الفهرس 
Remote Terminal Unit (RTU) in SCADA systemsOnly 14 pages are availabe for public view
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Abstract
The Case Study for Applications of Supervisory Control and Data Acquisition
(SCADA) for Industrial Processes Using a Fuzzy Logic - based Expert System is
presented in this scientific research.
Fault Detection and Diagnosis in the Marine Technology Field Using a Fuzzy Logic based Expert System to generate SCADA of Turbocharged Diesel Engines in making judgement in a specific, usually narrow area of expertise, a fuzzy knowledge-based system (FKBS) could outperform any single expert. A proposed implementation of a fuzzy knowledge-based Expert System (FKBS) of a marine turbocharged diesel engine using a caterpillar CAT 3126B solves the turbo lag
problem that occurs in conventional turbocharger diesel engine in Model (MAK
8M453C) in terms of Performance, Environment, Actuators, and Sensors (PEAS). The goal of the modification approach for the turbocharged diesel engine at low to medium speeds is to improve throttle response, fuel consumption, and emissions. Variable Geometry Turbo (VGT) actuators are designed to increase boost pressure at low
speeds and increase available torque with less response time. The Exhaust Gas
Recirculation (EGR) actuator is intended to reduce engine temperature (as a cooler), reduce nitrogen oxide (Nox) exhaust emissions, and limit pumping losses. SCADA Expert System connects the various parts designed with individual software tools into one simple to follow historical data and simple to implement real-time measurements. Alarms generated by concurrently monitored variables can originate in the SCADA system without passing through the rules module. Intelligent monitoring’s high performance is associated with statistical decision-making techniques and computational procedures, making it efficient and fully autonomous in producing optimal marine diesel.