{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:25Z","timestamp":1742914105696,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319316635"},{"type":"electronic","value":"9783319316642"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-31664-2_35","type":"book-chapter","created":{"date-parts":[[2016,3,24]],"date-time":"2016-03-24T11:47:14Z","timestamp":1458820034000},"page":"344-354","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Fault Identification in Sensor Networks Based on Probabilistic Modeling"],"prefix":"10.1007","author":[{"given":"Stavros","family":"Ntalampiras","sequence":"first","affiliation":[]},{"given":"Georgios","family":"Giannopoulos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,3,25]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Quevedo, J., Alippi, C., Cuguero, M.A., Ntalampiras, S., Puig, V., Roveri, M., Garcia, D.: Temporal\/spatial model-based fault diagnosis vs. hidden Markov models change detection method: application to the Barcelona water network. In: 2013 21st Mediterranean Conference on Control Automation, pp. 394\u2013400 (2013)","DOI":"10.1109\/MED.2013.6608752"},{"key":"35_CR2","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1038\/nphys2727","volume":"9","author":"A Bashan","year":"2013","unstructured":"Bashan, A., Berezin, Y., Buldyrev, S.V., Havlin, S.: The extreme vulnerability of interdependent spatially embedded networks. Nat Phys. 9, 667\u2013672 (2013)","journal-title":"Nat Phys."},{"key":"35_CR3","volume-title":"Fault Detection, Isolation, and Identification for Nonlinear Systems Using a Hybrid Approach","author":"E Sobahni-Tehrani","year":"2008","unstructured":"Sobahni-Tehrani, E.: Fault Detection, Isolation, and Identification for Nonlinear Systems Using a Hybrid Approach. Concordia University, Canada (2008)"},{"key":"35_CR4","unstructured":"Zampino, E.J.: The extreme vulnerability of interdependent spatially embedded networks. In: Proceedings of Annual of Reliability and Maintainability Symposium, pp. 16\u201322 (2001)"},{"issue":"1","key":"35_CR5","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1109\/TNS.1971.4325911","volume":"18","author":"PA Crosetti","year":"1971","unstructured":"Crosetti, P.A.: Fault tree analysis with probability evaluation. IEEE Trans. Nucl. Sci. 18(1), 465\u2013471 (1971)","journal-title":"IEEE Trans. Nucl. Sci."},{"issue":"6","key":"35_CR6","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1049\/ip-cta:19952089","volume":"142","author":"AL Dexter","year":"1995","unstructured":"Dexter, A.L.: Fuzzy model based fault diagnosis. IEE Proc. Control Theor. Appl. 142(6), 545\u2013550 (1995)","journal-title":"IEE Proc. Control Theor. Appl."},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Mendonsa, L.F., Sousa, J.M.C., Sa da Costa, J.M.G.: Fault detection and isolation of industrial processes using optimized fuzzy models. In: The 14th IEEE International Conference on Fuzzy Systems, pp. 851\u2013856 (2005)","DOI":"10.1109\/FUZZY.2005.1452505"},{"key":"35_CR8","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/BF02551274","volume":"2","author":"G Cybenko","year":"1989","unstructured":"Cybenko, G.: Approximation by superpositions of a sigmoidal function. Math. Control, Signals, Syst. 2, 303\u2013314 (1989)","journal-title":"Math. Control, Signals, Syst."},{"issue":"5","key":"35_CR9","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1109\/41.873214","volume":"47","author":"B Li","year":"2000","unstructured":"Li, B., Chow, M.-Y., Tipsuwan, Y., Hung, J.C.: Neural-network-based motor rolling bearing fault diagnosis. IEEE Trans. Ind. Electron. 47(5), 1060\u20131069 (2000)","journal-title":"IEEE Trans. Ind. Electron."},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Patton, R.J., Chen, J., Siew, T.M.: Fault diagnosis in nonlinear dynamic systems via neural networks. In: International Conference on Control, vol. 2, pp. 1346\u20131351 (1994)","DOI":"10.1049\/cp:19940332"},{"issue":"1","key":"35_CR11","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/BF01413866","volume":"4","author":"D Yu","year":"1996","unstructured":"Yu, D., Shields, D.N., Daley, S.: A hybrid fault diagnosis approach using neural networks. Neural Comput. Appl. 4(1), 21\u201326 (1996)","journal-title":"Neural Comput. Appl."},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Ming, Y., et al.: A Hybrid Approach for Fault Diagnosis based on Multilevel Flow Models and Artificial Neural Network, vol. 2. IEEE Computer Society (2006)","DOI":"10.1109\/CIMCA.2006.9"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Duan, H., Xiufen, Y., Ma, G.: Novel hybrid approach for fault diagnosis in 3-dof flight simulator based on BP neural network and ant colony algorithm. In: IEEE Swarm Intelligence Symposium, pp. 371\u2013374 (2007)","DOI":"10.1109\/SIS.2007.367962"},{"issue":"2","key":"35_CR14","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1016\/j.asoc.2008.03.006","volume":"11","author":"PP Bonissone","year":"2011","unstructured":"Bonissone, P.P., Xue, F., Subbu, R.: Fast meta-models for local fusion of multiple predictive models. Appl. Soft Comput. 11(2), 1529\u20131539 (2011)","journal-title":"Appl. Soft Comput."},{"issue":"6","key":"35_CR15","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.conengprac.2010.03.003","volume":"18","author":"J Quevedo","year":"2010","unstructured":"Quevedo, J., et al.: Validation and reconstruction of flow meter data in the Barcelona water distribution network. Control Eng. Pract. 18(6), 640\u2013651 (2010)","journal-title":"Control Eng. Pract."},{"issue":"1","key":"35_CR16","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explor. Newsl."},{"issue":"6","key":"35_CR17","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1016\/S0893-6080(05)80125-X","volume":"6","author":"K Funahashi","year":"1993","unstructured":"Funahashi, K., Nakamura, Y.: Approximation of dynamical systems by continuous time recurrent neural networks. Neural Networks 6(6), 801\u2013806 (1993)","journal-title":"Neural Networks"},{"key":"35_CR18","unstructured":"Potamitis, I.: Single channel enumeration and recognition of an unknown and time-varying number of sound sources. In: 16th European Signal Processing Conference, Laussane, pp. 25\u201329, August 2008"}],"container-title":["Lecture Notes in Computer Science","Critical Information Infrastructures Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-31664-2_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T18:59:50Z","timestamp":1600369190000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-31664-2_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319316635","9783319316642"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-31664-2_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}