{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:49:01Z","timestamp":1725554941605},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540344827"},{"type":"electronic","value":"9783540344834"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11760191_137","type":"book-chapter","created":{"date-parts":[[2006,5,11]],"date-time":"2006-05-11T14:00:36Z","timestamp":1147356036000},"page":"939-944","source":"Crossref","is-referenced-by-count":1,"title":["A New Method for Process Monitoring Based on Mixture Probabilistic Principal Component Analysis Models"],"prefix":"10.1007","author":[{"given":"Zhong-Gai","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Fei","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"6","key":"137_CR1","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/0959-1524(96)00010-8","volume":"6","author":"E.B. Martin","year":"1996","unstructured":"Martin, E.B., Morris, A.J.: Non-parametric Confidence Bounds for Process Performance Monitoring Charts. Journal of Process Control\u00a06(6), 349\u2013358 (1996)","journal-title":"Journal of Process Control"},{"key":"137_CR2","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1021\/ie980577d","volume":"38","author":"J.H. Chen","year":"1999","unstructured":"Chen, J.H., Liu, J.L.: Mixture Principal Component Analysis Models for Process Monitoring. Ind. Eng. Chem. Res.\u00a038, 1478\u20131488 (1999)","journal-title":"Ind. Eng. Chem. Res."},{"doi-asserted-by":"crossref","unstructured":"Zhang, F.: A Mixture Probabilistic PCA Model for Multivariate Processes Monitoring. In: Proceeding of the 2004 American Control Conference, Boston, pp. 3111\u20133115 (2004)","key":"137_CR3","DOI":"10.23919\/ACC.2004.1384387"},{"issue":"2","key":"137_CR4","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1162\/089976699300016728","volume":"11","author":"E.T. Michael","year":"1999","unstructured":"Michael, E.T., Christopher, M.B.: Mixtures of Principal Component Analyzers. Neural Computation\u00a011(2), 443\u2013482 (1999)","journal-title":"Neural Computation"},{"issue":"8","key":"137_CR5","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1016\/j.compchemeng.2003.09.031","volume":"28","author":"S.W. Choi","year":"2004","unstructured":"Choi, S.W., Park, J.H., Lee, I.B.: Process Monitoring Using a Gaussian Mixture Model via Principal Component Analysis and Discriminant Analysis. Computers and Chemical Engineering\u00a028(8), 1377\u20131387 (2004)","journal-title":"Computers and Chemical Engineering"},{"issue":"2","key":"137_CR6","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/S0169-7439(03)00063-7","volume":"67","author":"D.S. Kim","year":"2003","unstructured":"Kim, D.S., Lee, I.B.: Process Monitoring Based on Probabilistic PCA. Chemometrics and Intelligent Laboratory Systems\u00a067(2), 109\u2013123 (2003)","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"issue":"3","key":"137_CR7","first-page":"381","volume":"24","author":"A.T.F. Mario","year":"2002","unstructured":"Mario, A.T.F., Anil, K.J.: Unsupervised Learning of Finite Mixture Models. IEEE Trans. on P.A.M.I.\u00a024(3), 381\u2013396 (2002)","journal-title":"IEEE Trans. on P.A.M.I."},{"key":"137_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1007\/978-3-540-28647-9_131","volume-title":"Advances in Neural Networks \u2013 ISNN 2004","author":"F. Liu","year":"2004","unstructured":"Liu, F., Zhao, Z.G.: Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol.\u00a03173, pp. 798\u2013803. Springer, Heidelberg (2004)"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks - ISNN 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11760191_137.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T07:09:01Z","timestamp":1619507341000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11760191_137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540344827","9783540344834"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/11760191_137","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}