Advanced Materials Research Vols. 463-464

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Abstract: This paper presents some aspects regarding the possibility of combining microcontroller and programmable logic controller (PLC) for robot control. The RPP robot is designed and manufactured within the Faculty of Engineering from “Lucian Blaga” University of Sibiu, as a patent: BRAŢ TELESCOPIC, Nr. 112418 B1, Int.CI.6 B 25 J 18/02, from 17.02.1997. Classical systems for programming and control of industrial robot are based on numerical control equipment, developed around a PC. Programmable Logic Controllers (PLC) haves proven to be viable alternatives to driving machine tools, industrial systems and Robots. Microcontrollers as computers offer advantage due to programmable inputs and outputs ports. The application of a microcontroller and PLC in control of a robot is presented in this paper.
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Abstract: Recently technologies like vibration monitoring or acoustic measurement help the maintenance to improve the OEE (overall equipment effectiveness) factor. For example SKF company uses for fault detection vibration and temperature sensors and vibration signal processing techniques that differentiate between normal machinery process vibrations and abnormal vibrations caused by machinery faults. The fault can be eliminated or monitored until maintenance and repairs can be organized in a cost-effective way. The type of pattern with frosted or fluted features on the bearing inner or outer race it's often found on the electrical motors bearings due to electric discharge inside motor. This defect can decrease the asset life time from months to days and could lead to catastrophic defects.
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Abstract: Environmental and economical constrains to build more aggregate bulk power plants and transmission lines besides slow improvement of DG in compare with fast growth of demand, resulted in operation of heavily loaded power grids near their stability limits. Meanwhile, a disturbance occurrence may lead to voltage instability more probably than ever before. A smart methodology of load shedding, based on optimized fuzzy inference logic, is evaluated in this paper to mitigate instability state of the power system. The result indicates more reliable voltage maintenance while using optimized membership function in our defined fuzzy logic system
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