{"_id":"wFhM463i4kmz8dpxN","bibbaseid":"atoui-cohen-verron-kobi-asinglebayesiannetworkclassifierformonitoringwithunknownclasses-2019","author_short":["Atoui, M. A.","Cohen, A.","Verron, S.","Kobi, A."],"bibdata":{"bibtype":"article","type":"article","title":"A single Bayesian network classifier for monitoring with unknown classes","volume":"85","issn":"0952-1976","url":"https://www.sciencedirect.com/science/article/pii/S0952197619301800","doi":"10.1016/j.engappai.2019.07.016","abstract":"In this paper, the Conditional Gaussian Networks (CGNs), a form of Bayesian Networks (BN), are used as a statistical process monitoring approach to detect and diagnose faults. The proposed approach improves the structure of Bayesian networks and generalizes a few results regarding statistical tests and the use of an exclusion criterion. The proposed framework is evaluated using data from the benchmark Tennessee Eastman Process (TEP) with various scenarios.","language":"en","urldate":"2021-10-14","journal":"Engineering Applications of Artificial Intelligence","author":[{"propositions":[],"lastnames":["Atoui"],"firstnames":["M.","Amine"],"suffixes":[]},{"propositions":[],"lastnames":["Cohen"],"firstnames":["Achraf"],"suffixes":[]},{"propositions":[],"lastnames":["Verron"],"firstnames":["Sylvain"],"suffixes":[]},{"propositions":[],"lastnames":["Kobi"],"firstnames":["Abdessamad"],"suffixes":[]}],"month":"October","year":"2019","keywords":"Bayesian networks, Classification, Exclusion criteria, Fault detection and diagnosis","pages":"681–690","bibtex":"@article{atoui_single_2019,\n\ttitle = {A single {Bayesian} network classifier for monitoring with unknown classes},\n\tvolume = {85},\n\tissn = {0952-1976},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0952197619301800},\n\tdoi = {10.1016/j.engappai.2019.07.016},\n\tabstract = {In this paper, the Conditional Gaussian Networks (CGNs), a form of Bayesian Networks (BN), are used as a statistical process monitoring approach to detect and diagnose faults. The proposed approach improves the structure of Bayesian networks and generalizes a few results regarding statistical tests and the use of an exclusion criterion. The proposed framework is evaluated using data from the benchmark Tennessee Eastman Process (TEP) with various scenarios.},\n\tlanguage = {en},\n\turldate = {2021-10-14},\n\tjournal = {Engineering Applications of Artificial Intelligence},\n\tauthor = {Atoui, M. Amine and Cohen, Achraf and Verron, Sylvain and Kobi, Abdessamad},\n\tmonth = oct,\n\tyear = {2019},\n\tkeywords = {Bayesian networks, Classification, Exclusion criteria, Fault detection and diagnosis},\n\tpages = {681--690},\n}\n\n\n\n","author_short":["Atoui, M. A.","Cohen, A.","Verron, S.","Kobi, A."],"key":"atoui_single_2019","id":"atoui_single_2019","bibbaseid":"atoui-cohen-verron-kobi-asinglebayesiannetworkclassifierformonitoringwithunknownclasses-2019","role":"author","urls":{"Paper":"https://www.sciencedirect.com/science/article/pii/S0952197619301800"},"keyword":["Bayesian networks","Classification","Exclusion criteria","Fault detection and diagnosis"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["iwKepCrWBps7ojhDx"],"keywords":["bayesian networks","classification","exclusion criteria","fault detection and diagnosis"],"search_terms":["single","bayesian","network","classifier","monitoring","unknown","classes","atoui","cohen","verron","kobi"],"title":"A single Bayesian network classifier for monitoring with unknown classes","year":2019}