نوع مقاله : ترویجی
نویسندگان
1 مدیر فناوری اطلاعات و ارتباطات، شرکت ملی پالایش و پخش فراورده های نفتی ایران، تهران، ایران
2 دپارتمان مهندسی الکترونیک، دانشگاه صنعت نفت، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
In this paper, we present an intelligent operator support system (IOSS) for detection of process upsets and determining their causes .The system uses a simple conventional back-propagation (BP) artificial neural network (ANN) to achieve its diagnostic purposes. However, the capability of the proposed methodology is enhanced to simultaneously diagnose multiple faults and their severity levels via employing a number of functional units to the network input layer. The effectiveness of the proposed approach has been examined through simulation study of a Heptane-to-Toluene process in steady state operation.
کلیدواژهها [English]
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