Predictive analytics for fault reasoning in gas flow control facility: A hybrid fuzzy theory and expert system approach

E. Hassannayebi | S. M. S. Alizadeh | Memarpour         M. | R. Nourian | Seyed Meysam Mousavi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=169785
Date :  2022/05/03
Publish in :    Journal of Loss Prevention in the Process Industries


Keywords :Predictive analytic, Object-oriented programming, Decision tree, Fuzzy inductive reasoning, Failure diagnosis and analysis, Gas stations

Abstract :

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Gas pressure reduction stations are essential in energy distribution networks because even a minor failure of these systems causes disruptive consumer problems. This study aims to introduce and implement a new knowledge-based platform that uses the synthesized expert’s opinions to improve gas pressure control facilities. Given the record of failure of gas transmission system components and the data’s uncertain nature, a new fuzzy expert system is developed that takes advantage of the object-oriented programming paradigm to analyze failure modes and conditions. The artificial intelligent model is designed in C programming language, and a userfriendly interface is developed for ease of implementation. The knowledge-based model’s validity has been tested by implementing real-world case studies adapted from the Iranian gas industry. Implementing the designed expert system shows that it can minimize the probability of a breakdown and improve safety conditions.