سال انتشار:
2019
عنوان انگلیسی مقاله:
A fuzzy expert system for mitigation of risks and effective control of gas pressure reduction stations with a real application
ترجمه فارسی عنوان مقاله:
یک سیستم خبره فازی برای کاهش خطرات و کنترل مؤثر ایستگاه های کاهش فشار گاز با کاربرد واقعی
منبع:
Sciencedirect - Elsevier - Journal of Loss Prevention in the Process Industries, 59 (2019) 77-90: doi:10:1016/j:jlp:2019:03:003
نویسنده:
R. Nouriana, S. Meysam Mousavib,∗, S. Raissia
چکیده انگلیسی:
Environmental changes and increased uncertainty due to technical damage, explosions and large fires have
caused the risk of an inevitable element in the gas industry. This study purposes developing a new hybrid fuzzy
expert system as a decision support system to mitigate the risk associated with gas transmission stations. The
designed knowledge-based system combines the procedural and descriptive rules based on experts’ judgments to
analyze the complex relationships between the different components of a gas pressure reduction station. The
developed fuzzy expert system is coded in C language integrated production system (CLIPS) and is linked with
MATLAB software for calling fuzzy functions. A real case study of gas pressure reduction stations in Iranian gas
industry is conducted to validate the proposed expert system model. The expert system provides more than one
thousand rules based on expert knowledge to prevent the pressure drop and the quality loss of gas or shutting off
gas flow which accordingly increases gas flow stability. The proposed expert system could minimize the risk of
hazardous scenarios, such as leakage and corrosion, in the gas industry and provide an acceptable precision in
the provision of periodic control strategies and appropriate response under an emergency condition.
Keywords: Expert systems | Gas city stations | Decision support | Fuzzy variables | Gas pressure
قیمت: رایگان
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