RFID platform with passive pressure and temperature sensors for tyre identificatio...
Grant number: | 17/10707-5 |
Support Opportunities: | Research Grants - Innovative Research in Small Business - PIPE |
Duration: | March 01, 2018 - June 30, 2020 |
Field of knowledge: | Engineering - Electrical Engineering - Electrical, Magnetic and Electronic Measurements, Instrumentation |
Principal Investigator: | André Luiz Casimiro |
Grantee: | André Luiz Casimiro |
Host Company: | Brax Indústria e Comércio de Máquinas e Equipamentos Eletrônicos Ltda |
CNAE: |
Fabricação de aparelhos e equipamentos de medida, teste e controle |
City: | Rio Claro |
Pesquisadores principais: | Adriano Casimiro |
Associated research grant: | 15/15825-0 - Method and device for electric arc detection by ultrasound, AP.PIPE |
Associated scholarship(s): | 18/08882-6 - Electrical station monitoring,
BP.TT 18/09324-7 - Electrical station monitoring, BP.TT 18/08095-4 - Electrical station monitoring, BP.TT 18/07987-9 - Electrical station monitoring, BP.PIPE 18/07994-5 - Electrical station monitoring, BP.PIPE |
Abstract
In the last decades, the concern regarding the quality of electrical energy has intensified. Aspects such as continuity of supply, voltage level, voltage fluctuations and harmonic distortions are parameters for the classification of electric power quality. The occurrence of Electric Arc and Partial Discharge in electrical installations directly interfere in the aspect of continuity of electric power supply. These phenomena cause damage to the electrical installations, the equipment connected to them and can even cause the death of people exposed to the installations. In this sense Brax is developing a monitoring system for low and high voltage electrical installations with the purpose of avoiding shutdowns in electricity supply and avoiding accidents. The system is characterized by sensors with IIoT (Industrial Internet of Things) technology designed to monitor in real time the temperature of the conductors by contact and Partial Discharge by ultrasound. In this way the predictive maintenance will have greater efficiency and also will not have the necessity to carry out periodic inspections with thermographic images and equipment of detection of Partial Discharges. (AU)
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