Developing Knowledge-Based System For Noise Source Identification Of Steam Power Plant
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This paper describes the design and development of knowledge-based system to assist thermodynamic calculation process of Rankine cycles. With this application, user can enter their Rankine cycle flow-diagrams and accompanying data into program. The knowledge-based system will then calculate various thermodynamic parameters which indicates the operating performance of the Rankine cycle. As the central of the knowledgebased system is the information/knowledged-based itself. The knowledge-based is designed by following Semantic Network model with frame-based representation. The knowledge-based system also features thermodynamic property data based on the IAPWS Formulation for General and Scientific Use (IAPWS-95). This formulation provides the most accurate representation of the thermodynamic properties of the fluid phases of water substance over a wide range of conditions available at the time this project was prepared. Since the noise source identification of steam power plant is started from the identification and calculation of the thermodynamic properties of the fluid phases of water substance over a wide range of conditions, so the knowledge-based system supported the user to identification and calculation of the noise source of the steam power system.