Browsing Faculty of Engineering by Subject "Fault"
Now showing items 1-4 of 4
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Application of exergy-based fault detection in a gas-to-liquids process plant
(MDPI, 2019)Fault detection and isolation (FDI) within the petrochemical industries (PCIs) is largely dominated by statistical techniques. Although a signal-based technique centered on exergy flows within a process plant was proposed, ... -
Computational cost of an exergy-based fault detection scheme implemented in a commercial process simulator
(Elsevier, 2019)Energy-based fault detection and isolation (FDI) schemes show promise in terms of applicability to petrochemical industries and the broader process industries. Model-based FDI schemes offer pronounced advantages over more ... -
Continuous machine learning for abnormality identification to aid condition-based maintenance in nuclear power plant
(Elsevier, 2018)A condition-based maintenance (CBM) regime in a nuclear plant will result in eliminating unnecessary maintenance cost without jeopardizing the safety of the plant. The foundation of a good CBM regime is an accurate and ... -
Correlating hardware fault detection information from distributed control systems to isolate and diagnose a fault in pressurised water reactors
(Elsevier, 2013)Early fault identification systems enable detecting and diagnosing early onset faults or fault causes which allow maintenance planning on the equipment showing signs of deterioration or failure. This includes valve and ...