High Rate Report Synchrophasor Technique during Dynamic Conditions

139–143Current industrial applications of synchrophasors in intelligent grids depend to a great extent on highly trustable measurements, mainly during dynamic conditions of a power system, like a power swing which exhibits simultaneous variations of amplitude and phase in both voltage and current. This work presents the assessment of the performance of a novel synchrophasor technique following tests of the dynamic section of the IEEE Std. C37.118.1-2011, which requests testing the simultaneous variations of amplitude and phase

High Rate Report Synchrophasor Technique during Dynamic Conditions

Current industrial applications of synchrophasors in intelligent grids depend to a great extent on highly trustable measurements, mainly during dynamic conditions of a power system, like a power swing which exhibits simultaneous variations of amplitude and phase in both voltage and current. This work presents the assessment of the performance of a novel synchrophasor technique following tests of the dynamic section of the IEEE Std. C37.118.1-2011, which requests testing the simultaneous variations of amplitude and phase

Novel Method for Wind Turbines Blades Damage Classification using Image Processing

Wind turbine generators are spreading around the world due to its advantages over fossil fuels. Structural monitoring of them is important to increase operation and reduce maintenance times. Visual inspection is highly influenced by the human factor due to the working conditions. Image processing supported by vision systems offers high advantages reducing times, being the software and processing algorithms, which generates added value. In this paper, a novel method for wind turbines blades damages analysis is presented using image processing and a classifier based on dimensional features. The image acquisition is performed using a reflex camera with a telephoto and geo-location enabled. The faults analyzed include cracks, edge erosion, and electric discharge

Novel Method for Wind Turbines Blades Damage Classification using Image Processing

75-79Wind turbine generators are spreading around the world due to its advantages over fossil fuels. Structural monitoring of them is important to increase operation and reduce maintenance times. Visual inspection is highly influenced by the human factor due to the working conditions. Image processing supported by vision systems offers high advantages reducing times, being the software and processing algorithms, which generates added value. In this paper, a novel method for wind turbines blades damages analysis is presented using image processing and a classifier based on dimensional features. The image acquisition is performed using a reflex camera with a telephoto and geo-location enabled. The faults analyzed include cracks, edge erosion, and electric discharge

A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities

The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net. This work presents a novel methodology for power quality disturbances detection and classification based on the Harris hawks optimization algorithm and discrete wavelet transforms decomposition of the signal

A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities

819-823The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net. This work presents a novel methodology for power quality disturbances detection and classification based on the Harris hawks optimization algorithm and discrete wavelet transforms decomposition of the signal

Identification of Positioning System for Industrial Applications using Neural Network

141-144The servomotor is an essential element in the automation of industrial processes, and its control is necessary to achieve better performance in applications of industrial positioning. In the systems control, the knowledge of plant model through proper identification is fundamental. This work presents a methodology based on neural networks to obtain the servomotors models on industrial applications related to positioning. The effectiveness of this proposal was tested on the axes of an industrial Robot and a CNC milling machine

FPGA Lead-lag Compensator Design for Industrial Control Systems

733-736This paper presents the design of Field-Programmable Gate Array (FPGA)-based lead-lag compensator for industrial applications. The compensator parameters have been tuned using a crossover frequency method and the digital design of the filter has been developed using bilinear transform. The responses obtained with the designed compensator show high performance in the industrial systems

Tool-Wear Estimation in Cnc Machine Based On Fusion Vibration-Current and Neural Network

688-691The costs of the cutting tools and their replacement become an important amount of the total production costs in a manufacturing process. This work presents a methodology based on machine vibration, servomotor electric current and an artificial neural network to obtain the tool-wear detection in CNC machine inserts. The effectiveness of this proposal was tested in the tool of CNC lathe machine and validated with the image quantification

Voltage drop repercussions in industrial processes due to the interaction of several machines in a manufacturing cell

746-753This paper presents a novel methodology based on S transform and power quality analysis for the study of voltage variation generated by simultaneous operation of equipment in a manufacturing cell and their impact on susceptible equipment as well as their implications in the turning process. </span