{"id":{"repo_id":"nus","oai_identifier":"oai:scholarbank.nus.edu.sg:10635/13096"},"canonical_url":"https://search.dev.ndltd.org/etd/nus/oai:scholarbank.nus.edu.sg:10635/13096","repository":{"repo_id":"nus","name":"National University of Singapore","base_url":"https://scholarbank.nus.edu.sg/oai/request"},"display":{"title":"A collaborative, multi-agent based methodology for abnormal events management","abstract":"Modern chemical plants have complicated unit operations with considerable recycles. The complex controls and instrumentation installed often compensate and conceal faults, causing many faults in the process to remain undetected, until serious consequences occur. This thesis strives to explore new methodologies suitable for fault detection and identification (FDI) during transient mode of operations. 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