekici, S. (2012). Support vector machines for classification and locating faults on transmission lines. Applied Soft Computing, 12(2012), 1650\u20131658.","journal-title":"Applied Soft Computing"},{"issue":"2013","key":"885_CR11","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/MSP.2013.2270229","volume":"30","author":"P Flandrin","year":"2013","unstructured":"Flandrin, P., Amin, M., McLaughlin, S., & Torresani, B. (2013). Time\u2013frequency analysis and applications. IEEE Signal Processing Magazine, 30(2013), 19\u2013150.","journal-title":"IEEE Signal Processing Magazine"},{"issue":"2013","key":"885_CR12","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1016\/j.measurement.2012.12.010","volume":"46","author":"K He","year":"2013","unstructured":"He, K., Zhang, Z., Xiao, S., & Li, X. (2013). Feature extraction of AC square wave SAW arc characteristics using improved Hilbert\u2013Huang transformation and energy entropy. Measurement, 46(2013), 1385\u20131392.","journal-title":"Measurement"},{"issue":"1","key":"885_CR13","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.measurement.2012.06.014","volume":"46","author":"KF He","year":"2013","unstructured":"He, K. F., Li, Q., & Chen, J. (2013). An arc stability evaluation approach for SW AC SAW based on Lyapunov exponent of welding current. Measurement, 46(1), 272\u2013278.","journal-title":"Measurement"},{"issue":"2011","key":"885_CR14","first-page":"2092","volume":"6","author":"KF He","year":"2011","unstructured":"He, K. F., Wu, J. G., & Wang, G. B. (2011). Time\u2013frequency entropy analysis of alternating current square wave current signal in submerged arc welding. Journal of Computers, 6(2011), 2092\u20132097.","journal-title":"Journal of Computers"},{"issue":"2013","key":"885_CR15","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1177\/1077546311434794","volume":"19","author":"W Hsu","year":"2013","unstructured":"Hsu, W., Chiou, D., Chen, C., Liu, M., Chiang, W., & Huang, P. (2013). Sensitivity of initial damage detection for steel structures using the Hilbert\u2013Huang transforms method. Journal of Vibration and Control, 19(2013), 857\u2013878.","journal-title":"Journal of Vibration and Control"},{"issue":"2011","key":"885_CR16","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s10845-009-0267-9","volume":"22","author":"W Huang","year":"2011","unstructured":"Huang, W., & Kovacevic, R. (2011). A neural network and multiple regression method for the characterization of the depth of weld penetration in laser welding based on acoustic signatures. Journal of Intelligent Manufacturing, 22(2011), 131\u2013143.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"885_CR17","doi-asserted-by":"crossref","unstructured":"Keerthi, S. S., & Lin, C. J. (2003). Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Computation, 15(2003), 1667\u20131689.","DOI":"10.1162\/089976603321891855"},{"issue":"2012","key":"885_CR18","first-page":"925","volume":"14","author":"RX Li","year":"2012","unstructured":"Li, R. X. (2012). Quality monitoring of resistance spot welding based on process parameters. Energy Procedia, 14(2012), 925\u2013930.","journal-title":"Energy Procedia"},{"issue":"2013","key":"885_CR19","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s00170-012-4541-1","volume":"67","author":"VK Manupati","year":"2013","unstructured":"Manupati, V. K., Rohit Anand, J. J., Thakkar, Lyes Benyoucef, Garsia, Fausto P., & Tiwari, M. K. (2013). Adaptive production control system for a flexible manufacturing cell using support vector machine-based approach. The International Journal of Advanced Manufacturing Technology, 67(2013), 969\u2013981.","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"2008","key":"885_CR20","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1179\/174329308X299986","volume":"13","author":"S Pal","year":"2008","unstructured":"Pal, S., Pal, S. K., & Samantaray, A. K. (2008). Neurowavelet packet analysis based on current signature for weld joint strength prediction in pulsed metal inert gas welding process. Science and Technology of Welding and Joining, 13(2008), 638\u2013645.","journal-title":"Science and Technology of Welding and Joining"},{"issue":"2005","key":"885_CR21","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1098\/rsif.2005.0058","volume":"2","author":"JS Smith","year":"2005","unstructured":"Smith, J. S. (2005). The localmean decomposition and its application to EEG perception date. Journal of the Royal Society Interface, 2(2005), 443\u2013454.","journal-title":"Journal of the Royal Society Interface"},{"issue":"2005","key":"885_CR22","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1016\/j.ndteint.2005.01.011","volume":"38","author":"Y Sun","year":"2005","unstructured":"Sun, Y., Bai, P., Sun, H-y, & Zhou, P. (2005). Real-time automatic detection of weld defects in steel pipe. NDT & E International, 38(2005), 522\u2013528.","journal-title":"NDT & E International"},{"issue":"2008","key":"885_CR23","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10845-008-0078-4","volume":"19","author":"C Wu","year":"2008","unstructured":"Wu, C., & Tung, P. (2008). Application of genetic algorithm to external noise cancellation and compensation in automatic arc welding system. Journal of Intelligent Manufacturing, 19(2008), 249\u2013256.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2013","key":"885_CR24","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1007\/s10845-012-0657-2","volume":"24","author":"Z Zhang","year":"2013","unstructured":"Zhang, Z., Wang, Y., & Wang, K. (2013). Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network. Journal of Intelligent Manufacturing, 24(2013), 1213\u20131227.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2013","key":"885_CR25","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1080\/10426914.2012.746705","volume":"28","author":"L Zhiyong","year":"2013","unstructured":"Zhiyong, L., Qiang, Z., Yan, L., & Xiaocheng, Y. (2013). An analysis of gas metal arc welding using the Lyapunov exponent. Materials and Manufacturing Processes, 28(2013), 213\u2013219.","journal-title":"Materials and Manufacturing Processes"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-014-0885-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-014-0885-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-014-0885-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T22:12:01Z","timestamp":1559254321000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-014-0885-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2,25]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016,6]]}},"alternative-id":["885"],"URL":"https:\/\/doi.org\/10.1007\/s10845-014-0885-8","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,2,25]]}}}