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

Hassannayebi, E ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.jlp.2022.104796
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. 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 user-friendly 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. © 2022 Elsevier Ltd
  6. Keywords:
  7. Decision tree ; Failure diagnosis and analysis ; Object-oriented programming ; Decision trees ; Expert systems ; Flow of gases ; Gas industry ; Object oriented programming ; Predictive analytics ; Failure Diagnosis ; Fault reasoning ; Fuzzy expert ; Fuzzy inductive reasoning ; Fuzzy theory ; Gas flow control ; Gas pressures ; Gas stations ; Objectoriented programming (OOP) ; Systems approach ; Gases
  8. Source: Journal of Loss Prevention in the Process Industries ; Volume 77 , 2022 ; 09504230 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0950423022000730