Fault detection and diagnosis using unknown input observer for non-linear chemical processes
Advanced automatic control technologies have brought significant benefits to the chemical industry. This is however, hampered by the inefficiency in providing effective detection and diagnosis of process faults that may emerge from various aspects of plant operation. Among the available techniques,...
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Format: | Thesis |
Language: | English |
Published: |
2022
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Online Access: | http://eprints.utm.my/102989/1/AliHusseinAliAlShatriPSChe2022.pdf.pdf |
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