Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—Currently, the safety monitoring process in a complex plant environment is proceeded by the human. Sometimes, human error that may occur in a filed causes a severe problem. This paper introduces a soft-computing method for detection of the abnormal status of plant equipment using sound information and neuro-fuzzy theory that is one of the intelligent theories. The sound for testing is acquired from the cylinder valve, compressor operation, safety valve open. In this paper, the high-pressure gas filling plant will be used as a test plant. The resulting system will be widely applied to more complex plant environments.
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