Multi-state analysis functional models using Bayesian networks

• المؤلفون الرئيسيون: Khalil, Mohamed A. R., Ahmad, Arshad, Tuan Abdullah, Tuan Amran, Ali Al-Shatri, Ali Hussein, Ali Al-Shanini, Ali Hasan
• التنسيق: مقال
• اللغة: English
• منشور في: Penerbit UTM Press 2016
• الموضوعات: TP Chemical technology
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/68020/1/ArshadAhmad2016_MultiStateAnalysisofProcessStatus.pdf; http://eprints.utm.my/id/eprint/68020/; https://www.scopus.com/record/display.uri?eid=2-s2.0-84988311405&origin=inward&txGid=715B37077DFEC700BFF22B506FE01FA3.wsnAw8kcdt7IPYLO0V48gA%3a2#

Multilevel Flow Modeling (MFM) model maps functionality of components in a system through logical interconnections and is effective in predicting success rates of tasks undertaken. However, the output of this model is binary, which is taken at its extrema, i.e., success and failure, while in reality...