Please use this identifier to cite or link to this item: https://doi.org/10.1109/INDIN.2006.275811
DC FieldValue
dc.titleClustering intelligent sensor nodes for distributed fault detection & diagnosis
dc.contributor.authorJoe, Y.Y.
dc.contributor.authorHo, W.K.
dc.contributor.authorLim, K.W.
dc.contributor.authorDing, Z.Q.
dc.contributor.authorZhang, J.B.
dc.contributor.authorLing, K.V.
dc.contributor.authorRomagnoli, J.A.
dc.date.accessioned2014-10-07T04:42:28Z
dc.date.available2014-10-07T04:42:28Z
dc.date.issued2007
dc.identifier.citationJoe, Y.Y.,Ho, W.K.,Lim, K.W.,Ding, Z.Q.,Zhang, J.B.,Ling, K.V.,Romagnoli, J.A. (2007). Clustering intelligent sensor nodes for distributed fault detection & diagnosis. 2006 IEEE International Conference on Industrial Informatics, INDIN'06 : 1211-1216. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/INDIN.2006.275811" target="_blank">https://doi.org/10.1109/INDIN.2006.275811</a>
dc.identifier.isbn0780397010
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/83549
dc.description.abstractHaving studied distributed process monitoring using intelligent nodes in a cluster, we now extend the study to include using multiple clusters of nodes to monitor multiple process units interconnected to form a process plant. Our case study is that of a reaction process consisting of two CSTRs and auxiliary equipments such as tanks, heat exchangers etc. The study aims to explore the possibility of the new framework of distributed (and collaborative) process monitoring, in which fault detection and diagnosis is performed at the physical sensor and sensor cluster level. The resulting framework should be a better advisory tool for situation analysis and fault diagnosis by plant operator; while potential extension includes prognosis and the inclusion in control and fault recovery. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/INDIN.2006.275811
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/INDIN.2006.275811
dc.description.sourcetitle2006 IEEE International Conference on Industrial Informatics, INDIN'06
dc.description.page1211-1216
dc.identifier.isiutNOT_IN_WOS
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